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TI-2022-07625 Aliases CVE-2022-23572GHSA-rww7-2gpw-fv6j

Crash when type cannot be specialized in Tensorflow

Priority MEDIUM 62CWE-754Published · 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. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the `DCHECK` function however, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the `ValueOrDie` line. This results in an assertion failure as `ret` contains an error `Status`, not a value. In the second case we also get a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, 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 0.01 63rd 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-rww7-2gpw-fv6j
—tensorflow (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-rww7-2gpw-fv6j
—tensorflow (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-rww7-2gpw-fv6j
—tensorflow-cpu (PyPI)before 2.5.32.5.3Patch availableGHSA-rww7-2gpw-fv6j
—tensorflow-cpu (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-rww7-2gpw-fv6j
—tensorflow-cpu (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-rww7-2gpw-fv6j
—tensorflow-gpu (PyPI)before 2.5.32.5.3Patch availableGHSA-rww7-2gpw-fv6j
—tensorflow-gpu (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-rww7-2gpw-fv6j
—tensorflow-gpu (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-rww7-2gpw-fv6j
  • 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-rww7-2gpw-fv6j
  • tensorflow (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-rww7-2gpw-fv6j
  • tensorflow (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-rww7-2gpw-fv6j
  • tensorflow-cpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-rww7-2gpw-fv6j
  • tensorflow-cpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-rww7-2gpw-fv6j
  • tensorflow-cpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-rww7-2gpw-fv6j
  • tensorflow-gpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-rww7-2gpw-fv6j
  • tensorflow-gpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-rww7-2gpw-fv6j
  • tensorflow-gpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-rww7-2gpw-fv6j

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-rww7-2gpw-fv6j tensorflow (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-rww7-2gpw-fv6j tensorflow (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-rww7-2gpw-fv6j tensorflow (PyPI) Fixed in 2.7.1 Advisory →
  • Fix · GHSA-rww7-2gpw-fv6j tensorflow-cpu (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-rww7-2gpw-fv6j tensorflow-cpu (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-rww7-2gpw-fv6j tensorflow-cpu (PyPI) Fixed in 2.7.1 Advisory →
  • Fix · GHSA-rww7-2gpw-fv6j tensorflow-gpu (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-rww7-2gpw-fv6j tensorflow-gpu (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-rww7-2gpw-fv6j tensorflow-gpu (PyPI) Fixed in 2.7.1 Advisory →

Timeline

  1. 2026-10-02 Threatist record created from CVE-2022-23572
  2. 2026-10-03 Alias added: GHSA-rww7-2gpw-fv6j

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