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TI-2022-07624 Aliases CVE-2022-23571GHSA-j3mj-fhpq-qqjj

Reachable Assertion in Tensorflow

Priority LOW 29CWE-617Published · 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-617.

Summary

Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, a TensorFlow process can encounter cases where a `CHECK` assertion is invalidated based on user controlled arguments, if the tensors have an invalid `dtype` and 0 elements or an invalid shape. This allows attackers to cause denial of services in TensorFlow processes. 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 None reported CISA SSVC · not in CISA KEV
EPSS 0.00473 41st percentileScored 2026-11-07
Fix Fixed tensorflow (tensorflow): 2.7.1, 2.6.3, 2.5.3tensorflow (PyPI): 2.5.3, 2.6.3, 2.7.1+2 more products

SSVC decision points

CISA ADP · SSVC 2.0.3

Exploitation
None
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
Googletensorflow2.7.0 to before 2.7.1; 2.6.0 to before 2.6.3; before 2.5.32.7.1, 2.6.3, 2.5.3Patch availableCNA
—tensorflow (PyPI)before 2.5.32.5.3Patch availableGHSA-j3mj-fhpq-qqjj
—tensorflow (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-j3mj-fhpq-qqjj
—tensorflow (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-j3mj-fhpq-qqjj
—tensorflow-cpu (PyPI)before 2.5.32.5.3Patch availableGHSA-j3mj-fhpq-qqjj
—tensorflow-cpu (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-j3mj-fhpq-qqjj
—tensorflow-cpu (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-j3mj-fhpq-qqjj
—tensorflow-gpu (PyPI)before 2.5.32.5.3Patch availableGHSA-j3mj-fhpq-qqjj
—tensorflow-gpu (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-j3mj-fhpq-qqjj
—tensorflow-gpu (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-j3mj-fhpq-qqjj
  • tensorflow VendorGoogle Affected 2.7.0 to before 2.7.1; 2.6.0 to before 2.6.3; before 2.5.3 Fixed in 2.7.1, 2.6.3, 2.5.3 Patch available CNA
  • tensorflow (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-j3mj-fhpq-qqjj
  • tensorflow (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-j3mj-fhpq-qqjj
  • tensorflow (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-j3mj-fhpq-qqjj
  • tensorflow-cpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-j3mj-fhpq-qqjj
  • tensorflow-cpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-j3mj-fhpq-qqjj
  • tensorflow-cpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-j3mj-fhpq-qqjj
  • tensorflow-gpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-j3mj-fhpq-qqjj
  • tensorflow-gpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-j3mj-fhpq-qqjj
  • tensorflow-gpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-j3mj-fhpq-qqjj

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 · CNA tensorflow (tensorflow) Fixed in 2.7.1, 2.6.3, 2.5.3
  • Fix · GHSA-j3mj-fhpq-qqjj tensorflow (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-j3mj-fhpq-qqjj tensorflow (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-j3mj-fhpq-qqjj tensorflow (PyPI) Fixed in 2.7.1 Advisory →
  • Fix · GHSA-j3mj-fhpq-qqjj tensorflow-cpu (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-j3mj-fhpq-qqjj tensorflow-cpu (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-j3mj-fhpq-qqjj tensorflow-cpu (PyPI) Fixed in 2.7.1 Advisory →
  • Fix · GHSA-j3mj-fhpq-qqjj tensorflow-gpu (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-j3mj-fhpq-qqjj tensorflow-gpu (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-j3mj-fhpq-qqjj tensorflow-gpu (PyPI) Fixed in 2.7.1 Advisory →

Timeline

  1. 2026-10-02 Threatist record created from CVE-2022-23571
  2. 2026-10-03 Alias added: GHSA-j3mj-fhpq-qqjj

References

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