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TI-2022-07642 Aliases CVE-2022-23589GHSA-9px9-73fg-3fqp

Null pointer dereference in Grappler's `IsConstant` in Tensorflow

Priority MEDIUM 62CWE-476Published · 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-476.

Summary

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow can trigger a null pointer dereference. There are 2 places where this can occur, for the same malicious alteration of a `SavedModel` file (fixing the first one would trigger the same dereference in the second place). First, during constant folding, the `GraphDef` might not have the required nodes for the binary operation. If a node is missing, the correposning `mul_*child` would be null, and the dereference in the subsequent line would be incorrect. We have a similar issue during `IsIdentityConsumingSwitch`. 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 0.01106 66th percentileScored 2026-11-07
Public exploit Yes 2 exploit referencesTagged 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-9px9-73fg-3fqp
—tensorflow (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-9px9-73fg-3fqp
—tensorflow (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-9px9-73fg-3fqp
—tensorflow-cpu (PyPI)before 2.5.32.5.3Patch availableGHSA-9px9-73fg-3fqp
—tensorflow-cpu (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-9px9-73fg-3fqp
—tensorflow-cpu (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-9px9-73fg-3fqp
—tensorflow-gpu (PyPI)before 2.5.32.5.3Patch availableGHSA-9px9-73fg-3fqp
—tensorflow-gpu (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-9px9-73fg-3fqp
—tensorflow-gpu (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-9px9-73fg-3fqp
  • 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-9px9-73fg-3fqp
  • tensorflow (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-9px9-73fg-3fqp
  • tensorflow (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-9px9-73fg-3fqp
  • tensorflow-cpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-9px9-73fg-3fqp
  • tensorflow-cpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-9px9-73fg-3fqp
  • tensorflow-cpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-9px9-73fg-3fqp
  • tensorflow-gpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-9px9-73fg-3fqp
  • tensorflow-gpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-9px9-73fg-3fqp
  • tensorflow-gpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-9px9-73fg-3fqp

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-9px9-73fg-3fqp tensorflow (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-9px9-73fg-3fqp tensorflow (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-9px9-73fg-3fqp tensorflow (PyPI) Fixed in 2.7.1 Advisory →
  • Fix · GHSA-9px9-73fg-3fqp tensorflow-cpu (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-9px9-73fg-3fqp tensorflow-cpu (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-9px9-73fg-3fqp tensorflow-cpu (PyPI) Fixed in 2.7.1 Advisory →
  • Fix · GHSA-9px9-73fg-3fqp tensorflow-gpu (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-9px9-73fg-3fqp tensorflow-gpu (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-9px9-73fg-3fqp tensorflow-gpu (PyPI) Fixed in 2.7.1 Advisory →

Timeline

  1. 2026-10-02 Threatist record created from CVE-2022-23589
  2. 2026-10-03 Alias added: GHSA-9px9-73fg-3fqp

References

Exploit 2

Patch 3

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