7.8
CVSSv3

CVE-2021-41203

Published: 05/11/2021 Updated: 20/10/2022
CVSS v2 Base Score: 4.6 | Impact Score: 6.4 | Exploitability Score: 3.9
CVSS v3 Base Score: 7.8 | Impact Score: 5.9 | Exploitability Score: 1.8
VMScore: 409
Vector: AV:L/AC:L/Au:N/C:P/I:P/A:P

Vulnerability Summary

TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behavior, integer overflows, segfaults and `CHECK`-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints loading infrastructure is missing validation for invalid file formats. The fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Vulnerability Trend

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google tensorflow

Vendor Advisories

In TensorFlow before version 261, an attacker can trigger undefined behavior, integer overflows, segfaults and CHECK-fail crashes if they can change saved checkpoints from outside of TensorFlow This is because the checkpoints loading infrastructure is missing validation for invalid file formats ...