All the vulnerabilites related to tensorflow - tensorflow
cve-2023-25673
Vulnerability from cvelistv5
Published
2023-03-24 23:30
Modified
2024-08-02 11:25
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a Floating Point Exception in TensorListSplit with XLA. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-647v-r7qq-24fh | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/728113a3be690facad6ce436660a0bc1858017fa | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.11.1 |
|
|
|||
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cve-2022-35973
Vulnerability from cvelistv5
Published
2022-09-16 21:00
Modified
2024-08-03 09:51
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. If `QuantizedMatMul` is given nonscalar input for: `min_a`, `max_a`, `min_b`, or `max_b` It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-689c-r7h2-fv9v | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/aca766ac7693bf29ed0df55ad6bfcc78f35e7f48 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.7.2 Version: >= 2.8.0, < 2.8.1 Version: >= 2.9.0, < 2.9.1 |
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cve-2021-37684
Vulnerability from cvelistv5
Published
2021-08-12 22:30
Modified
2024-08-04 01:23
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0. We have patched the issue in GitHub commit [dfa22b348b70bb89d6d6ec0ff53973bacb4f4695](https://github.com/tensorflow/tensorflow/commit/dfa22b348b70bb89d6d6ec0ff53973bacb4f4695). The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q7f7-544h-67h9 | x_refsource_CONFIRM |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: >= 2.5.0, < 2.5.1 Version: >= 2.4.0, < 2.4.3 Version: < 2.3.4 |
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cve-2021-37676
Vulnerability from cvelistv5
Published
2021-08-12 21:40
Modified
2024-08-04 01:23
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in `tf.raw_ops.SparseFillEmptyRows`. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/sparse_ops.cc#L608-L634) does not validate that the input arguments are not empty tensors. We have patched the issue in GitHub commit 578e634b4f1c1c684d4b4294f9e5281b2133b3ed. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v768-w7m9-2vmm | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/578e634b4f1c1c684d4b4294f9e5281b2133b3ed | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: >= 2.5.0, < 2.5.1 Version: >= 2.4.0, < 2.4.3 Version: < 2.3.4 |
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cve-2022-35990
Vulnerability from cvelistv5
Published
2022-09-16 22:00
Modified
2024-08-03 09:51
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient` receives input `min` or `max` of rank other than 1, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.There are no known workarounds for this issue.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h7ff-cfc9-wmmh | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/f3cf67ac5705f4f04721d15e485e192bb319feed | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.7.2 Version: >= 2.8.0, < 2.8.1 Version: >= 2.9.0, < 2.9.1 |
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cve-2023-25675
Vulnerability from cvelistv5
Published
2023-03-24 23:11
Modified
2024-08-02 11:25
Severity ?
EPSS score ?
Summary
TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, `tf.raw_ops.Bincount` segfaults when given a parameter `weights` that is neither the same shape as parameter `arr` nor a length-0 tensor. A fix is included in TensorFlow 2.12.0 and 2.11.1.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7x4v-9gxg-9hwj | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/8ae76cf085f4be26295d2ecf2081e759e04b8acf | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.11.1 |
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cve-2021-29617
Vulnerability from cvelistv5
Published
2021-05-14 19:25
Modified
2024-08-03 22:11
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via `CHECK`-fail in `tf.strings.substr` with invalid arguments. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mmq6-q8r3-48fm | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/890f7164b70354c57d40eda52dcdd7658677c09f | x_refsource_MISC | |
| https://github.com/tensorflow/issues/46900 | x_refsource_MISC | |
| https://github.com/tensorflow/issues/46974 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.1.4 Version: >= 2.2.0, < 2.2.3 Version: >= 2.3.0, < 2.3.3 Version: >= 2.4.0, < 2.4.2 |
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cve-2022-41911
Vulnerability from cvelistv5
Published
2022-11-18 00:00
Modified
2024-08-03 12:56
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. When printing a tensor, we get it's data as a `const char*` array (since that's the underlying storage) and then we typecast it to the element type. However, conversions from `char` to `bool` are undefined if the `char` is not `0` or `1`, so sanitizers/fuzzers will crash. The issue has been patched in GitHub commit `1be74370327`. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1, TensorFlow 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: >= 2.10.0, < 2.10.1 Version: >= 2.9.0, < 2.9.3 Version: < 2.8.4 |
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cve-2021-29560
Vulnerability from cvelistv5
Published
2021-05-14 19:17
Modified
2024-08-03 22:11
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `tf.raw_ops.RaggedTensorToTensor`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/d94227d43aa125ad8b54115c03cece54f6a1977b/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L219-L222) uses the same index to access two arrays in parallel. Since the user controls the shape of the input arguments, an attacker could trigger a heap OOB access when `parent_output_index` is shorter than `row_split`. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8gv3-57p6-g35r | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/a84358aa12f0b1518e606095ab9cfddbf597c121 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.1.4 Version: >= 2.2.0, < 2.2.3 Version: >= 2.3.0, < 2.3.3 Version: >= 2.4.0, < 2.4.2 |
