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TI-2022-06106 Aliases CVE-2022-21733GHSA-98j8-c9q4-r38g

Memory exhaustion in Tensorflow

Priority MEDIUM 62CWE-190Published · 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 · NVD. Fix status from CNA and GitHub. Impact type from CWE-190 and the CVSS impact.

Summary

Tensorflow is an Open Source Machine Learning Framework. The implementation of `StringNGrams` can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on `pad_witdh` and that result in computing a negative value for `ngram_width` which is later used to allocate parts of the output. 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 0.00828 57th percentileScored 2026-11-07
Public exploit Yes 1 exploit referenceTagged by NVD
Fix Fixed tensorflow (PyPI): 2.5.3, 2.6.3, 2.7.1tensorflow-cpu (PyPI): 2.5.3, 2.6.3, 2.7.1+1 more product

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
——all versions—No fix listedCNA
—tensorflow (PyPI)before 2.5.32.5.3Patch availableGHSA-98j8-c9q4-r38g
—tensorflow (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-98j8-c9q4-r38g
—tensorflow (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-98j8-c9q4-r38g
—tensorflow-cpu (PyPI)before 2.5.32.5.3Patch availableGHSA-98j8-c9q4-r38g
—tensorflow-cpu (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-98j8-c9q4-r38g
—tensorflow-cpu (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-98j8-c9q4-r38g
—tensorflow-gpu (PyPI)before 2.5.32.5.3Patch availableGHSA-98j8-c9q4-r38g
—tensorflow-gpu (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-98j8-c9q4-r38g
—tensorflow-gpu (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-98j8-c9q4-r38g
  • — Vendor— Affected all versions Fixed in — No fix listed CNA
  • tensorflow (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-98j8-c9q4-r38g
  • tensorflow (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-98j8-c9q4-r38g
  • tensorflow (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-98j8-c9q4-r38g
  • tensorflow-cpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-98j8-c9q4-r38g
  • tensorflow-cpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-98j8-c9q4-r38g
  • tensorflow-cpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-98j8-c9q4-r38g
  • tensorflow-gpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-98j8-c9q4-r38g
  • tensorflow-gpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-98j8-c9q4-r38g
  • tensorflow-gpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-98j8-c9q4-r38g

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 · GHSA-98j8-c9q4-r38g tensorflow (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-98j8-c9q4-r38g tensorflow (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-98j8-c9q4-r38g tensorflow (PyPI) Fixed in 2.7.1 Advisory →
  • Fix · GHSA-98j8-c9q4-r38g tensorflow-cpu (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-98j8-c9q4-r38g tensorflow-cpu (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-98j8-c9q4-r38g tensorflow-cpu (PyPI) Fixed in 2.7.1 Advisory →
  • Fix · GHSA-98j8-c9q4-r38g tensorflow-gpu (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-98j8-c9q4-r38g tensorflow-gpu (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-98j8-c9q4-r38g tensorflow-gpu (PyPI) Fixed in 2.7.1 Advisory →

Timeline

  1. 2026-10-02 Threatist record created from CVE-2022-21733
  2. 2026-10-03 Alias added: GHSA-98j8-c9q4-r38g

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