Read the docs
TI-2020-11980 Aliases CVE-2020-15208GHSA-mxjj-953w-2c2v

Data corruption in tensorflow-lite

Priority MEDIUM 44CWE-125Published · Updated

Key facts

Attack vector
Network
Privileges required
None
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-787 and the CVSS impact.

Summary

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors. The issue is patched in commit 8ee24e7949a203d234489f9da2c5bf45a7d5157d, 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 0.00905 60th 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-mxjj-953w-2c2v
—tensorflow (PyPI)2.0.0 to before 2.0.32.0.3Patch availableGHSA-mxjj-953w-2c2v
—tensorflow (PyPI)2.1.0 to before 2.1.22.1.2Patch availableGHSA-mxjj-953w-2c2v
—tensorflow (PyPI)2.2.0 to before 2.2.12.2.1Patch availableGHSA-mxjj-953w-2c2v
—tensorflow (PyPI)2.3.0 to before 2.3.12.3.1Patch availableGHSA-mxjj-953w-2c2v
—tensorflow-cpu (PyPI)before 1.15.41.15.4Patch availableGHSA-mxjj-953w-2c2v
—tensorflow-cpu (PyPI)2.0.0 to before 2.0.32.0.3Patch availableGHSA-mxjj-953w-2c2v
—tensorflow-cpu (PyPI)2.1.0 to before 2.1.22.1.2Patch availableGHSA-mxjj-953w-2c2v
—tensorflow-cpu (PyPI)2.2.0 to before 2.2.12.2.1Patch availableGHSA-mxjj-953w-2c2v
—tensorflow-cpu (PyPI)2.3.0 to before 2.3.12.3.1Patch availableGHSA-mxjj-953w-2c2v
—tensorflow-gpu (PyPI)before 1.15.41.15.4Patch availableGHSA-mxjj-953w-2c2v
—tensorflow-gpu (PyPI)2.0.0 to before 2.0.32.0.3Patch availableGHSA-mxjj-953w-2c2v
—tensorflow-gpu (PyPI)2.1.0 to before 2.1.22.1.2Patch availableGHSA-mxjj-953w-2c2v
—tensorflow-gpu (PyPI)2.2.0 to before 2.2.12.2.1Patch availableGHSA-mxjj-953w-2c2v
—tensorflow-gpu (PyPI)2.3.0 to before 2.3.12.3.1Patch availableGHSA-mxjj-953w-2c2v
  • 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-mxjj-953w-2c2v
  • tensorflow (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-mxjj-953w-2c2v
  • tensorflow (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-mxjj-953w-2c2v
  • tensorflow (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-mxjj-953w-2c2v
  • tensorflow (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-mxjj-953w-2c2v
  • tensorflow-cpu (PyPI) Vendor— Affected before 1.15.4 Fixed in 1.15.4 Patch available GHSA-mxjj-953w-2c2v
  • tensorflow-cpu (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-mxjj-953w-2c2v
  • tensorflow-cpu (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-mxjj-953w-2c2v
  • tensorflow-cpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-mxjj-953w-2c2v
  • tensorflow-cpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-mxjj-953w-2c2v
  • tensorflow-gpu (PyPI) Vendor— Affected before 1.15.4 Fixed in 1.15.4 Patch available GHSA-mxjj-953w-2c2v
  • tensorflow-gpu (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-mxjj-953w-2c2v
  • tensorflow-gpu (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-mxjj-953w-2c2v
  • tensorflow-gpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-mxjj-953w-2c2v
  • tensorflow-gpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-mxjj-953w-2c2v

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-mxjj-953w-2c2v tensorflow (PyPI) Fixed in 1.15.4 Advisory →
  • Fix · GHSA-mxjj-953w-2c2v tensorflow (PyPI) Fixed in 2.0.3 Advisory →
  • Fix · GHSA-mxjj-953w-2c2v tensorflow (PyPI) Fixed in 2.1.2 Advisory →
  • Fix · GHSA-mxjj-953w-2c2v tensorflow (PyPI) Fixed in 2.2.1 Advisory →
  • Fix · GHSA-mxjj-953w-2c2v tensorflow (PyPI) Fixed in 2.3.1 Advisory →
  • Fix · GHSA-mxjj-953w-2c2v tensorflow-cpu (PyPI) Fixed in 1.15.4 Advisory →
  • Fix · GHSA-mxjj-953w-2c2v tensorflow-cpu (PyPI) Fixed in 2.0.3 Advisory →
  • Fix · GHSA-mxjj-953w-2c2v tensorflow-cpu (PyPI) Fixed in 2.1.2 Advisory →
  • Fix · GHSA-mxjj-953w-2c2v tensorflow-cpu (PyPI) Fixed in 2.2.1 Advisory →
  • Fix · GHSA-mxjj-953w-2c2v tensorflow-cpu (PyPI) Fixed in 2.3.1 Advisory →
  • Fix · GHSA-mxjj-953w-2c2v tensorflow-gpu (PyPI) Fixed in 1.15.4 Advisory →
  • Fix · GHSA-mxjj-953w-2c2v tensorflow-gpu (PyPI) Fixed in 2.0.3 Advisory →
  • Fix · GHSA-mxjj-953w-2c2v tensorflow-gpu (PyPI) Fixed in 2.1.2 Advisory →
  • Fix · GHSA-mxjj-953w-2c2v tensorflow-gpu (PyPI) Fixed in 2.2.1 Advisory →
  • Fix · GHSA-mxjj-953w-2c2v 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-2020-11977 Data leak in TensorflowPriority MEDIUM 44
    • TI-2020-11979 Segfault and data corruption in tensorflow-litePriority MEDIUM 41
    • TI-2020-11978 Denial of Service in TensorflowPriority MEDIUM 41

Timeline

  1. 2026-10-02 Threatist record created from CVE-2020-15208
  2. 2026-10-03 Alias added: GHSA-mxjj-953w-2c2v

References

  • 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