Cyber Resilience

CVE-2023-27579

Google Tensorflow ≤ 2.12.0

Published
25 March 2023
Modified
21 November 2024
Patch / advisory
View advisory
CVSS Score v3.1 7.5
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS Score 0.0039 32th percentile
Risk Priority 57 floored blend · peak EPSS

Summary

CVE-2023-27579 is a high-severity Incorrect Comparison (CWE-697) vulnerability in Google Tensorflow. Its CVSS base score is 7.5 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Obfuscated Files or Information (T1027); ranked at the 32th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

This vulnerability is AI-related — categorised as Deep Learning Frameworks.

EU & UK References

Vulnerability Data

TensorFlow is an end-to-end open source platform for machine learning. Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. This issue has been patched in version 2.12. TensorFlow will also cherrypick the fix commit…

more

on TensorFlow 2.11.1.

CWE(s)
CWE-697

AI Security AnalysisAI

AI Category
Deep Learning Frameworks
Risk Domain
N/A
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Matched keywords: tensorflow, machine learning, tensorflow, tensorflow

Related Threats

MITRE ATT&CK Enterprise Techniques

T1027 Obfuscated Files or Information Stealth
Adversaries may attempt to make an executable or file difficult to discover or analyze by encrypting, encoding, or otherwise obfuscating its contents on the system or in transit.
attack.mitre.org →
T1068 Exploitation for Privilege Escalation Privilege Escalation
Adversaries may exploit software vulnerabilities in an attempt to elevate privileges.
attack.mitre.org →
T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
attack.mitre.org →
T1203 Exploitation for Client Execution Execution
Adversaries may exploit software vulnerabilities in client applications to execute code.
attack.mitre.org →
T1212 Exploitation for Credential Access Credential Access
Adversaries may exploit software vulnerabilities in an attempt to collect credentials.
attack.mitre.org →
T1548 Abuse Elevation Control Mechanism Privilege Escalation
Adversaries may circumvent mechanisms designed to control privilege elevation to gain higher-level permissions.
attack.mitre.org →
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-25673Same product: Google Tensorflow
CVE-2023-25666Same product: Google Tensorflow
CVE-2023-25675Same product: Google Tensorflow
CVE-2023-25669Same product: Google Tensorflow
CVE-2023-25801Same product: Google Tensorflow
CVE-2023-25664Same product: Google Tensorflow
CVE-2023-25668Same product: Google Tensorflow
CVE-2023-25659Same product: Google Tensorflow
CVE-2023-25658Same product: Google Tensorflow
CVE-2023-25671Same product: Google Tensorflow

Affected Assets

google
tensorflow
≤ 2.12.0

Mitigating Controls

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
prevents

Secure development practices directly require correct logic for security comparisons and thereby prevent this class of flaw.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

A.8.29 Security testing in development and acceptance mostly match
finds

Security testing can detect incorrect comparison flaws before deployment.

A.8.25 Secure development life cycle partial match
prevents

Secure development lifecycle includes code review and testing that can catch incorrect comparison logic.

A.8.26 Application security requirements partial match
prevents

Application security requirements can mandate correct comparison logic for security decisions.

A.8.27 Secure system architecture and engineering principles partial match
prevents

Secure architecture principles can require robust comparison mechanisms for access decisions.

A.8.28 Secure coding partial match
prevents

Secure coding standards directly address avoiding incorrect comparison operators and logic.

A.8.5 Secure authentication partial match
degrades

Secure authentication mechanisms rely on correct comparison of credentials or tokens.

References