[tensorflow] Tensorflow vulnerable to Out-of-Bounds Read

Impact

When the BaseCandidateSamplerOp function receives a value in true_classes larger than range_max, a heap oob vuln occurs.

tf.raw_ops.ThreadUnsafeUnigramCandidateSampler(
    true_classes=[[0x100000,1]],
    num_true = 2,
    num_sampled = 2,
    unique = False,
    range_max = 2,
    seed = 2,
    seed2 = 2)

Patches

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.

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 Yu Tian of Qihoo 360 AIVul Team.

References

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8w5g-3wcv-9g2j
• https://nvd.nist.gov/vuln/detail/CVE-2022-41880
• https://github.com/tensorflow/tensorflow/commit/b389f5c944cadfdfe599b3f1e4026e036f30d2d4
• https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/candidate_sampler_ops.cc
• https://github.com/advisories/GHSA-8w5g-3wcv-9g2j