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cve-2021-29599
Vulnerability from cvelistv5
Published
2021-05-14 19:21
Modified
2024-08-03 22:11
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `Split` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/e2752089ef7ce9bcf3db0ec618ebd23ea119d0c7/tensorflow/lite/kernels/split.cc#L63-L65). An attacker can craft a model such that `num_splits` would be 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-97wf-p777-86jq | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/b22786e7e9b7bdb6a56936ff29cc7e9968d7bc1d | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.1.4 Version: >= 2.2.0, < 2.2.3 Version: >= 2.3.0, < 2.3.3 Version: >= 2.4.0, < 2.4.2 |
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cve-2020-15192
Vulnerability from cvelistv5
Published
2020-09-25 18:40
Modified
2024-08-04 13:08
Severity ?
EPSS score ?
Summary
In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes a list of strings to `dlpack.to_dlpack` there is a memory leak following an expected validation failure. The issue occurs because the `status` argument during validation failures is not properly checked. Since each of the above methods can return an error status, the `status` value must be checked before continuing. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 | x_refsource_MISC | |
| https://github.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8 | x_refsource_MISC | |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fxw-76px-3rxv | x_refsource_CONFIRM | |
| http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html | vendor-advisory, x_refsource_SUSE |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: = 2.2.0 Version: = 2.3.0 |
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cve-2021-29579
Vulnerability from cvelistv5
Published
2021-05-14 19:15
Modified
2024-08-03 22:11
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/ab1e644b48c82cb71493f4362b4dd38f4577a1cf/tensorflow/core/kernels/maxpooling_op.cc#L194-L203) fails to validate that indices used to access elements of input/output arrays are valid. Whereas accesses to `input_backprop_flat` are guarded by `FastBoundsCheck`, the indexing in `out_backprop_flat` can result in OOB access. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-79fv-9865-4qcv | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/a74768f8e4efbda4def9f16ee7e13cf3922ac5f7 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.1.4 Version: >= 2.2.0, < 2.2.3 Version: >= 2.3.0, < 2.3.3 Version: >= 2.4.0, < 2.4.2 |
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cve-2022-41884
Vulnerability from cvelistv5
Published
2022-11-18 00:00
Modified
2024-08-03 12:56
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: >= 2.10.0, < 2.10.1 Version: >= 2.9.0, < 2.9.3 Version: < 2.8.4 |
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cve-2022-41901
Vulnerability from cvelistv5
Published
2022-11-18 00:00
Modified
2024-08-03 12:56
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. An input `sparse_matrix` that is not a matrix with a shape with rank 0 will trigger a `CHECK` fail in `tf.raw_ops.SparseMatrixNNZ`. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
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cve-2021-41226
Vulnerability from cvelistv5
Published
2021-11-05 20:20
Modified
2024-08-04 03:08
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SparseBinCount` is vulnerable to a heap OOB access. This is because of missing validation between the elements of the `values` argument and the shape of the sparse output. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-374m-jm66-3vj8 | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/f410212e373eb2aec4c9e60bf3702eba99a38aba | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
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cve-2021-37664
Vulnerability from cvelistv5
Published
2021-08-12 20:25
Modified
2024-08-04 01:23
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `BoostedTreesSparseCalculateBestFeatureSplit`. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/stats_ops.cc) needs to validate that each value in `stats_summary_indices` is in range. We have patched the issue in GitHub commit e84c975313e8e8e38bb2ea118196369c45c51378. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r4c4-5fpq-56wg | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/e84c975313e8e8e38bb2ea118196369c45c51378 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
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cve-2022-35971
Vulnerability from cvelistv5
Published
2022-09-16 20:50
Modified
2024-08-03 09:51
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. If `FakeQuantWithMinMaxVars` is given `min` or `max` tensors of a nonzero rank, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/commit/785d67a78a1d533759fcd2f5e8d6ef778de849e0 | x_refsource_MISC | |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9fpg-838v-wpv7 | x_refsource_CONFIRM |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.7.2 Version: >= 2.8.0, < 2.8.1 Version: >= 2.9.0, < 2.9.1 |
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cve-2021-29552
Vulnerability from cvelistv5
Published
2021-05-14 19:10
Modified
2024-08-03 22:11
