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TI-2020-11967 Aliases CVE-2020-15195GHSA-63xm-rx5p-xvqr

Heap buffer overflow in Tensorflow

Priority MEDIUM 40CWE-119Published · Updated

Key facts

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

Attack profile from CVSS 3.1 · NVD. Fix status from CNA and GitHub. Impact type from CWE-119 and the CVSS impact.

Summary

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of `SparseFillEmptyRowsGrad` uses a double indexing pattern. It is possible for `reverse_index_map(i)` to be an index outside of bounds of `grad_values`, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Why it matters now

EPSS 0.0095 61st 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-63xm-rx5p-xvqr
—tensorflow (PyPI)2.0.0 to before 2.0.32.0.3Patch availableGHSA-63xm-rx5p-xvqr
—tensorflow (PyPI)2.1.0 to before 2.1.22.1.2Patch availableGHSA-63xm-rx5p-xvqr
—tensorflow (PyPI)2.2.0 to before 2.2.12.2.1Patch availableGHSA-63xm-rx5p-xvqr
—tensorflow (PyPI)2.3.0 to before 2.3.12.3.1Patch availableGHSA-63xm-rx5p-xvqr
—tensorflow-cpu (PyPI)before 1.15.41.15.4Patch availableGHSA-63xm-rx5p-xvqr
—tensorflow-cpu (PyPI)2.0.0 to before 2.0.32.0.3Patch availableGHSA-63xm-rx5p-xvqr
—tensorflow-cpu (PyPI)2.1.0 to before 2.1.22.1.2Patch availableGHSA-63xm-rx5p-xvqr
—tensorflow-cpu (PyPI)2.2.0 to before 2.2.12.2.1Patch availableGHSA-63xm-rx5p-xvqr
—tensorflow-cpu (PyPI)2.3.0 to before 2.3.12.3.1Patch availableGHSA-63xm-rx5p-xvqr
—tensorflow-gpu (PyPI)before 1.15.41.15.4Patch availableGHSA-63xm-rx5p-xvqr
—tensorflow-gpu (PyPI)2.0.0 to before 2.0.32.0.3Patch availableGHSA-63xm-rx5p-xvqr
—tensorflow-gpu (PyPI)2.1.0 to before 2.1.22.1.2Patch availableGHSA-63xm-rx5p-xvqr
—tensorflow-gpu (PyPI)2.2.0 to before 2.2.12.2.1Patch availableGHSA-63xm-rx5p-xvqr
—tensorflow-gpu (PyPI)2.3.0 to before 2.3.12.3.1Patch availableGHSA-63xm-rx5p-xvqr
  • 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-63xm-rx5p-xvqr
  • tensorflow (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-63xm-rx5p-xvqr
  • tensorflow (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-63xm-rx5p-xvqr
  • tensorflow (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-63xm-rx5p-xvqr
  • tensorflow (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-63xm-rx5p-xvqr
  • tensorflow-cpu (PyPI) Vendor— Affected before 1.15.4 Fixed in 1.15.4 Patch available GHSA-63xm-rx5p-xvqr
  • tensorflow-cpu (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-63xm-rx5p-xvqr
  • tensorflow-cpu (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-63xm-rx5p-xvqr
  • tensorflow-cpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-63xm-rx5p-xvqr
  • tensorflow-cpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-63xm-rx5p-xvqr
  • tensorflow-gpu (PyPI) Vendor— Affected before 1.15.4 Fixed in 1.15.4 Patch available GHSA-63xm-rx5p-xvqr
  • tensorflow-gpu (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-63xm-rx5p-xvqr
  • tensorflow-gpu (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-63xm-rx5p-xvqr
  • tensorflow-gpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-63xm-rx5p-xvqr
  • tensorflow-gpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-63xm-rx5p-xvqr

CPE configurations NVD · 2

CPEVersionsRoleVendor
cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*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:*:*:*:*:-:*:*:* 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-63xm-rx5p-xvqr tensorflow (PyPI) Fixed in 1.15.4 Advisory →
  • Fix · GHSA-63xm-rx5p-xvqr tensorflow (PyPI) Fixed in 2.0.3 Advisory →
  • Fix · GHSA-63xm-rx5p-xvqr tensorflow (PyPI) Fixed in 2.1.2 Advisory →
  • Fix · GHSA-63xm-rx5p-xvqr tensorflow (PyPI) Fixed in 2.2.1 Advisory →
  • Fix · GHSA-63xm-rx5p-xvqr tensorflow (PyPI) Fixed in 2.3.1 Advisory →
  • Fix · GHSA-63xm-rx5p-xvqr tensorflow-cpu (PyPI) Fixed in 1.15.4 Advisory →
  • Fix · GHSA-63xm-rx5p-xvqr tensorflow-cpu (PyPI) Fixed in 2.0.3 Advisory →
  • Fix · GHSA-63xm-rx5p-xvqr tensorflow-cpu (PyPI) Fixed in 2.1.2 Advisory →
  • Fix · GHSA-63xm-rx5p-xvqr tensorflow-cpu (PyPI) Fixed in 2.2.1 Advisory →
  • Fix · GHSA-63xm-rx5p-xvqr tensorflow-cpu (PyPI) Fixed in 2.3.1 Advisory →
  • Fix · GHSA-63xm-rx5p-xvqr tensorflow-gpu (PyPI) Fixed in 1.15.4 Advisory →
  • Fix · GHSA-63xm-rx5p-xvqr tensorflow-gpu (PyPI) Fixed in 2.0.3 Advisory →
  • Fix · GHSA-63xm-rx5p-xvqr tensorflow-gpu (PyPI) Fixed in 2.1.2 Advisory →
  • Fix · GHSA-63xm-rx5p-xvqr tensorflow-gpu (PyPI) Fixed in 2.2.1 Advisory →
  • Fix · GHSA-63xm-rx5p-xvqr 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-2020-15195
  2. 2026-10-03 Alias added: GHSA-63xm-rx5p-xvqr

References

Exploit 1

Patch 1

Advisory 3

Other 4

  • 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