CVE-2020-15207: Segfault and data corruption in tensorflow-lite
(updated )
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:
https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/lite/kernels/internal/reference/reduce.h#L68-L72
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.
References
- github.com/advisories/GHSA-q4qf-3fc6-8x34
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-287.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-322.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-130.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/commit/2d88f470dea2671b430884260f3626b1fe99830a
- github.com/tensorflow/tensorflow/releases/tag/v2.3.1
- github.com/tensorflow/tensorflow/security/advisories/GHSA-q4qf-3fc6-8x34
- nvd.nist.gov/vuln/detail/CVE-2020-15207
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