CVE-2020-15207 (GCVE-0-2020-15207)

Vulnerability from cvelistv5 – Published: 2020-09-25 18:45 – Updated: 2024-08-04 13:08
VLAI?
Title
Segfault and data corruption in tensorflow-lite
Summary
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.
Severity ?
8.7 (High)
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:N/I:H/A:H
CWE
  • CWE-119 - {"CWE-119":"Improper Restriction of Operations within the Bounds of a Memory Buffer"}
Assigner
References
Impacted products
Vendor Product Version
tensorflow tensorflow Affected: < 1.15.4
Affected: >= 2.0.0, < 2.0.3
Affected: >= 2.1.0, < 2.1.2
Affected: >= 2.2.0, < 2.2.1
Affected: >= 2.3.0, < 2.3.1
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  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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