pysec-2021-216
Vulnerability from pysec
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.
{ "affected": [ { "package": { "ecosystem": "PyPI", "name": "tensorflow", "purl": "pkg:pypi/tensorflow" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "a74768f8e4efbda4def9f16ee7e13cf3922ac5f7" } ], "repo": "https://github.com/tensorflow/tensorflow", "type": "GIT" }, { "events": [ { "introduced": "0" }, { "fixed": "2.1.4" }, { "introduced": "2.2.0" }, { "fixed": "2.2.3" }, { "introduced": "2.3.0" }, { "fixed": "2.3.3" }, { "introduced": "2.4.0" }, { "fixed": "2.4.2" } ], "type": "ECOSYSTEM" } ], "versions": [ "0.12.0", "0.12.0rc0", "0.12.0rc1", "0.12.1", "1.0.0", "1.0.1", "1.1.0", "1.1.0rc0", "1.1.0rc1", "1.1.0rc2", "1.10.0", "1.10.0rc0", "1.10.0rc1", "1.10.1", "1.11.0", "1.11.0rc0", "1.11.0rc1", "1.11.0rc2", "1.12.0", "1.12.0rc0", "1.12.0rc1", "1.12.0rc2", "1.12.2", "1.12.3", "1.13.0rc0", "1.13.0rc1", "1.13.0rc2", "1.13.1", "1.13.2", "1.14.0", "1.14.0rc0", "1.14.0rc1", "1.15.0", "1.15.0rc0", "1.15.0rc1", "1.15.0rc2", "1.15.0rc3", "1.15.2", "1.15.3", "1.15.4", "1.15.5", "1.2.0", "1.2.0rc0", "1.2.0rc1", "1.2.0rc2", "1.2.1", "1.3.0", "1.3.0rc0", "1.3.0rc1", "1.3.0rc2", "1.4.0", "1.4.0rc0", "1.4.0rc1", "1.4.1", "1.5.0", "1.5.0rc0", "1.5.0rc1", "1.5.1", "1.6.0", "1.6.0rc0", "1.6.0rc1", "1.7.0", "1.7.0rc0", "1.7.0rc1", "1.7.1", "1.8.0", "1.8.0rc0", "1.8.0rc1", "1.9.0", "1.9.0rc0", "1.9.0rc1", "1.9.0rc2", "2.0.0", "2.0.0a0", "2.0.0b0", "2.0.0b1", "2.0.0rc0", "2.0.0rc1", "2.0.0rc2", "2.0.1", "2.0.2", "2.0.3", "2.0.4", "2.1.0", "2.1.0rc0", "2.1.0rc1", "2.1.0rc2", "2.1.1", "2.1.2", "2.1.3", "2.2.0", "2.2.1", "2.2.2", "2.3.0", "2.3.1", "2.3.2", "2.4.0", "2.4.1" ] } ], "aliases": [ "CVE-2021-29579", "GHSA-79fv-9865-4qcv" ], "details": "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.", "id": "PYSEC-2021-216", "modified": "2021-08-27T03:22:35.384566Z", "published": "2021-05-14T20:15:00Z", "references": [ { "type": "ADVISORY", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-79fv-9865-4qcv" }, { "type": "FIX", "url": "https://github.com/tensorflow/tensorflow/commit/a74768f8e4efbda4def9f16ee7e13cf3922ac5f7" } ] }
Sightings
Author | Source | Type | Date |
---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.