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by controlling the values of `num_segments` tensor argument for `UnsortedSegmentJoin`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/a2a607db15c7cd01d754d37e5448d72a13491bdb/tensorflow/core/kernels/unsorted_segment_join_op.cc#L92-L93) assumes that the `num_segments` tensor is a valid scalar. Since the tensor is empty the `CHECK` involved in `.scalar<T>()()` that checks that the number of elements is exactly 1 will be invalidated and this would result in process termination. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jhq9-wm9m-cf89 | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/704866eabe03a9aeda044ec91a8d0c83fc1ebdbe | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.1.4 Version: >= 2.2.0, < 2.2.3 Version: >= 2.3.0, < 2.3.3 Version: >= 2.4.0, < 2.4.2 |
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cve-2022-36001
Vulnerability from cvelistv5
Published
2022-09-16 22:10
Modified
2024-08-03 09:51
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. When `DrawBoundingBoxes` receives an input `boxes` that is not of dtype `float`, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit da0d65cdc1270038e72157ba35bf74b85d9bda11. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jqm7-m5q7-3hm5 | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/da0d65cdc1270038e72157ba35bf74b85d9bda11 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
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cve-2022-23573
Vulnerability from cvelistv5
Published
2022-02-04 22:32
Modified
2024-08-03 03:43
Severity ?
EPSS score ?
Summary
Tensorflow is an Open Source Machine Learning Framework. The implementation of `AssignOp` can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized (to minimize number of allocations), but does not check that the right hand side is also initialized. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
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cve-2021-37670
Vulnerability from cvelistv5
Published
2021-08-12 22:25
Modified
2024-08-04 01:23
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.UpperBound`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/searchsorted_op.cc#L85-L104) does not validate the rank of `sorted_input` argument. A similar issue occurs in `tf.raw_ops.LowerBound`. We have patched the issue in GitHub commit 42459e4273c2e47a3232cc16c4f4fff3b3a35c38. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9697-98pf-4rw7 | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/42459e4273c2e47a3232cc16c4f4fff3b3a35c38 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
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cve-2022-23575
Vulnerability from cvelistv5
Published
2022-02-04 22:32
Modified
2024-08-03 03:43
Severity ?
EPSS score ?
Summary
Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateTensorSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve a tensor with large enough number of elements. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
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cve-2022-35968
Vulnerability from cvelistv5
Published
2022-09-16 20:40
Modified
2024-08-03 09:51
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. The implementation of `AvgPoolGrad` does not fully validate the input `orig_input_shape`. This results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 3a6ac52664c6c095aa2b114e742b0aa17fdce78f. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/commit/3a6ac52664c6c095aa2b114e742b0aa17fdce78f | x_refsource_MISC | |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2475-53vw-vp25 | x_refsource_CONFIRM |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.7.2 Version: >= 2.8.0, < 2.8.1 Version: >= 2.9.0, < 2.9.1 |
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cve-2022-41898
Vulnerability from cvelistv5
Published
2022-11-18 00:00
Modified
2024-08-03 12:56
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. If `SparseFillEmptyRowsGrad` is given empty inputs, TensorFlow will crash. We have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: >= 2.10.0, < 2.10.1 Version: >= 2.9.0, < 2.9.3 Version: < 2.8.4 |
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cve-2022-41894
Vulnerability from cvelistv5
Published
2022-11-18 00:00
Modified
2024-08-03 12:56
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. The reference kernel of the `CONV_3D_TRANSPOSE` TensorFlow Lite operator wrongly increments the data_ptr when adding the bias to the result. Instead of `data_ptr += num_channels;` it should be `data_ptr += output_num_channels;` as if the number of input channels is different than the number of output channels, the wrong result will be returned and a buffer overflow will occur if num_channels > output_num_channels. An attacker can craft a model with a specific number of input channels. It is then possible to write specific values through the bias of the layer outside the bounds of the buffer. This attack only works if the reference kernel resolver is used in the interpreter. We have patched the issue in GitHub commit 72c0bdcb25305b0b36842d746cc61d72658d2941. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: >= 2.10.0, < 2.10.1 Version: >= 2.9.0, < 2.9.3 Version: < 2.8.4 |
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cve-2022-35960
Vulnerability from cvelistv5
Published
2022-09-16 20:00
Modified
2024-08-03 09:51
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. In `core/kernels/list_kernels.cc's TensorListReserve`, `num_elements` is assumed to be a tensor of size 1. When a `num_elements` of more than 1 element is provided, then `tf.raw_ops.TensorListReserve` fails the `CHECK_EQ` in `CheckIsAlignedAndSingleElement`. We have patched the issue in GitHub commit b5f6fbfba76576202b72119897561e3bd4f179c7. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.7.2 Version: >= 2.8.0, < 2.8.1 Version: >= 2.9.0, < 2.9.1 |
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cve-2022-23558
Vulnerability from cvelistv5
Published
2022-02-04 22:32
Modified
2024-08-03 03:43
Severity ?
