CVE-2020-15207: Segfault and data corruption in tensorflow-lite

Severity: critical (CVSS 9.0 v3.1)
Exploited in the wild: not listed in CISA KEV
EPSS: 1.2% probability of exploitation in the next 30 days
Public exploit or detection template: yes
Published: 2020-09-25 · updated 2026-06-17
Weakness: CWE-119

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 products

tensorflow: before 1.15.4; from 2.0.0 before 2.0.3; from 2.1.0 before 2.1.2; from 2.2.0 before 2.2.1; from 2.3.0 before 2.3.1 — fixed in 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1
openSUSE Leap: 15.2

How to fix

Upgrade to a fixed version: tensorflow 1.15.4, 2.0.3, 2.1.2, 2.2.1. Check the vendor advisory for mitigations.

References

Get alerted when CVE-2020-15207 or the next vulnerability affects your stack