CVE Vulnerability

CVE-2020-26266

In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.

4.6 /10

CVSS v2.0 :

V3 Legend

Vector :

Exploitability : 3.9 / Impact : 6.4

Attack Vector

Attack Complexity

Privileges Required

User Interaction

Confidentiality Impact PARTIAL

Integrity Impact PARTIAL

Availability Impact PARTIAL

Scope

5.3 /10

CVSS v3.0 : MEDIUM

V3 Legend

Vector :

Exploitability : 1.8 / Impact : 3.4

Attack Vector LOCAL

Attack Complexity LOW

Privileges Required LOW

User Interaction NONE

Confidentiality Impact LOW

Integrity Impact LOW

Availability Impact LOW

Scope UNCHANGED

References
Link Resource
https://github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2 Patch Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2 Exploit Patch
Configurations

Configuration 1

cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
Information

Published : 2020-12-10 11:15

Updated : 2020-12-14 05:54

NVD link : CVE-2020-26266

Mitre link : CVE-2020-26266

Products Affected
No products.
CWE
CWE-908