EPSS score ?
Summary
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: >= 2.7.0, < 2.7.1 Version: >= 2.6.0, < 2.6.3 Version: < 2.5.3 |
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cve-2021-29576
Vulnerability from cvelistv5
Published
2021-05-14 19:16
Modified
2024-08-03 22:11
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPool3DGradGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/596c05a159b6fbb9e39ca10b3f7753b7244fa1e9/tensorflow/core/kernels/pooling_ops_3d.cc#L694-L696) does not check that the initialization of `Pool3dParameters` completes successfully. Since the constructor(https://github.com/tensorflow/tensorflow/blob/596c05a159b6fbb9e39ca10b3f7753b7244fa1e9/tensorflow/core/kernels/pooling_ops_3d.cc#L48-L88) uses `OP_REQUIRES` to validate conditions, the first assertion that fails interrupts the initialization of `params`, making it contain invalid data. In turn, this might cause a heap buffer overflow, depending on default initialized values. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7cqx-92hp-x6wh | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/63c6a29d0f2d692b247f7bf81f8732d6442fad09 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.1.4 Version: >= 2.2.0, < 2.2.3 Version: >= 2.3.0, < 2.3.3 Version: >= 2.4.0, < 2.4.2 |
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cve-2020-26267
Vulnerability from cvelistv5
Published
2020-12-10 22:10
Modified
2024-08-04 15:56
Severity ?
EPSS score ?
Summary
In affected versions of TensorFlow the tf.raw_ops.DataFormatVecPermute API does not validate the src_format and dst_format attributes. The code assumes that these two arguments define a permutation of NHWC. This can result in uninitialized memory accesses, read outside of bounds and even crashes. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c9f3-9wfr-wgh7 | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/ebc70b7a592420d3d2f359e4b1694c236b82c7ae | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 1.15.5 Version: >= 2.0.0, < 2.0.4 Version: >= 2.1.0, < 2.1.3 Version: >= 2.2.0, < 2.2.2 Version: >= 2.3.0, < 2.3.2 |
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cve-2022-29191
Vulnerability from cvelistv5
Published
2022-05-20 20:50
Modified
2024-08-03 06:17
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.GetSessionTensor` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.6.4 Version: >= 2.7.0rc0, < 2.7.2 Version: >= 2.8.0rc0, < 2.8.1 Version: >= 2.9.0rc0, < 2.9.0 |
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cve-2021-37643
Vulnerability from cvelistv5
Published
2021-08-12 18:10
Modified
2024-08-04 01:23
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. If a user does not provide a valid padding value to `tf.raw_ops.MatrixDiagPartOp`, then the code triggers a null pointer dereference (if input is empty) or produces invalid behavior, ignoring all values after the first. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/linalg/matrix_diag_op.cc#L89) reads the first value from a tensor buffer without first checking that the tensor has values to read from. We have patched the issue in GitHub commit 482da92095c4d48f8784b1f00dda4f81c28d2988. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fcwc-p4fc-c5cc | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/482da92095c4d48f8784b1f00dda4f81c28d2988 | x_refsource_MISC |
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| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
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cve-2021-37637
Vulnerability from cvelistv5
Published
2021-08-12 18:15
Modified
2024-08-04 01:23
