by Kastro CVE-2020-15207
tensorflow tensorflow — Segfault and data corruption in tensorflow-lite
Description · from the CVE record
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.
Affected
ProductAffectedFixed inSource
tensorflow< 1.15.4–CNA
tensorflow>= 2.0.0, < 2.0.3–CNA
tensorflow>= 2.1.0, < 2.1.2–CNA
tensorflow>= 2.2.0, < 2.2.1–CNA
tensorflow>= 2.3.0, < 2.3.1–CNA
Scores by source
NVD9.0CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H
GitHub_M (CNA)8.7CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:N/I:H/A:H