TI-2021-15535 Aliases CVE-2021-37660 GHSA-cm5x-837x-jf3c

Division by 0 in inplace operations in TensorFlow

LOW 24CWE-369Published 2021-08-12 · Updated 2024-08-04

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 an attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/inplace_ops.cc#L283) has a logic error: it should skip processing if `x` and `v` are empty but the code uses `||` instead of `&&`. We have patched the issue in GitHub commit e86605c0a336c088b638da02135ea6f9f6753618. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Why it matters now

EPSS 0.00154 4th percentileScored 2026-11-07

Fix Fixed tensorflow (tensorflow): 2.5.1, 2.4.3, 2.3.4tensorflow (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

Vendor	Product	Affected versions	Fixed in	Status	Source
Google	tensorflow	2.5.0 to before 2.5.1; 2.4.0 to before 2.4.3; before 2.3.4	2.5.1, 2.4.3, 2.3.4	Patch available	CNA
—	tensorflow (PyPI)	before 2.3.4	2.3.4	Patch available	GHSA-cm5x-837x-jf3c
—	tensorflow (PyPI)	2.4.0 to before 2.4.3	2.4.3	Patch available	GHSA-cm5x-837x-jf3c
—	tensorflow (PyPI)	2.5.0 to before 2.5.1	2.5.1	Patch available	GHSA-cm5x-837x-jf3c
—	tensorflow-cpu (PyPI)	before 2.3.4	2.3.4	Patch available	GHSA-cm5x-837x-jf3c
—	tensorflow-cpu (PyPI)	2.4.0 to before 2.4.3	2.4.3	Patch available	GHSA-cm5x-837x-jf3c
—	tensorflow-cpu (PyPI)	2.5.0 to before 2.5.1	2.5.1	Patch available	GHSA-cm5x-837x-jf3c
—	tensorflow-gpu (PyPI)	before 2.3.4	2.3.4	Patch available	GHSA-cm5x-837x-jf3c
—	tensorflow-gpu (PyPI)	2.4.0 to before 2.4.3	2.4.3	Patch available	GHSA-cm5x-837x-jf3c
—	tensorflow-gpu (PyPI)	2.5.0 to before 2.5.1	2.5.1	Patch available	GHSA-cm5x-837x-jf3c

tensorflow VendorGoogle Affected 2.5.0 to before 2.5.1; 2.4.0 to before 2.4.3; before 2.3.4 Fixed in 2.5.1, 2.4.3, 2.3.4 Patch available CNA
tensorflow (PyPI) Vendor— Affected before 2.3.4 Fixed in 2.3.4 Patch available GHSA-cm5x-837x-jf3c
tensorflow (PyPI) Vendor— Affected 2.4.0 to before 2.4.3 Fixed in 2.4.3 Patch available GHSA-cm5x-837x-jf3c
tensorflow (PyPI) Vendor— Affected 2.5.0 to before 2.5.1 Fixed in 2.5.1 Patch available GHSA-cm5x-837x-jf3c
tensorflow-cpu (PyPI) Vendor— Affected before 2.3.4 Fixed in 2.3.4 Patch available GHSA-cm5x-837x-jf3c
tensorflow-cpu (PyPI) Vendor— Affected 2.4.0 to before 2.4.3 Fixed in 2.4.3 Patch available GHSA-cm5x-837x-jf3c
tensorflow-cpu (PyPI) Vendor— Affected 2.5.0 to before 2.5.1 Fixed in 2.5.1 Patch available GHSA-cm5x-837x-jf3c
tensorflow-gpu (PyPI) Vendor— Affected before 2.3.4 Fixed in 2.3.4 Patch available GHSA-cm5x-837x-jf3c
tensorflow-gpu (PyPI) Vendor— Affected 2.4.0 to before 2.4.3 Fixed in 2.4.3 Patch available GHSA-cm5x-837x-jf3c
tensorflow-gpu (PyPI) Vendor— Affected 2.5.0 to before 2.5.1 Fixed in 2.5.1 Patch available GHSA-cm5x-837x-jf3c

CPE configurations NVD · 5

CPE	Versions	Role	Vendor
cpe:2.3:a:google:tensorflow::::::::	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:::::::*	2.5.0	Vulnerable	Google
cpe:2.3:a:google:tensorflow:2.6.0:rc0::::::	2.6.0 rc0	Vulnerable	Google
cpe:2.3:a:google:tensorflow:2.6.0:rc1::::::	2.6.0 rc1	Vulnerable	Google
cpe:2.3:a:google:tensorflow:2.6.0:rc2::::::	2.6.0 rc2	Vulnerable	Google

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, 2.4.3, 2.3.4
Fix · GHSA-cm5x-837x-jf3c tensorflow (PyPI) Fixed in 2.3.4 Advisory →
Fix · GHSA-cm5x-837x-jf3c tensorflow (PyPI) Fixed in 2.4.3 Advisory →
Fix · GHSA-cm5x-837x-jf3c tensorflow (PyPI) Fixed in 2.5.1 Advisory →
Fix · GHSA-cm5x-837x-jf3c tensorflow-cpu (PyPI) Fixed in 2.3.4 Advisory →
Fix · GHSA-cm5x-837x-jf3c tensorflow-cpu (PyPI) Fixed in 2.4.3 Advisory →
Fix · GHSA-cm5x-837x-jf3c tensorflow-cpu (PyPI) Fixed in 2.5.1 Advisory →
Fix · GHSA-cm5x-837x-jf3c tensorflow-gpu (PyPI) Fixed in 2.3.4 Advisory →
Fix · GHSA-cm5x-837x-jf3c tensorflow-gpu (PyPI) Fixed in 2.4.3 Advisory →
Fix · GHSA-cm5x-837x-jf3c tensorflow-gpu (PyPI) Fixed in 2.5.1 Advisory →

Timeline

2026-10-02 Threatist record created from CVE-2021-37660
2026-10-03 Alias added: GHSA-cm5x-837x-jf3c

References

Patch 1

https://github.com/tensorflow/tensorflow/commit/e86605c0a336c088b638da02135ea6f9f6753618

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

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