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. It is possible to trigger a null pointer dereference in TensorFlow by passing an invalid input to `tf.raw_ops.CompressElement`. The [implementation](https://github.com/tensorflow/tensorflow/blob/47a06f40411a69c99f381495f490536972152ac0/tensorflow/core/data/compression_utils.cc#L34) was accessing the size of a buffer obtained from the return of a separate function call before validating that said buffer is valid. We have patched the issue in GitHub commit 5dc7f6981fdaf74c8c5be41f393df705841fb7c5. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c9qf-r67m-p7cg | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/5dc7f6981fdaf74c8c5be41f393df705841fb7c5 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
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cve-2021-37668
Vulnerability from cvelistv5
Published
2021-08-12 22:30
Modified
2024-08-04 01:23
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using `tf.raw_ops.UnravelIndex` by triggering a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/unravel_index_op.cc#L36) does not check that the tensor subsumed by `dims` is not empty. Hence, if one element of `dims` is 0, the implementation does a division by 0. We have patched the issue in GitHub commit a776040a5e7ebf76eeb7eb923bf1ae417dd4d233. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2wmv-37vq-52g5 | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/a776040a5e7ebf76eeb7eb923bf1ae417dd4d233 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
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cve-2021-29602
Vulnerability from cvelistv5
Published
2021-05-14 19:21
Modified
2024-08-03 22:11
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `DepthwiseConv` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/depthwise_conv.cc#L287-L288). An attacker can craft a model such that `input`'s fourth dimension would be 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rf3h-xgv5-2q39 | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/cbda3c6b2dbbd3fbdc482ff8c0170a78ec2e97d0 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.1.4 Version: >= 2.2.0, < 2.2.3 Version: >= 2.3.0, < 2.3.3 Version: >= 2.4.0, < 2.4.2 |
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cve-2021-29527
Vulnerability from cvelistv5
Published
2021-05-14 19:12
Modified
2024-08-03 22:11
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.QuantizedConv2D`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/00e9a4d67d76703fa1aee33dac582acf317e0e81/tensorflow/core/kernels/quantized_conv_ops.cc#L257-L259) does a division by a quantity that is controlled by the caller. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x4g7-fvjj-prg8 | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/cfa91be9863a91d5105a3b4941096044ab32036b | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.1.4 Version: >= 2.2.0, < 2.2.3 Version: >= 2.3.0, < 2.3.3 Version: >= 2.4.0, < 2.4.2 |
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cve-2022-23561
Vulnerability from cvelistv5
Published
2022-02-04 22:32
Modified
2024-08-03 03:43
Severity ?
EPSS score ?
Summary
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c78-vcq7-7vxq | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/6c0b2b70eeee588591680f5b7d5d38175fd7cdf6 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: >= 2.7.0, < 2.7.1 Version: >= 2.6.0, < 2.6.3 Version: < 2.5.3 |
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cve-2022-23572
Vulnerability from cvelistv5
Published
2022-02-04 22:32
Modified
2024-08-03 03:43
Severity ?
EPSS score ?
Summary
Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the `DCHECK` function however, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the `ValueOrDie` line. This results in an assertion failure as `ret` contains an error `Status`, not a value. In the second case we also get a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.
