Read the docs
TI-2022-06104 Aliases CVE-2022-21731GHSA-m4hf-j54p-p353

Type confusion leading to segfault in Tensorflow

Priority MEDIUM 62CWE-843Published · Updated

Key facts

Attack vector
Network
Privileges required
Low
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 · CNA. Fix status from CNA and GitHub. Impact type from CWE-843 and the CVSS impact.

Summary

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ConcatV2` can be used to trigger a denial of service attack via a segfault caused by a type confusion. The `axis` argument is translated into `concat_dim` in the `ConcatShapeHelper` helper function. Then, a value for `min_rank` is computed based on `concat_dim`. This is then used to validate that the `values` tensor has at least the required rank. However, `WithRankAtLeast` receives the lower bound as a 64-bits value and then compares it against the maximum 32-bits integer value that could be represented. Due to the fact that `min_rank` is a 32-bits value and the value of `axis`, the `rank` argument is a negative value, so the error check is bypassed. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 0.00852 58th percentileScored 2026-11-07
Public exploit Yes 2 exploit referencesTagged by NVD
Fix Fixed tensorflow (PyPI): 2.5.3, 2.6.3, 2.7.1tensorflow-cpu (PyPI): 2.5.3, 2.6.3, 2.7.1+1 more product

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

VendorProductAffected versionsFixed inStatusSource
——all versions—No fix listedCNA
—tensorflow (PyPI)before 2.5.32.5.3Patch availableGHSA-m4hf-j54p-p353
—tensorflow (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-m4hf-j54p-p353
—tensorflow (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-m4hf-j54p-p353
—tensorflow-cpu (PyPI)before 2.5.32.5.3Patch availableGHSA-m4hf-j54p-p353
—tensorflow-cpu (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-m4hf-j54p-p353
—tensorflow-cpu (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-m4hf-j54p-p353
—tensorflow-gpu (PyPI)before 2.5.32.5.3Patch availableGHSA-m4hf-j54p-p353
—tensorflow-gpu (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-m4hf-j54p-p353
—tensorflow-gpu (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-m4hf-j54p-p353
  • — Vendor— Affected all versions Fixed in — No fix listed CNA
  • tensorflow (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-m4hf-j54p-p353
  • tensorflow (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-m4hf-j54p-p353
  • tensorflow (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-m4hf-j54p-p353
  • tensorflow-cpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-m4hf-j54p-p353
  • tensorflow-cpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-m4hf-j54p-p353
  • tensorflow-cpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-m4hf-j54p-p353
  • tensorflow-gpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-m4hf-j54p-p353
  • tensorflow-gpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-m4hf-j54p-p353
  • tensorflow-gpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-m4hf-j54p-p353

CPE configurations NVD · 2

CPEVersionsRoleVendor
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*up to 2.5.2; 2.6.0 – 2.6.2VulnerableGoogle
cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:*2.7.0VulnerableGoogle
  • cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* Versions up to 2.5.2; 2.6.0 – 2.6.2 Vulnerable ·Google
  • cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:* Versions 2.7.0 Vulnerable ·Google

Remediation

  • Fix · GHSA-m4hf-j54p-p353 tensorflow (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-m4hf-j54p-p353 tensorflow (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-m4hf-j54p-p353 tensorflow (PyPI) Fixed in 2.7.1 Advisory →
  • Fix · GHSA-m4hf-j54p-p353 tensorflow-cpu (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-m4hf-j54p-p353 tensorflow-cpu (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-m4hf-j54p-p353 tensorflow-cpu (PyPI) Fixed in 2.7.1 Advisory →
  • Fix · GHSA-m4hf-j54p-p353 tensorflow-gpu (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-m4hf-j54p-p353 tensorflow-gpu (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-m4hf-j54p-p353 tensorflow-gpu (PyPI) Fixed in 2.7.1 Advisory →

Timeline

  1. 2026-10-02 Threatist record created from CVE-2022-21731
  2. 2026-10-03 Alias added: GHSA-m4hf-j54p-p353

References

Exploit 2

Patch 2

Advisory 1

Other 3

  • 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