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TI-2022-07616 Aliases CVE-2022-23563GHSA-wc4g-r73w-x8mm

Insecure temporary file in Tensorflow

Priority LOW 32CWE-367Published · Updated

Key facts

Attack vector
Local
Privileges required
Low
User interaction
None
Attack complexity
Low
Impact type
—
Confidentiality · integrity · availability
High · High · None
Fix status
Fixed

Attack profile from CVSS 3.1 · CNA. Fix status from CNA and GitHub.

Summary

Tensorflow is an Open Source Machine Learning Framework. In multiple places, TensorFlow uses `tempfile.mktemp` to create temporary files. While this is acceptable in testing, in utilities and libraries it is dangerous as a different process can create the file between the check for the filename in `mktemp` and the actual creation of the file by a subsequent operation (a TOC/TOU type of weakness). In several instances, TensorFlow was supposed to actually create a temporary directory instead of a file. This logic bug is hidden away by the `mktemp` function usage. We have patched the issue in several commits, replacing `mktemp` with the safer `mkstemp`/`mkdtemp` functions, according to the usage pattern. Users are advised to upgrade as soon as possible.

Why it matters now

Exploitation None reported CISA SSVC · not in CISA KEV
EPSS 0.0011 1st 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
Total

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-wc4g-r73w-x8mm
—tensorflow (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-wc4g-r73w-x8mm
—tensorflow (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-wc4g-r73w-x8mm
—tensorflow-cpu (PyPI)before 2.5.32.5.3Patch availableGHSA-wc4g-r73w-x8mm
—tensorflow-cpu (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-wc4g-r73w-x8mm
—tensorflow-cpu (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-wc4g-r73w-x8mm
—tensorflow-gpu (PyPI)before 2.5.32.5.3Patch availableGHSA-wc4g-r73w-x8mm
—tensorflow-gpu (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-wc4g-r73w-x8mm
—tensorflow-gpu (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-wc4g-r73w-x8mm
  • 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-wc4g-r73w-x8mm
  • tensorflow (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-wc4g-r73w-x8mm
  • tensorflow (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-wc4g-r73w-x8mm
  • tensorflow-cpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-wc4g-r73w-x8mm
  • tensorflow-cpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-wc4g-r73w-x8mm
  • tensorflow-cpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-wc4g-r73w-x8mm
  • tensorflow-gpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-wc4g-r73w-x8mm
  • tensorflow-gpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-wc4g-r73w-x8mm
  • tensorflow-gpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-wc4g-r73w-x8mm

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-wc4g-r73w-x8mm tensorflow (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-wc4g-r73w-x8mm tensorflow (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-wc4g-r73w-x8mm tensorflow (PyPI) Fixed in 2.7.1 Advisory →
  • Fix · GHSA-wc4g-r73w-x8mm tensorflow-cpu (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-wc4g-r73w-x8mm tensorflow-cpu (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-wc4g-r73w-x8mm tensorflow-cpu (PyPI) Fixed in 2.7.1 Advisory →
  • Fix · GHSA-wc4g-r73w-x8mm tensorflow-gpu (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-wc4g-r73w-x8mm tensorflow-gpu (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-wc4g-r73w-x8mm tensorflow-gpu (PyPI) Fixed in 2.7.1 Advisory →

Timeline

  1. 2026-10-02 Threatist record created from CVE-2022-23563
  2. 2026-10-03 Alias added: GHSA-wc4g-r73w-x8mm

References

Advisory 2

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