References
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cve-2022-36017
Vulnerability from cvelistv5
Published
2022-09-16 22:50
Modified
2024-08-03 09:51
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. If `Requantize` is given `input_min`, `input_max`, `requested_output_min`, `requested_output_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
References
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|---|---|---|
| https://github.com/tensorflow/tensorflow/commit/785d67a78a1d533759fcd2f5e8d6ef778de849e0 | x_refsource_MISC | |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wqmc-pm8c-2jhc | x_refsource_CONFIRM |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
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cve-2022-29206
Vulnerability from cvelistv5
Published
2022-05-20 22:15
Modified
2024-08-03 06:17
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.SparseTensorDenseAdd` does not fully validate the input arguments. In this case, a reference gets bound to a `nullptr` during kernel execution. This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.6.4 Version: >= 2.7.0rc0, < 2.7.2 Version: >= 2.8.0rc0, < 2.8.1 Version: >= 2.9.0rc0, < 2.9.0 |
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cve-2021-41213
Vulnerability from cvelistv5
Published
2021-11-05 22:10
Modified
2024-08-04 03:08
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. In affected versions the code behind `tf.function` API can be made to deadlock when two `tf.function` decorated Python functions are mutually recursive. This occurs due to using a non-reentrant `Lock` Python object. Loading any model which contains mutually recursive functions is vulnerable. An attacker can cause denial of service by causing users to load such models and calling a recursive `tf.function`, although this is not a frequent scenario. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h67m-xg8f-fxcf | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/afac8158d43691661ad083f6dd9e56f327c1dcb7 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
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cve-2021-37674
Vulnerability from cvelistv5
Published
2021-08-12 22:40
Modified
2024-08-04 01:23
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in `tf.raw_ops.MaxPoolGrad` caused by missing validation. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/maxpooling_op.cc) misses some validation for the `orig_input` and `orig_output` tensors. The fixes for CVE-2021-29579 were incomplete. We have patched the issue in GitHub commit 136b51f10903e044308cf77117c0ed9871350475. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
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cve-2022-35982
Vulnerability from cvelistv5
Published
2022-09-16 21:30
Modified
2024-08-03 09:51
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. If `SparseBincount` is given inputs for `indices`, `values`, and `dense_shape` that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-397c-5g2j-qxpv | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/40adbe4dd15b582b0210dfbf40c243a62f5119fa | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.7.2 Version: >= 2.8.0, < 2.8.1 Version: >= 2.9.0, < 2.9.1 |
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cve-2021-29601
Vulnerability from cvelistv5
Published
2021-05-14 19:21
Modified
2024-08-03 22:11
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of concatenation is vulnerable to an integer overflow issue(https://github.com/tensorflow/tensorflow/blob/7b7352a724b690b11bfaae2cd54bc3907daf6285/tensorflow/lite/kernels/concatenation.cc#L70-L76). An attacker can craft a model such that the dimensions of one of the concatenation input overflow the values of `int`. TFLite uses `int` to represent tensor dimensions, whereas TF uses `int64`. Hence, valid TF models can trigger an integer overflow when converted to TFLite format. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c84-4hx6-xmm4 | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/4253f96a58486ffe84b61c0415bb234a4632ee73 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.1.4 Version: >= 2.2.0, < 2.2.3 Version: >= 2.3.0, < 2.3.3 Version: >= 2.4.0, < 2.4.2 |
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cve-2021-29612
Vulnerability from cvelistv5
Published
2021-05-14 19:20
Modified
2024-08-03 22:11
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a heap buffer overflow in Eigen implementation of `tf.raw_ops.BandedTriangularSolve`. The implementation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/linalg/banded_triangular_solve_op.cc#L269-L278) calls `ValidateInputTensors` for input validation but fails to validate that the two tensors are not empty. Furthermore, since `OP_REQUIRES` macro only stops execution of current function after setting `ctx->status()` to a non-OK value, callers of helper functions that use `OP_REQUIRES` must check value of `ctx->status()` before continuing. This doesn't happen in this op's implementation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/linalg/banded_triangular_solve_op.cc#L219), hence the validation that is present is also not effective. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.1.4 Version: >= 2.2.0, < 2.2.3 Version: >= 2.3.0, < 2.3.3 Version: >= 2.4.0, < 2.4.2 |
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cve-2021-41204
Vulnerability from cvelistv5
Published
2021-11-05 20:45
Modified
2024-08-04 03:08
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. In affected versions during TensorFlow's Grappler optimizer phase, constant folding might attempt to deep copy a resource tensor. This results in a segfault, as these tensors are supposed to not change. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-786j-5qwq-r36x | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/7731e8dfbe4a56773be5dc94d631611211156659 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: >= 2.6.0, < 2.6.1 Version: >= 2.5.0, < 2.5.1 Version: < 2.4.4 |
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cve-2023-27579
Vulnerability from cvelistv5
Published
2023-03-24 23:05
Modified
2024-08-02 12:16
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. This issue has been patched in version 2.12. TensorFlow will also cherrypick the fix commit on TensorFlow 2.11.1.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5w96-866f-6rm8 | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/34f8368c535253f5c9cb3a303297743b62442aaa | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.11.1 |
|
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cve-2021-29593
Vulnerability from cvelistv5
Published
2021-05-14 19:22
Modified
2024-08-03 22:11
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `BatchToSpaceNd` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/b5ed552fe55895aee8bd8b191f744a069957d18d/tensorflow/lite/kernels/batch_to_space_nd.cc#L81-L82). An attacker can craft a model such that one dimension of the `block` input is 0. Hence, the corresponding value in `block_shape` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cfx7-2xpc-8w4h | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/2c74674348a4708ced58ad6eb1b23354df8ee044 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.1.4 Version: >= 2.2.0, < 2.2.3 Version: >= 2.3.0, < 2.3.3 Version: >= 2.4.0, < 2.4.2 |
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cve-2020-15196
Vulnerability from cvelistv5
Published
2020-09-25 18:40
Modified
2024-08-04 13:08
Severity ?
