CVE-2021-41203Insufficient Verification of Data Authenticity in Tensorflow

Severity
7.8HIGHNVD
EPSS
0.0%
top 95.19%
CISA KEV
Not in KEV
Exploit
No known exploits
Timeline
PublishedNov 5
Latest updateNov 10

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 the

CVSS vector

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HExploitability: 1.8 | Impact: 5.9

Affected Packages3 packages

NVDgoogle/tensorflow2.5.02.5.2+2
CVEListV5tensorflow/tensorflow< 2.4.4+2
PyPIintel/optimization_for_tensorflow2.6.02.6.1+7

Patches

🔴Vulnerability Details

4
OSV
Missing validation during checkpoint loading2021-11-10
GHSA
Missing validation during checkpoint loading2021-11-10
CVEList
Missing validation during checkpoint loading2021-11-05
OSV
CVE-2021-41203: TensorFlow is an open source platform for machine learning2021-11-05

📋Vendor Advisories

1
Debian
CVE-2021-41203: tensorflow - TensorFlow is an open source platform for machine learning. In affected versions...2021
CVE-2021-41203 — Tensorflow vulnerability | cvebase