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TI-2020-11982 Aliases CVE-2020-15210GHSA-x9j7-x98r-r4w2

Segmentation fault in tensorflow-lite

Priority LOW 30CWE-20Published · Updated

Key facts

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

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

Summary

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Why it matters now

EPSS 0.00739 54th percentileScored 2026-11-07
Public exploit Yes 1 exploit referenceTagged by NVD
Fix Fixed tensorflow (tensorflow): 1.15.4, 2.0.3, 2.1.2 +2tensorflow (PyPI): 1.15.4, 2.0.3, 2.1.2 +2+2 more products

SSVC decision points

Not available: CISA has not published SSVC decision points for this record.

Affected products

VendorProductAffected versionsFixed inStatusSource
Googletensorflowbefore 1.15.4; 2.0.0 to before 2.0.3; 2.1.0 to before 2.1.2; 2.2.0 to before 2.2.1; 2.3.0 to before 2.3.11.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1Patch availableCNA
—tensorflow (PyPI)before 1.15.41.15.4Patch availableGHSA-x9j7-x98r-r4w2
—tensorflow (PyPI)2.0.0 to before 2.0.32.0.3Patch availableGHSA-x9j7-x98r-r4w2
—tensorflow (PyPI)2.1.0 to before 2.1.22.1.2Patch availableGHSA-x9j7-x98r-r4w2
—tensorflow (PyPI)2.2.0 to before 2.2.12.2.1Patch availableGHSA-x9j7-x98r-r4w2
—tensorflow (PyPI)2.3.0 to before 2.3.12.3.1Patch availableGHSA-x9j7-x98r-r4w2
—tensorflow-cpu (PyPI)before 1.15.41.15.4Patch availableGHSA-x9j7-x98r-r4w2
—tensorflow-cpu (PyPI)2.0.0 to before 2.0.32.0.3Patch availableGHSA-x9j7-x98r-r4w2
—tensorflow-cpu (PyPI)2.1.0 to before 2.1.22.1.2Patch availableGHSA-x9j7-x98r-r4w2
—tensorflow-cpu (PyPI)2.2.0 to before 2.2.12.2.1Patch availableGHSA-x9j7-x98r-r4w2
—tensorflow-gpu (PyPI)before 1.15.41.15.4Patch availableGHSA-x9j7-x98r-r4w2
—tensorflow-gpu (PyPI)2.0.0 to before 2.0.32.0.3Patch availableGHSA-x9j7-x98r-r4w2
—tensorflow-gpu (PyPI)2.1.0 to before 2.1.22.1.2Patch availableGHSA-x9j7-x98r-r4w2
—tensorflow-gpu (PyPI)2.2.0 to before 2.2.12.2.1Patch availableGHSA-x9j7-x98r-r4w2
—tensorflow-cpu (PyPI)2.3.0 to before 2.3.12.3.1Patch availableGHSA-x9j7-x98r-r4w2
—tensorflow-gpu (PyPI)2.3.0 to before 2.3.12.3.1Patch availableGHSA-x9j7-x98r-r4w2
  • tensorflow VendorGoogle Affected before 1.15.4; 2.0.0 to before 2.0.3; 2.1.0 to before 2.1.2; 2.2.0 to before 2.2.1; 2.3.0 to before 2.3.1 Fixed in 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 Patch available CNA
  • tensorflow (PyPI) Vendor— Affected before 1.15.4 Fixed in 1.15.4 Patch available GHSA-x9j7-x98r-r4w2
  • tensorflow (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-x9j7-x98r-r4w2
  • tensorflow (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-x9j7-x98r-r4w2
  • tensorflow (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-x9j7-x98r-r4w2
  • tensorflow (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-x9j7-x98r-r4w2
  • tensorflow-cpu (PyPI) Vendor— Affected before 1.15.4 Fixed in 1.15.4 Patch available GHSA-x9j7-x98r-r4w2
  • tensorflow-cpu (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-x9j7-x98r-r4w2
  • tensorflow-cpu (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-x9j7-x98r-r4w2
  • tensorflow-cpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-x9j7-x98r-r4w2
  • tensorflow-gpu (PyPI) Vendor— Affected before 1.15.4 Fixed in 1.15.4 Patch available GHSA-x9j7-x98r-r4w2
  • tensorflow-gpu (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-x9j7-x98r-r4w2
  • tensorflow-gpu (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-x9j7-x98r-r4w2
  • tensorflow-gpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-x9j7-x98r-r4w2
  • tensorflow-cpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-x9j7-x98r-r4w2
  • tensorflow-gpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-x9j7-x98r-r4w2

