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TI-2022-07636 Aliases CVE-2022-23583GHSA-gjqc-q9g6-q2j3

`CHECK`-failures in binary ops in Tensorflow

Priority MEDIUM 62CWE-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. A malicious user can cause a denial of service by altering a `SavedModel` such that any binary op would trigger `CHECK` failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the `dtype` no longer matches the `dtype` expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved. If `Tin` and `Tout` don't match the type of data in `out` and `input_*` tensors then `flat<*>` would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a `CHECK` crash, hence a denial of service. 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 0.00879 59th percentileScored 2026-11-07
Public exploit Yes 1 exploit referenceTagged by NVD
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
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
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-gjqc-q9g6-q2j3
—tensorflow (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-gjqc-q9g6-q2j3
—tensorflow (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-gjqc-q9g6-q2j3
—tensorflow-cpu (PyPI)before 2.5.32.5.3Patch availableGHSA-gjqc-q9g6-q2j3
—tensorflow-cpu (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-gjqc-q9g6-q2j3
—tensorflow-cpu (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-gjqc-q9g6-q2j3
—tensorflow-gpu (PyPI)before 2.5.32.5.3Patch availableGHSA-gjqc-q9g6-q2j3
—tensorflow-gpu (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-gjqc-q9g6-q2j3
—tensorflow-gpu (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-gjqc-q9g6-q2j3
  • 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-gjqc-q9g6-q2j3
  • tensorflow (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-gjqc-q9g6-q2j3
  • tensorflow (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-gjqc-q9g6-q2j3
  • tensorflow-cpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-gjqc-q9g6-q2j3
  • tensorflow-cpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-gjqc-q9g6-q2j3
  • tensorflow-cpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-gjqc-q9g6-q2j3
  • tensorflow-gpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-gjqc-q9g6-q2j3
  • tensorflow-gpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-gjqc-q9g6-q2j3
  • tensorflow-gpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-gjqc-q9g6-q2j3

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-gjqc-q9g6-q2j3 tensorflow (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-gjqc-q9g6-q2j3 tensorflow (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-gjqc-q9g6-q2j3 tensorflow (PyPI) Fixed in 2.7.1 Advisory →
  • Fix · GHSA-gjqc-q9g6-q2j3 tensorflow-cpu (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-gjqc-q9g6-q2j3 tensorflow-cpu (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-gjqc-q9g6-q2j3 tensorflow-cpu (PyPI) Fixed in 2.7.1 Advisory →
  • Fix · GHSA-gjqc-q9g6-q2j3 tensorflow-gpu (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-gjqc-q9g6-q2j3 tensorflow-gpu (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-gjqc-q9g6-q2j3 tensorflow-gpu (PyPI) Fixed in 2.7.1 Advisory →

Timeline

  1. 2026-10-02 Threatist record created from CVE-2022-23583
  2. 2026-10-03 Alias added: GHSA-gjqc-q9g6-q2j3

References

Exploit 1

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