CVE-2021-41203 - CVE House
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Status published High CVE-2021-41203

Missing validation during checkpoint loading

Vulnerability 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.

Impact Analysis

Refer to official advisory for detailed impact metrics.

Remediation

Ensure systems are updated to the latest vendor-supplied patch levels.

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Credits & Attribution

No credits recorded in the NVD database.

References

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Affected Vendor

Affected Software

tensorflow
Vulnerable Versions:
>= 2.6.0, < 2.6.1, >= 2.5.0, < 2.5.2, < 2.4.4

Timeline

Official Publish: November 5th, 2021
Last Modified: August 4th, 2024
Added to House: July 21st, 2026

CVSS Vectors

V3: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Weaknesses (CWE)

CWE-345

MITRE ATT&CK TTPs

T1557 Adversary-in-the-Middle
Credential Access
T1071 Application Layer Protocol
Command and Control
T1552 Unsecured Credentials
Credential Access
T1190 Exploit Public-Facing Application
Initial Access
T1041 Exfiltration Over C2 Channel
Exfiltration