CPE configurations NVD · 2

CPEVersionsRoleVendor
cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:*before 1.15.4; 2.0.0 to before 2.0.3; 2.1.0 to before 2.1.2; 2.2.0 to before 2.2.1; 2.3.0 to before 2.3.1VulnerableGoogle
cpe:2.3:o:opensuse:leap:15.2:*:*:*:*:*:*:*15.2VulnerableopenSUSE
  • cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:* Versions before 1.15.4; 2.0.0 to before 2.0.3; 2.1.0 to before 2.1.2; 2.2.0 to before 2.2.1; 2.3.0 to before 2.3.1 Vulnerable ·Google
  • cpe:2.3:o:opensuse:leap:15.2:*:*:*:*:*:*:* Versions 15.2 Vulnerable ·openSUSE

Remediation

  • Fix · CNA tensorflow (tensorflow) Fixed in 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1
  • Fix · GHSA-x9j7-x98r-r4w2 tensorflow (PyPI) Fixed in 1.15.4 Advisory →
  • Fix · GHSA-x9j7-x98r-r4w2 tensorflow (PyPI) Fixed in 2.0.3 Advisory →
  • Fix · GHSA-x9j7-x98r-r4w2 tensorflow (PyPI) Fixed in 2.1.2 Advisory →
  • Fix · GHSA-x9j7-x98r-r4w2 tensorflow (PyPI) Fixed in 2.2.1 Advisory →
  • Fix · GHSA-x9j7-x98r-r4w2 tensorflow (PyPI) Fixed in 2.3.1 Advisory →
  • Fix · GHSA-x9j7-x98r-r4w2 tensorflow-cpu (PyPI) Fixed in 1.15.4 Advisory →
  • Fix · GHSA-x9j7-x98r-r4w2 tensorflow-cpu (PyPI) Fixed in 2.0.3 Advisory →
  • Fix · GHSA-x9j7-x98r-r4w2 tensorflow-cpu (PyPI) Fixed in 2.1.2 Advisory →
  • Fix · GHSA-x9j7-x98r-r4w2 tensorflow-cpu (PyPI) Fixed in 2.2.1 Advisory →
  • Fix · GHSA-x9j7-x98r-r4w2 tensorflow-gpu (PyPI) Fixed in 1.15.4 Advisory →
  • Fix · GHSA-x9j7-x98r-r4w2 tensorflow-gpu (PyPI) Fixed in 2.0.3 Advisory →
  • Fix · GHSA-x9j7-x98r-r4w2 tensorflow-gpu (PyPI) Fixed in 2.1.2 Advisory →
  • Fix · GHSA-x9j7-x98r-r4w2 tensorflow-gpu (PyPI) Fixed in 2.2.1 Advisory →
  • Fix · GHSA-x9j7-x98r-r4w2 tensorflow-cpu (PyPI) Fixed in 2.3.1 Advisory →
  • Fix · GHSA-x9j7-x98r-r4w2 tensorflow-gpu (PyPI) Fixed in 2.3.1 Advisory →

Fixed in the same release

Records fixed by the same vendor advisory or release, as the CNA lists them.

  • Advisory ·

    tensorflow — openSUSE-SU-2020:1766

    16 records Highest priority Priority MEDIUM 6 MEDIUM, 10 LOW

    Other records, highest priority first

    • TI-2020-11980 Data corruption in tensorflow-litePriority MEDIUM 44
    • TI-2020-11977 Data leak in TensorflowPriority MEDIUM 44
    • TI-2020-11979 Segfault and data corruption in tensorflow-litePriority MEDIUM 41
    Show all 16 records → Advisory →

Timeline

  1. 2026-10-02 Threatist record created from CVE-2020-15210
  2. 2026-10-03 Alias added: GHSA-x9j7-x98r-r4w2

References

Exploit 1

Patch 1

Advisory 3

Other 9

  • 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