CVE-2022-21727: Integer Overflow or Wraparound
(updated )
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for Dequantize
is vulnerable to an integer overflow weakness. The axis
argument can be -1
or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes axis + 1
, an attacker can trigger an integer overflow. 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
- github.com/advisories/GHSA-c6fh-56w7-fvjw
- github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/ops/array_ops.cc
- github.com/tensorflow/tensorflow/commit/b64638ec5ccaa77b7c1eb90958e3d85ce381f91b
- github.com/tensorflow/tensorflow/security/advisories/GHSA-c6fh-56w7-fvjw
- nvd.nist.gov/vuln/detail/CVE-2022-21727
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