TI-2022-20230 Aliases CVE-2022-41889 GHSA-xxcj-rhqg-m46g

Segfault via invalid attributes in `pywrap_tfe_src.cc` in Tensorflow

HIGH 66CWE-476Published 2022-11-18 · Updated 2025-04-22

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-476.

Summary

TensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a `nullptr`, which is not caught. An example can be seen in `tf.compat.v1.extract_volume_patches` by passing in quantized tensors as input `ksizes`. We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Why it matters now

Exploitation Proof of concept CISA SSVC · not in CISA KEV

EPSS 0.00451 39th percentileScored 2026-11-07

Public exploit Yes 1 exploit referenceTagged by NVD

Fix Fixed tensorflow (tensorflow): 2.10.1, 2.9.3, 2.8.4tensorflow (PyPI): 2.8.4, 2.9.3, 2.10.1+2 more products

SSVC decision points

CISA ADP · SSVC 2.0.3

Exploitation: Poc
Automatable: No
Technical impact: Partial

The decision (Track, Attend, Act) also depends on your mission and well-being impact; see CISA's SSVC guide.

Affected products

Vendor	Product	Affected versions	Fixed in	Status	Source
Google	tensorflow	2.10.0 to before 2.10.1; 2.9.0 to before 2.9.3; before 2.8.4	2.10.1, 2.9.3, 2.8.4	Patch available	CNA
—	tensorflow (PyPI)	before 2.8.4	2.8.4	Patch available	GHSA-xxcj-rhqg-m46g
—	tensorflow (PyPI)	2.9.0 to before 2.9.3	2.9.3	Patch available	GHSA-xxcj-rhqg-m46g
—	tensorflow (PyPI)	2.10.0 to before 2.10.1	2.10.1	Patch available	GHSA-xxcj-rhqg-m46g
—	tensorflow-cpu (PyPI)	before 2.8.4	2.8.4	Patch available	GHSA-xxcj-rhqg-m46g
—	tensorflow-gpu (PyPI)	before 2.8.4	2.8.4	Patch available	GHSA-xxcj-rhqg-m46g
—	tensorflow-cpu (PyPI)	2.9.0 to before 2.9.3	2.9.3	Patch available	GHSA-xxcj-rhqg-m46g
—	tensorflow-gpu (PyPI)	2.9.0 to before 2.9.3	2.9.3	Patch available	GHSA-xxcj-rhqg-m46g
—	tensorflow-cpu (PyPI)	2.10.0 to before 2.10.1	2.10.1	Patch available	GHSA-xxcj-rhqg-m46g
—	tensorflow-gpu (PyPI)	2.10.0 to before 2.10.1	2.10.1	Patch available	GHSA-xxcj-rhqg-m46g

tensorflow VendorGoogle Affected 2.10.0 to before 2.10.1; 2.9.0 to before 2.9.3; before 2.8.4 Fixed in 2.10.1, 2.9.3, 2.8.4 Patch available CNA
tensorflow (PyPI) Vendor— Affected before 2.8.4 Fixed in 2.8.4 Patch available GHSA-xxcj-rhqg-m46g
tensorflow (PyPI) Vendor— Affected 2.9.0 to before 2.9.3 Fixed in 2.9.3 Patch available GHSA-xxcj-rhqg-m46g
tensorflow (PyPI) Vendor— Affected 2.10.0 to before 2.10.1 Fixed in 2.10.1 Patch available GHSA-xxcj-rhqg-m46g
tensorflow-cpu (PyPI) Vendor— Affected before 2.8.4 Fixed in 2.8.4 Patch available GHSA-xxcj-rhqg-m46g
tensorflow-gpu (PyPI) Vendor— Affected before 2.8.4 Fixed in 2.8.4 Patch available GHSA-xxcj-rhqg-m46g
tensorflow-cpu (PyPI) Vendor— Affected 2.9.0 to before 2.9.3 Fixed in 2.9.3 Patch available GHSA-xxcj-rhqg-m46g
tensorflow-gpu (PyPI) Vendor— Affected 2.9.0 to before 2.9.3 Fixed in 2.9.3 Patch available GHSA-xxcj-rhqg-m46g
tensorflow-cpu (PyPI) Vendor— Affected 2.10.0 to before 2.10.1 Fixed in 2.10.1 Patch available GHSA-xxcj-rhqg-m46g
tensorflow-gpu (PyPI) Vendor— Affected 2.10.0 to before 2.10.1 Fixed in 2.10.1 Patch available GHSA-xxcj-rhqg-m46g

CPE configurations NVD · 1

CPE	Versions	Role	Vendor
cpe:2.3:a:google:tensorflow::::::::	before 2.8.4; 2.9.0 to before 2.9.3; 2.10.0 to before 2.10.1	Vulnerable	Google

cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* Versions before 2.8.4; 2.9.0 to before 2.9.3; 2.10.0 to before 2.10.1 Vulnerable ·Google

Remediation

Fix · CNA tensorflow (tensorflow) Fixed in 2.10.1, 2.9.3, 2.8.4
Fix · GHSA-xxcj-rhqg-m46g tensorflow (PyPI) Fixed in 2.8.4 Advisory →
Fix · GHSA-xxcj-rhqg-m46g tensorflow (PyPI) Fixed in 2.9.3 Advisory →
Fix · GHSA-xxcj-rhqg-m46g tensorflow (PyPI) Fixed in 2.10.1 Advisory →
Fix · GHSA-xxcj-rhqg-m46g tensorflow-cpu (PyPI) Fixed in 2.8.4 Advisory →
Fix · GHSA-xxcj-rhqg-m46g tensorflow-gpu (PyPI) Fixed in 2.8.4 Advisory →
Fix · GHSA-xxcj-rhqg-m46g tensorflow-cpu (PyPI) Fixed in 2.9.3 Advisory →
Fix · GHSA-xxcj-rhqg-m46g tensorflow-gpu (PyPI) Fixed in 2.9.3 Advisory →
Fix · GHSA-xxcj-rhqg-m46g tensorflow-cpu (PyPI) Fixed in 2.10.1 Advisory →
Fix · GHSA-xxcj-rhqg-m46g tensorflow-gpu (PyPI) Fixed in 2.10.1 Advisory →

Timeline

2026-10-02 Threatist record created from CVE-2022-41889
2026-10-03 Alias added: GHSA-xxcj-rhqg-m46g

References

Exploit 1

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xxcj-rhqg-m46g

Patch 1

https://github.com/tensorflow/tensorflow/commit/e9e95553e5411834d215e6770c81a83a3d0866ce

Advisory 2

Other 1

https://github.com/tensorflow/tensorflow

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