TI-2022-20225 Aliases CVE-2022-41884 GHSA-jq6x-99hj-q636

Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow

HIGH 66CWE-670Published 2022-11-18 · Updated 2025-04-22

Key facts

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

Attack profile from CVSS 3.1 · NVD. Fix status from CNA and GitHub.

Summary

TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. 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 0.0037 31st 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-jq6x-99hj-q636
—	tensorflow (PyPI)	2.9.0 to before 2.9.3	2.9.3	Patch available	GHSA-jq6x-99hj-q636
—	tensorflow (PyPI)	2.10.0 to before 2.10.1	2.10.1	Patch available	GHSA-jq6x-99hj-q636
—	tensorflow-cpu (PyPI)	before 2.8.4	2.8.4	Patch available	GHSA-jq6x-99hj-q636
—	tensorflow-gpu (PyPI)	before 2.8.4	2.8.4	Patch available	GHSA-jq6x-99hj-q636
—	tensorflow-cpu (PyPI)	2.9.0 to before 2.9.3	2.9.3	Patch available	GHSA-jq6x-99hj-q636
—	tensorflow-gpu (PyPI)	2.9.0 to before 2.9.3	2.9.3	Patch available	GHSA-jq6x-99hj-q636
—	tensorflow-cpu (PyPI)	2.10.0 to before 2.10.1	2.10.1	Patch available	GHSA-jq6x-99hj-q636
—	tensorflow-gpu (PyPI)	2.10.0 to before 2.10.1	2.10.1	Patch available	GHSA-jq6x-99hj-q636

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-jq6x-99hj-q636
tensorflow (PyPI) Vendor— Affected 2.9.0 to before 2.9.3 Fixed in 2.9.3 Patch available GHSA-jq6x-99hj-q636
tensorflow (PyPI) Vendor— Affected 2.10.0 to before 2.10.1 Fixed in 2.10.1 Patch available GHSA-jq6x-99hj-q636
tensorflow-cpu (PyPI) Vendor— Affected before 2.8.4 Fixed in 2.8.4 Patch available GHSA-jq6x-99hj-q636
tensorflow-gpu (PyPI) Vendor— Affected before 2.8.4 Fixed in 2.8.4 Patch available GHSA-jq6x-99hj-q636
tensorflow-cpu (PyPI) Vendor— Affected 2.9.0 to before 2.9.3 Fixed in 2.9.3 Patch available GHSA-jq6x-99hj-q636
tensorflow-gpu (PyPI) Vendor— Affected 2.9.0 to before 2.9.3 Fixed in 2.9.3 Patch available GHSA-jq6x-99hj-q636
tensorflow-cpu (PyPI) Vendor— Affected 2.10.0 to before 2.10.1 Fixed in 2.10.1 Patch available GHSA-jq6x-99hj-q636
tensorflow-gpu (PyPI) Vendor— Affected 2.10.0 to before 2.10.1 Fixed in 2.10.1 Patch available GHSA-jq6x-99hj-q636

CPE configurations NVD · 2

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

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

Remediation

Fix · CNA tensorflow (tensorflow) Fixed in 2.10.1, 2.9.3, 2.8.4
Fix · GHSA-jq6x-99hj-q636 tensorflow (PyPI) Fixed in 2.8.4 Advisory →
Fix · GHSA-jq6x-99hj-q636 tensorflow (PyPI) Fixed in 2.9.3 Advisory →
Fix · GHSA-jq6x-99hj-q636 tensorflow (PyPI) Fixed in 2.10.1 Advisory →
Fix · GHSA-jq6x-99hj-q636 tensorflow-cpu (PyPI) Fixed in 2.8.4 Advisory →
Fix · GHSA-jq6x-99hj-q636 tensorflow-gpu (PyPI) Fixed in 2.8.4 Advisory →
Fix · GHSA-jq6x-99hj-q636 tensorflow-cpu (PyPI) Fixed in 2.9.3 Advisory →
Fix · GHSA-jq6x-99hj-q636 tensorflow-gpu (PyPI) Fixed in 2.9.3 Advisory →
Fix · GHSA-jq6x-99hj-q636 tensorflow-cpu (PyPI) Fixed in 2.10.1 Advisory →
Fix · GHSA-jq6x-99hj-q636 tensorflow-gpu (PyPI) Fixed in 2.10.1 Advisory →

Timeline

2026-10-02 Threatist record created from CVE-2022-41884
2026-10-03 Alias added: GHSA-jq6x-99hj-q636

References

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