critical

CVE-2020-15207

Segfault and data corruption in tensorflow-lite

Published 25 Sep 2020Modified 17 Jun 2026CWE 119, 787

In the Trivy database since at least 24 Oct 2026, 07:11 UTCWhen it arrived before that build is not recorded.

Severity by source

NVD9.0CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H

GHSA6.4CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:N/SC:N/SI:H/SA:H

Bitnami9.1CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H

Trivy's own label is CRITICAL. Rated critical by NVD, Bitnami. Rated lower by GHSA (medium).

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.

Affected packages and fixed versions

Source	Package	Fixed in
bitnami::Bitnami Vulnerability Database	tensorflow	1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1
pip::GitHub Security Advisory pip	tensorflow, tensorflow-cpu, tensorflow-gpu	1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1

Show all 4 entries from 2 sources

Source	Package	Fixed in
bitnami::Bitnami Vulnerability Database	tensorflow	1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1
pip::GitHub Security Advisory pip	tensorflow	1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1
pip::GitHub Security Advisory pip	tensorflow-cpu	1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1
pip::GitHub Security Advisory pip	tensorflow-gpu	1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1

References

All 9 references

https://nvd.nist.gov/vuln/detail/CVE-2020-15207

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