TI-2020-12038 Aliases CVE-2020-15266 GHSA-xwhf-g6j5-j5gc

Undefined behavior in Tensorflow

LOW 35CWE-119Published 2020-10-21 · Updated 2024-08-04

Key facts

Attack vector: Network
Privileges required: None
User interaction: None
Attack complexity: Low
Impact type: Denial of service
Confidentiality · integrity · availability: None · None · High
Fix status: Fixed

Attack profile from CVSS 3.1 · NVD. Fix status from CNA and GitHub. Impact type from CWE-119 and the CVSS impact.

Summary

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.

Why it matters now

EPSS 0.0094 61st percentileScored 2026-11-07

Public exploit Yes 1 exploit referenceTagged by NVD

Fix Fixed tensorflow (tensorflow): 2.4.0tensorflow (PyPI): 2.4.0+2 more products

SSVC decision points

Not available: CISA has not published SSVC decision points for this record.

Affected products

Vendor	Product	Affected versions	Fixed in	Status	Source
Google	tensorflow	before 2.4.0	2.4.0	Patch available	CNA
—	tensorflow (PyPI)	before 2.4.0	2.4.0	Patch available	GHSA-xwhf-g6j5-j5gc
—	tensorflow-cpu (PyPI)	before 2.4.0	2.4.0	Patch available	GHSA-xwhf-g6j5-j5gc
—	tensorflow-gpu (PyPI)	before 2.4.0	2.4.0	Patch available	GHSA-xwhf-g6j5-j5gc

tensorflow VendorGoogle Affected before 2.4.0 Fixed in 2.4.0 Patch available CNA
tensorflow (PyPI) Vendor— Affected before 2.4.0 Fixed in 2.4.0 Patch available GHSA-xwhf-g6j5-j5gc
tensorflow-cpu (PyPI) Vendor— Affected before 2.4.0 Fixed in 2.4.0 Patch available GHSA-xwhf-g6j5-j5gc
tensorflow-gpu (PyPI) Vendor— Affected before 2.4.0 Fixed in 2.4.0 Patch available GHSA-xwhf-g6j5-j5gc

CPE configurations NVD · 1

CPE	Versions	Role	Vendor
cpe:2.3:a:google:tensorflow:::::-:::*	before 2.4.0	Vulnerable	Google

cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:* Versions before 2.4.0 Vulnerable ·Google

Remediation

Fix · CNA tensorflow (tensorflow) Fixed in 2.4.0
Fix · GHSA-xwhf-g6j5-j5gc tensorflow (PyPI) Fixed in 2.4.0 Advisory →
Fix · GHSA-xwhf-g6j5-j5gc tensorflow-cpu (PyPI) Fixed in 2.4.0 Advisory →
Fix · GHSA-xwhf-g6j5-j5gc tensorflow-gpu (PyPI) Fixed in 2.4.0 Advisory →

Timeline

2026-10-02 Threatist record created from CVE-2020-15266
2026-10-03 Alias added: GHSA-xwhf-g6j5-j5gc

References

Exploit 1

https://github.com/tensorflow/tensorflow/issues/42129

Patch 2

Advisory 1

https://nvd.nist.gov/vuln/detail/CVE-2020-15266

Other 4

TI-2022-20241 FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess in Tensorflow CVSS 3.1CRITICAL 9.8
TI-2022-07640 Integer overflow in Tensorflow CVSS 3.1CRITICAL 9.8
TI-2022-07627 Out of bounds read and write in Tensorflow CVSS 3.1HIGH 8.8
TI-2022-07619 Out of bounds write in Tensorflow CVSS 3.1HIGH 8.8
TI-2022-07613 Read and Write outside of bounds in TFLite CVSS 3.1HIGH 8.8
TI-2022-07612 Integer overflow in TFLite CVSS 3.1HIGH 8.8

See all 430 →

Sources

This product uses the NVD API but is not endorsed or certified by the NVD. Sources and licences