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TI-2020-11983 Aliases CVE-2020-15211GHSA-cvpc-8phh-8f45

Out of bounds access in tensorflow-lite

Priority LOW 24CWE-125Published · Updated

Key facts

Attack vector
Network
Privileges required
None
User interaction
None
Attack complexity
High
Impact type
—
Confidentiality · integrity · availability
Low · Low · None
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, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indices for the tensors, indexing into an array of tensors that is owned by the subgraph. This results in a pattern of double array indexing when trying to get the data of each tensor. However, some operators can have some tensors be optional. To handle this scenario, the flatbuffer model uses a negative `-1` value as index for these tensors. This results in special casing during validation at model loading time. Unfortunately, this means that the `-1` index is a valid tensor index for any operator, including those that don't expect optional inputs and including for output tensors. Thus, this allows writing and reading from outside the bounds of heap allocated arrays, although only at a specific offset from the start of these arrays. This results in both read and write gadgets, albeit very limited in scope. The issue is patched in several commits (46d5b0852, 00302787b7, e11f5558, cd31fd0ce, 1970c21, and fff2c83), and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to the model loading code to ensure that only operators which accept optional inputs use the `-1` special value and only for the tensors that they expect to be optional. Since this allow-list type approach is erro-prone, we advise upgrading to the patched code.

Why it matters now

EPSS 0.00917 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-cvpc-8phh-8f45
—tensorflow (PyPI)2.0.0 to before 2.0.32.0.3Patch availableGHSA-cvpc-8phh-8f45
—tensorflow (PyPI)2.1.0 to before 2.1.22.1.2Patch availableGHSA-cvpc-8phh-8f45
—tensorflow (PyPI)2.2.0 to before 2.2.12.2.1Patch availableGHSA-cvpc-8phh-8f45
—tensorflow (PyPI)2.3.0 to before 2.3.12.3.1Patch availableGHSA-cvpc-8phh-8f45
—tensorflow-cpu (PyPI)before 1.15.41.15.4Patch availableGHSA-cvpc-8phh-8f45
—tensorflow-cpu (PyPI)2.0.0 to before 2.0.32.0.3Patch availableGHSA-cvpc-8phh-8f45
—tensorflow-cpu (PyPI)2.1.0 to before 2.1.22.1.2Patch availableGHSA-cvpc-8phh-8f45
—tensorflow-cpu (PyPI)2.2.0 to before 2.2.12.2.1Patch availableGHSA-cvpc-8phh-8f45
—tensorflow-cpu (PyPI)2.3.0 to before 2.3.12.3.1Patch availableGHSA-cvpc-8phh-8f45
—tensorflow-gpu (PyPI)before 1.15.41.15.4Patch availableGHSA-cvpc-8phh-8f45
—tensorflow-gpu (PyPI)2.0.0 to before 2.0.32.0.3Patch availableGHSA-cvpc-8phh-8f45
—tensorflow-gpu (PyPI)2.1.0 to before 2.1.22.1.2Patch availableGHSA-cvpc-8phh-8f45
—tensorflow-gpu (PyPI)2.2.0 to before 2.2.12.2.1Patch availableGHSA-cvpc-8phh-8f45
—tensorflow-gpu (PyPI)2.3.0 to before 2.3.12.3.1Patch availableGHSA-cvpc-8phh-8f45
  • 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-cvpc-8phh-8f45
  • tensorflow (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-cvpc-8phh-8f45
  • tensorflow (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-cvpc-8phh-8f45
  • tensorflow (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-cvpc-8phh-8f45
  • tensorflow (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-cvpc-8phh-8f45
  • tensorflow-cpu (PyPI) Vendor— Affected before 1.15.4 Fixed in 1.15.4 Patch available GHSA-cvpc-8phh-8f45
  • tensorflow-cpu (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-cvpc-8phh-8f45
  • tensorflow-cpu (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-cvpc-8phh-8f45
  • tensorflow-cpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-cvpc-8phh-8f45
  • tensorflow-cpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-cvpc-8phh-8f45
  • tensorflow-gpu (PyPI) Vendor— Affected before 1.15.4 Fixed in 1.15.4 Patch available GHSA-cvpc-8phh-8f45
  • tensorflow-gpu (PyPI) Vendor— Affected 2.0.0 to before 2.0.3 Fixed in 2.0.3 Patch available GHSA-cvpc-8phh-8f45
  • tensorflow-gpu (PyPI) Vendor— Affected 2.1.0 to before 2.1.2 Fixed in 2.1.2 Patch available GHSA-cvpc-8phh-8f45
  • tensorflow-gpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-cvpc-8phh-8f45
  • tensorflow-gpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-cvpc-8phh-8f45

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-cvpc-8phh-8f45 tensorflow (PyPI) Fixed in 1.15.4 Advisory →
  • Fix · GHSA-cvpc-8phh-8f45 tensorflow (PyPI) Fixed in 2.0.3 Advisory →
  • Fix · GHSA-cvpc-8phh-8f45 tensorflow (PyPI) Fixed in 2.1.2 Advisory →
  • Fix · GHSA-cvpc-8phh-8f45 tensorflow (PyPI) Fixed in 2.2.1 Advisory →
  • Fix · GHSA-cvpc-8phh-8f45 tensorflow (PyPI) Fixed in 2.3.1 Advisory →
  • Fix · GHSA-cvpc-8phh-8f45 tensorflow-cpu (PyPI) Fixed in 1.15.4 Advisory →
  • Fix · GHSA-cvpc-8phh-8f45 tensorflow-cpu (PyPI) Fixed in 2.0.3 Advisory →
  • Fix · GHSA-cvpc-8phh-8f45 tensorflow-cpu (PyPI) Fixed in 2.1.2 Advisory →
  • Fix · GHSA-cvpc-8phh-8f45 tensorflow-cpu (PyPI) Fixed in 2.2.1 Advisory →
  • Fix · GHSA-cvpc-8phh-8f45 tensorflow-cpu (PyPI) Fixed in 2.3.1 Advisory →
  • Fix · GHSA-cvpc-8phh-8f45 tensorflow-gpu (PyPI) Fixed in 1.15.4 Advisory →
  • Fix · GHSA-cvpc-8phh-8f45 tensorflow-gpu (PyPI) Fixed in 2.0.3 Advisory →
  • Fix · GHSA-cvpc-8phh-8f45 tensorflow-gpu (PyPI) Fixed in 2.1.2 Advisory →
  • Fix · GHSA-cvpc-8phh-8f45 tensorflow-gpu (PyPI) Fixed in 2.2.1 Advisory →
  • Fix · GHSA-cvpc-8phh-8f45 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-2020-15211
  2. 2026-10-03 Alias added: GHSA-cvpc-8phh-8f45

References

Exploit 1

Patch 6

Advisory 3

Other 17

  • 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