CVE-2020-15266 - CVE House
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Status published Low CVE-2020-15266

Undefined behavior in Tensorflow

Vulnerability Description

In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.

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:
< 2.4.0

Timeline

Official Publish: October 21st, 2020
Last Modified: August 4th, 2024
Added to House: July 21st, 2026

CVSS Vectors

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

Weaknesses (CWE)

CWE-119

MITRE ATT&CK TTPs

T1068 Exploitation for Privilege Escalation
Privilege Escalation
T1203 Exploitation for Client Execution
Execution
T1055 Process Injection
Defense Evasion
T1105 Ingress Tool Transfer
Command and Control