CVE-2020-15207

Segfault and data corruption in tensorflow-lite

State
Published
Severity
8.7 High
Published
Sep 25, 2020
Updated
Aug 4, 2024
Reserved
Jun 25, 2020

Read the record on cve.org

Description

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.

Scores

CVSSScoreVectorSource
3.18.7 HighCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:N/I:H/A:HGitHub_M

Weaknesses

  • CWE-119 {"CWE-119":"Improper Restriction of Operations within the Bounds of a Memory Buffer"}

Affected Products

ProductVersions
tensorflowtensorflow
  • < 1.15.4Affected
  • >= 2.0.0, < 2.0.3Affected
  • >= 2.1.0, < 2.1.2Affected
  • >= 2.2.0, < 2.2.1Affected
  • >= 2.3.0, < 2.3.1Affected

References

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