EPSS score ?
Summary
In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 | x_refsource_MISC | |
| https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02 | x_refsource_MISC | |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pg59-2f92-5cph | x_refsource_CONFIRM |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: = 2.3.0 |
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cve-2022-23563
Vulnerability from cvelistv5
Published
2022-02-04 22:32
Modified
2024-08-03 03:43
Severity ?
EPSS score ?
Summary
Tensorflow is an Open Source Machine Learning Framework. In multiple places, TensorFlow uses `tempfile.mktemp` to create temporary files. While this is acceptable in testing, in utilities and libraries it is dangerous as a different process can create the file between the check for the filename in `mktemp` and the actual creation of the file by a subsequent operation (a TOC/TOU type of weakness). In several instances, TensorFlow was supposed to actually create a temporary directory instead of a file. This logic bug is hidden away by the `mktemp` function usage. We have patched the issue in several commits, replacing `mktemp` with the safer `mkstemp`/`mkdtemp` functions, according to the usage pattern. Users are advised to upgrade as soon as possible.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wc4g-r73w-x8mm | x_refsource_CONFIRM |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: >= 2.7.0, < 2.7.1 Version: >= 2.6.0, < 2.6.3 Version: < 2.5.3 |
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cve-2021-37681
Vulnerability from cvelistv5
Published
2021-08-12 22:00
Modified
2024-08-04 01:23
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of SVDF in TFLite is [vulnerable to a null pointer error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/svdf.cc#L300-L313). The [`GetVariableInput` function](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/kernel_util.cc#L115-L119) can return a null pointer but `GetTensorData` assumes that the argument is always a valid tensor. Furthermore, because `GetVariableInput` calls [`GetMutableInput`](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/kernel_util.cc#L82-L90) which might return `nullptr`, the `tensor->is_variable` expression can also trigger a null pointer exception. We have patched the issue in GitHub commit 5b048e87e4e55990dae6b547add4dae59f4e1c76. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7xwj-5r4v-429p | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/5b048e87e4e55990dae6b547add4dae59f4e1c76 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: >= 2.5.0, < 2.5.1 Version: >= 2.4.0, < 2.4.3 Version: < 2.3.4 |
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cve-2022-35938
Vulnerability from cvelistv5
Published
2022-09-16 19:35
Modified
2024-08-03 09:51
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. The `GatherNd` function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. This issue has been patched in GitHub commit 4142e47e9e31db481781b955ed3ff807a781b494. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.7.2 Version: >= 2.8.0, < 2.8.1 Version: >= 2.9.0, < 2.9.1 |
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cve-2021-41218
Vulnerability from cvelistv5
Published
2021-11-05 22:05
Modified
2024-08-04 03:08
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `AllToAll` can be made to execute a division by 0. This occurs whenever the `split_count` argument is 0. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9crf-c6qr-r273 | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/a8ad3e5e79c75f36edb81e0ba3f3c0c5442aeddc | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: >= 2.6.0, < 2.6.1 Version: >= 2.5.0, < 2.5.2 Version: < 2.4.4 |
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cve-2021-41201
Vulnerability from cvelistv5
Published
2021-11-05 20:05
Modified
2024-08-04 03:08
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. In affeced versions during execution, `EinsumHelper::ParseEquation()` is supposed to set the flags in `input_has_ellipsis` vector and `*output_has_ellipsis` boolean to indicate whether there is ellipsis in the corresponding inputs and output. However, the code only changes these flags to `true` and never assigns `false`. This results in unitialized variable access if callers assume that `EinsumHelper::ParseEquation()` always sets these flags. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j86v-p27c-73fm | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/f09caa532b6e1ac8d2aa61b7832c78c5b79300c6 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
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|
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cve-2021-41227
Vulnerability from cvelistv5
Published
2021-11-05 22:30
Modified
2024-08-04 03:08
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. In affected versions the `ImmutableConst` operation in TensorFlow can be tricked into reading arbitrary memory contents. This is because the `tstring` TensorFlow string class has a special case for memory mapped strings but the operation itself does not offer any support for this datatype. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
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cve-2022-41880
Vulnerability from cvelistv5
Published
2022-11-18 00:00
Modified
2024-08-03 12:56
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. When the `BaseCandidateSamplerOp` function receives a value in `true_classes` larger than `range_max`, a heap oob read occurs. We have patched the issue in GitHub commit b389f5c944cadfdfe599b3f1e4026e036f30d2d4. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
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cve-2022-36018
Vulnerability from cvelistv5
Published
2022-09-16 22:05
Modified
2024-08-03 09:51
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. If `RaggedTensorToVariant` is given a `rt_nested_splits` list that contains tensors of ranks other than one, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 88f93dfe691563baa4ae1e80ccde2d5c7a143821. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m6cv-4fmf-66xf | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/88f93dfe691563baa4ae1e80ccde2d5c7a143821 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.7.2 Version: >= 2.8.0, < 2.8.1 Version: >= 2.9.0, < 2.9.1 |
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cve-2022-23557
Vulnerability from cvelistv5
Published
2022-02-04 22:32
Modified
2024-08-03 03:43
Severity ?
