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TI-2021-15515 Aliases CVE-2021-37640GHSA-95xm-g58g-3p88

Integer division by 0 in sparse reshaping in TensorFlow

Priority LOW 24CWE-369Published · Updated

Key facts

Attack vector
Local
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 end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.SparseReshape` can be made to trigger an integral division by 0 exception. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L176-L181) calls the reshaping functor whenever there is at least an index in the input but does not check that shape of the input or the target shape have both a non-zero number of elements. The [reshape functor](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L40-L78) blindly divides by the dimensions of the target shape. Hence, if this is not checked, code will result in a division by 0. We have patched the issue in GitHub commit 4923de56ec94fff7770df259ab7f2288a74feb41. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1 as this is the other affected version.

Why it matters now

EPSS 0.00152 4th percentileScored 2026-11-07
Fix Fixed tensorflow (tensorflow): 2.5.1tensorflow (PyPI): 2.3.4, 2.4.3, 2.5.1+2 more products

SSVC decision points

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

Affected products

VendorProductAffected versionsFixed inStatusSource
Googletensorflowbefore 2.5.12.5.1Patch availableCNA
—tensorflow (PyPI)before 2.3.42.3.4Patch availableGHSA-95xm-g58g-3p88
—tensorflow (PyPI)2.4.0 to before 2.4.32.4.3Patch availableGHSA-95xm-g58g-3p88
—tensorflow (PyPI)2.5.0 to before 2.5.12.5.1Patch availableGHSA-95xm-g58g-3p88
—tensorflow-cpu (PyPI)before 2.3.42.3.4Patch availableGHSA-95xm-g58g-3p88
—tensorflow-cpu (PyPI)2.4.0 to before 2.4.32.4.3Patch availableGHSA-95xm-g58g-3p88
—tensorflow-cpu (PyPI)2.5.0 to before 2.5.12.5.1Patch availableGHSA-95xm-g58g-3p88
—tensorflow-gpu (PyPI)before 2.3.42.3.4Patch availableGHSA-95xm-g58g-3p88
—tensorflow-gpu (PyPI)2.4.0 to before 2.4.32.4.3Patch availableGHSA-95xm-g58g-3p88
—tensorflow-gpu (PyPI)2.5.0 to before 2.5.12.5.1Patch availableGHSA-95xm-g58g-3p88
  • tensorflow VendorGoogle Affected before 2.5.1 Fixed in 2.5.1 Patch available CNA
  • tensorflow (PyPI) Vendor— Affected before 2.3.4 Fixed in 2.3.4 Patch available GHSA-95xm-g58g-3p88
  • tensorflow (PyPI) Vendor— Affected 2.4.0 to before 2.4.3 Fixed in 2.4.3 Patch available GHSA-95xm-g58g-3p88
  • tensorflow (PyPI) Vendor— Affected 2.5.0 to before 2.5.1 Fixed in 2.5.1 Patch available GHSA-95xm-g58g-3p88
  • tensorflow-cpu (PyPI) Vendor— Affected before 2.3.4 Fixed in 2.3.4 Patch available GHSA-95xm-g58g-3p88
  • tensorflow-cpu (PyPI) Vendor— Affected 2.4.0 to before 2.4.3 Fixed in 2.4.3 Patch available GHSA-95xm-g58g-3p88
  • tensorflow-cpu (PyPI) Vendor— Affected 2.5.0 to before 2.5.1 Fixed in 2.5.1 Patch available GHSA-95xm-g58g-3p88
  • tensorflow-gpu (PyPI) Vendor— Affected before 2.3.4 Fixed in 2.3.4 Patch available GHSA-95xm-g58g-3p88
  • tensorflow-gpu (PyPI) Vendor— Affected 2.4.0 to before 2.4.3 Fixed in 2.4.3 Patch available GHSA-95xm-g58g-3p88
  • tensorflow-gpu (PyPI) Vendor— Affected 2.5.0 to before 2.5.1 Fixed in 2.5.1 Patch available GHSA-95xm-g58g-3p88

CPE configurations NVD · 5

CPEVersionsRoleVendor
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*2.3.0 to before 2.3.4; 2.4.0 to before 2.4.3VulnerableGoogle
cpe:2.3:a:google:tensorflow:2.5.0:*:*:*:*:*:*:*2.5.0VulnerableGoogle
cpe:2.3:a:google:tensorflow:2.6.0:rc0:*:*:*:*:*:*2.6.0 rc0VulnerableGoogle
cpe:2.3:a:google:tensorflow:2.6.0:rc1:*:*:*:*:*:*2.6.0 rc1VulnerableGoogle
cpe:2.3:a:google:tensorflow:2.6.0:rc2:*:*:*:*:*:*2.6.0 rc2VulnerableGoogle
  • cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* Versions 2.3.0 to before 2.3.4; 2.4.0 to before 2.4.3 Vulnerable ·Google
  • cpe:2.3:a:google:tensorflow:2.5.0:*:*:*:*:*:*:* Versions 2.5.0 Vulnerable ·Google
  • cpe:2.3:a:google:tensorflow:2.6.0:rc0:*:*:*:*:*:* Versions 2.6.0 rc0 Vulnerable ·Google
  • cpe:2.3:a:google:tensorflow:2.6.0:rc1:*:*:*:*:*:* Versions 2.6.0 rc1 Vulnerable ·Google
  • cpe:2.3:a:google:tensorflow:2.6.0:rc2:*:*:*:*:*:* Versions 2.6.0 rc2 Vulnerable ·Google

Remediation

  • Fix · CNA tensorflow (tensorflow) Fixed in 2.5.1
  • Fix · GHSA-95xm-g58g-3p88 tensorflow (PyPI) Fixed in 2.3.4 Advisory →
  • Fix · GHSA-95xm-g58g-3p88 tensorflow (PyPI) Fixed in 2.4.3 Advisory →
  • Fix · GHSA-95xm-g58g-3p88 tensorflow (PyPI) Fixed in 2.5.1 Advisory →
  • Fix · GHSA-95xm-g58g-3p88 tensorflow-cpu (PyPI) Fixed in 2.3.4 Advisory →
  • Fix · GHSA-95xm-g58g-3p88 tensorflow-cpu (PyPI) Fixed in 2.4.3 Advisory →
  • Fix · GHSA-95xm-g58g-3p88 tensorflow-cpu (PyPI) Fixed in 2.5.1 Advisory →
  • Fix · GHSA-95xm-g58g-3p88 tensorflow-gpu (PyPI) Fixed in 2.3.4 Advisory →
  • Fix · GHSA-95xm-g58g-3p88 tensorflow-gpu (PyPI) Fixed in 2.4.3 Advisory →
  • Fix · GHSA-95xm-g58g-3p88 tensorflow-gpu (PyPI) Fixed in 2.5.1 Advisory →

Timeline

  1. 2026-10-02 Threatist record created from CVE-2021-37640
  2. 2026-10-03 Alias added: GHSA-95xm-g58g-3p88

References

Patch 1

Advisory 2

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