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TI-2022-07610 Aliases CVE-2022-23557GHSA-gf2j-f278-xh4v

Division by zero in TFLite

Priority MEDIUM 62CWE-369Published · 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-369.

Summary

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would trigger a division by zero in `BiasAndClamp` implementation. There is no check that the `bias_size` is non zero. 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 0.00763 55th 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-gf2j-f278-xh4v
—tensorflow (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-gf2j-f278-xh4v
—tensorflow (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-gf2j-f278-xh4v
—tensorflow-cpu (PyPI)before 2.5.32.5.3Patch availableGHSA-gf2j-f278-xh4v
—tensorflow-cpu (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-gf2j-f278-xh4v
—tensorflow-cpu (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-gf2j-f278-xh4v
—tensorflow-gpu (PyPI)before 2.5.32.5.3Patch availableGHSA-gf2j-f278-xh4v
—tensorflow-gpu (PyPI)2.6.0 to before 2.6.32.6.3Patch availableGHSA-gf2j-f278-xh4v
—tensorflow-gpu (PyPI)2.7.0 to before 2.7.12.7.1Patch availableGHSA-gf2j-f278-xh4v
  • 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-gf2j-f278-xh4v
  • tensorflow (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-gf2j-f278-xh4v
  • tensorflow (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-gf2j-f278-xh4v
  • tensorflow-cpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-gf2j-f278-xh4v
  • tensorflow-cpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-gf2j-f278-xh4v
  • tensorflow-cpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-gf2j-f278-xh4v
  • tensorflow-gpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-gf2j-f278-xh4v
  • tensorflow-gpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-gf2j-f278-xh4v
  • tensorflow-gpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-gf2j-f278-xh4v

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-gf2j-f278-xh4v tensorflow (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-gf2j-f278-xh4v tensorflow (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-gf2j-f278-xh4v tensorflow (PyPI) Fixed in 2.7.1 Advisory →
  • Fix · GHSA-gf2j-f278-xh4v tensorflow-cpu (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-gf2j-f278-xh4v tensorflow-cpu (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-gf2j-f278-xh4v tensorflow-cpu (PyPI) Fixed in 2.7.1 Advisory →
  • Fix · GHSA-gf2j-f278-xh4v tensorflow-gpu (PyPI) Fixed in 2.5.3 Advisory →
  • Fix · GHSA-gf2j-f278-xh4v tensorflow-gpu (PyPI) Fixed in 2.6.3 Advisory →
  • Fix · GHSA-gf2j-f278-xh4v tensorflow-gpu (PyPI) Fixed in 2.7.1 Advisory →

Timeline

  1. 2026-10-02 Threatist record created from CVE-2022-23557
  2. 2026-10-03 Alias added: GHSA-gf2j-f278-xh4v

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