EPSS score ?
Summary
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would trigger a division by zero in `BiasAndClamp` implementation. There is no check that the `bias_size` is non zero. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
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cve-2022-41885
Vulnerability from cvelistv5
Published
2022-11-18 00:00
Modified
2024-08-03 12:56
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. When `tf.raw_ops.FusedResizeAndPadConv2D` is given a large tensor shape, it overflows. We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
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cve-2021-41198
Vulnerability from cvelistv5
Published
2021-11-05 19:55
Modified
2024-08-04 03:08
Severity ?
EPSS score ?
Summary
TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2p25-55c9-h58q | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/issues/46911 | x_refsource_MISC | |
| https://github.com/tensorflow/tensorflow/commit/9294094df6fea79271778eb7e7ae1bad8b5ef98f | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
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cve-2021-29538
Vulnerability from cvelistv5
Published
2021-05-14 19:11
Modified
2024-08-03 22:11
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a division by zero to occur in `Conv2DBackpropFilter`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1b0296c3b8dd9bd948f924aa8cd62f87dbb7c3da/tensorflow/core/kernels/conv_grad_filter_ops.cc#L513-L522) computes a divisor based on user provided data (i.e., the shape of the tensors given as arguments). If all shapes are empty then `work_unit_size` is 0. Since there is no check for this case before division, this results in a runtime exception, with potential to be abused for a denial of service. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/commit/c570e2ecfc822941335ad48f6e10df4e21f11c96 | x_refsource_MISC | |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j8qc-5fqr-52fp | x_refsource_CONFIRM |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.1.4 Version: >= 2.2.0, < 2.2.3 Version: >= 2.3.0, < 2.3.3 Version: >= 2.4.0, < 2.4.2 |
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cve-2021-29554
Vulnerability from cvelistv5
Published
2021-05-14 19:10
Modified
2024-08-03 22:11
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.DenseCountSparseOutput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division. Since `data` is given by the `values` argument, `num_batch_elements` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, and TensorFlow 2.3.3, as these are also affected.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qg48-85hg-mqc5 | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/da5ff2daf618591f64b2b62d9d9803951b945e9f | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.3.3 Version: >= 2.4.0, < 2.4.2 |
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cve-2021-29545
Vulnerability from cvelistv5
Published
2021-05-14 19:11
Modified
2024-08-03 22:11
Severity ?
EPSS score ?
Summary
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in converting sparse tensors to CSR Sparse matrices. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/800346f2c03a27e182dd4fba48295f65e7790739/tensorflow/core/kernels/sparse/kernels.cc#L66) does a double redirection to access an element of an array allocated on the heap. If the value at `indices(i, 0)` is such that `indices(i, 0) + 1` is outside the bounds of `csr_row_ptr`, this results in writing outside of bounds of heap allocated data. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hmg3-c7xj-6qwm | x_refsource_CONFIRM | |
| https://github.com/tensorflow/tensorflow/commit/1e922ccdf6bf46a3a52641f99fd47d54c1decd13 | x_refsource_MISC |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.1.4 Version: >= 2.2.0, < 2.2.3 Version: >= 2.3.0, < 2.3.3 Version: >= 2.4.0, < 2.4.2 |
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