GHSA-374m-jm66-3vj8
Vulnerability from github
6.9 (Medium) - CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N
Impact
The implementation of SparseBinCount
is vulnerable to a heap OOB:
```python import tensorflow as tf
tf.raw_ops.SparseBincount( indices=[[0],[1],[2]] values=[0,-10000000] dense_shape=[1,1] size=[1] weights=[3,2,1] binary_output=False) ```
This is because of missing validation between the elements of the values
argument and the shape of the sparse output:
cc
for (int64_t i = 0; i < indices_mat.dimension(0); ++i) {
const int64_t batch = indices_mat(i, 0);
const Tidx bin = values(i);
...
out(batch, bin) = ...;
}
Patches
We have patched the issue in GitHub commit f410212e373eb2aec4c9e60bf3702eba99a38aba.
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.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by members of the Aivul Team from Qihoo 360.
{ "affected": [ { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "events": [ { "introduced": "2.6.0" }, { "fixed": "2.6.1" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "events": [ { "introduced": "2.5.0" }, { "fixed": "2.5.2" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "2.4.4" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "events": [ { "introduced": "2.6.0" }, { "fixed": "2.6.1" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "events": [ { "introduced": "2.5.0" }, { "fixed": "2.5.2" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "2.4.4" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "events": [ { "introduced": "2.6.0" }, { "fixed": "2.6.1" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "events": [ { "introduced": "2.5.0" }, { "fixed": "2.5.2" } ], "type": "ECOSYSTEM" } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "2.4.4" } ], "type": "ECOSYSTEM" } ] } ], "aliases": [ "CVE-2021-41226" ], "database_specific": { "cwe_ids": [ "CWE-125" ], "github_reviewed": true, "github_reviewed_at": "2021-11-08T21:49:22Z", "nvd_published_at": "2021-11-05T21:15:00Z", "severity": "MODERATE" }, "details": "### Impact\nThe [implementation](https://github.com/tensorflow/tensorflow/blob/e71b86d47f8bc1816bf54d7bddc4170e47670b97/tensorflow/core/kernels/bincount_op.cc#L353-L417) of `SparseBinCount` is vulnerable to a heap OOB:\n\n```python\nimport tensorflow as tf\n \n \ntf.raw_ops.SparseBincount(\n indices=[[0],[1],[2]]\n values=[0,-10000000]\n dense_shape=[1,1]\n size=[1]\n weights=[3,2,1]\n binary_output=False)\n```\n\nThis is because of missing validation between the elements of the `values` argument and the shape of the sparse output:\n\n\n```cc\nfor (int64_t i = 0; i \u003c indices_mat.dimension(0); ++i) {\n const int64_t batch = indices_mat(i, 0);\n const Tidx bin = values(i);\n ...\n out(batch, bin) = ...;\n}\n```\n\n### Patches\nWe have patched the issue in GitHub commit [f410212e373eb2aec4c9e60bf3702eba99a38aba](https://github.com/tensorflow/tensorflow/commit/f410212e373eb2aec4c9e60bf3702eba99a38aba).\n\nThe 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.\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n\n### Attribution\nThis vulnerability has been reported by members of the Aivul Team from Qihoo 360.", "id": "GHSA-374m-jm66-3vj8", "modified": "2024-11-13T22:05:33Z", "published": "2021-11-10T18:41:47Z", "references": [ { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-374m-jm66-3vj8" }, { "type": "ADVISORY", "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-41226" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/commit/f410212e373eb2aec4c9e60bf3702eba99a38aba" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-635.yaml" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-833.yaml" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-418.yaml" }, { "type": "PACKAGE", "url": "https://github.com/tensorflow/tensorflow" } ], "schema_version": "1.4.0", "severity": [ { "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H", "type": "CVSS_V3" }, { "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N", "type": "CVSS_V4" } ], "summary": "Heap OOB in `SparseBinCount`" }
Sightings
Author | Source | Type | Date |
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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.