In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python’s indexing with negative values, TFLite uses `ResolveAxis` to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the `DCHECK` does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption. The issue is patched in commit 2d88f470dea2671b430884260f3626b1fe99830a, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Source: https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15207
Reference (s):
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q4qf-3fc6-8×34
- URL: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q4qf-3fc6-8×34
- https://github.com/tensorflow/tensorflow/commit/2d88f470dea2671b430884260f3626b1fe99830a
- URL: https://github.com/tensorflow/tensorflow/commit/2d88f470dea2671b430884260f3626b1fe99830a
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1