CVEvulnerability

CVE-2021-41203

7.8 HIGH Published 2021-11-05 Modified 2026-06-17 Official page ↗
Status
Modified
Published
2021-11-05
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
7.8 HIGH — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CVSS 3.1 ([email protected])
7.8 HIGH — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CVSS 2.0 ([email protected])
4.6 MEDIUM — AV:L/AC:L/Au:N/C:P/I:P/A:P
Weaknesses
CWE-190, CWE-345

Description

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.

Affected configurations

• google tensorflow (< 2.4.4) • google tensorflow (>= 2.5.0 < 2.5.2) • google tensorflow (>= 2.6.0 < 2.6.1)

Related

Weakness · CWE (2)

  • CWE-190 Integer Overflow or Wraparound weakness
  • CWE-345 Insufficient Verification of Data Authenticity weakness

References