TI-2021-10320 Aliases CVE-2021-29612 GHSA-2xgj-xhgf-ggjv

Heap buffer overflow in `BandedTriangularSolve`

LOW 34CWE-120Published 2021-05-14 · Updated 2024-08-03

Key facts

Attack vector: Local
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-120 and the CVSS impact.

Summary

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a heap buffer overflow in Eigen implementation of `tf.raw_ops.BandedTriangularSolve`. The implementation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/linalg/banded_triangular_solve_op.cc#L269-L278) calls `ValidateInputTensors` for input validation but fails to validate that the two tensors are not empty. Furthermore, since `OP_REQUIRES` macro only stops execution of current function after setting `ctx->status()` to a non-OK value, callers of helper functions that use `OP_REQUIRES` must check value of `ctx->status()` before continuing. This doesn't happen in this op's implementation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/linalg/banded_triangular_solve_op.cc#L219), hence the validation that is present is also not effective. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Why it matters now

EPSS 0.00287 21st percentileScored 2026-11-07

Public exploit Yes 1 exploit referenceTagged by NVD

Fix Fixed tensorflow (tensorflow): 2.1.4, 2.2.3, 2.3.3 +1tensorflow (PyPI): 2.1.4, 2.2.3, 2.3.3 +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	before 2.1.4; 2.2.0 to before 2.2.3; 2.3.0 to before 2.3.3; 2.4.0 to before 2.4.2	2.1.4, 2.2.3, 2.3.3, 2.4.2	Patch available	CNA
—	tensorflow (PyPI)	before 2.1.4	2.1.4	Patch available	GHSA-2xgj-xhgf-ggjv
—	tensorflow (PyPI)	2.2.0 to before 2.2.3	2.2.3	Patch available	GHSA-2xgj-xhgf-ggjv
—	tensorflow (PyPI)	2.3.0 to before 2.3.3	2.3.3	Patch available	GHSA-2xgj-xhgf-ggjv
—	tensorflow (PyPI)	2.4.0 to before 2.4.2	2.4.2	Patch available	GHSA-2xgj-xhgf-ggjv
—	tensorflow-cpu (PyPI)	before 2.1.4	2.1.4	Patch available	GHSA-2xgj-xhgf-ggjv
—	tensorflow-cpu (PyPI)	2.2.0 to before 2.2.3	2.2.3	Patch available	GHSA-2xgj-xhgf-ggjv
—	tensorflow-cpu (PyPI)	2.3.0 to before 2.3.3	2.3.3	Patch available	GHSA-2xgj-xhgf-ggjv
—	tensorflow-cpu (PyPI)	2.4.0 to before 2.4.2	2.4.2	Patch available	GHSA-2xgj-xhgf-ggjv
—	tensorflow-gpu (PyPI)	before 2.1.4	2.1.4	Patch available	GHSA-2xgj-xhgf-ggjv
—	tensorflow-gpu (PyPI)	2.2.0 to before 2.2.3	2.2.3	Patch available	GHSA-2xgj-xhgf-ggjv
—	tensorflow-gpu (PyPI)	2.3.0 to before 2.3.3	2.3.3	Patch available	GHSA-2xgj-xhgf-ggjv
—	tensorflow-gpu (PyPI)	2.4.0 to before 2.4.2	2.4.2	Patch available	GHSA-2xgj-xhgf-ggjv

tensorflow VendorGoogle Affected before 2.1.4; 2.2.0 to before 2.2.3; 2.3.0 to before 2.3.3; 2.4.0 to before 2.4.2 Fixed in 2.1.4, 2.2.3, 2.3.3, 2.4.2 Patch available CNA
tensorflow (PyPI) Vendor— Affected before 2.1.4 Fixed in 2.1.4 Patch available GHSA-2xgj-xhgf-ggjv
tensorflow (PyPI) Vendor— Affected 2.2.0 to before 2.2.3 Fixed in 2.2.3 Patch available GHSA-2xgj-xhgf-ggjv
tensorflow (PyPI) Vendor— Affected 2.3.0 to before 2.3.3 Fixed in 2.3.3 Patch available GHSA-2xgj-xhgf-ggjv
tensorflow (PyPI) Vendor— Affected 2.4.0 to before 2.4.2 Fixed in 2.4.2 Patch available GHSA-2xgj-xhgf-ggjv
tensorflow-cpu (PyPI) Vendor— Affected before 2.1.4 Fixed in 2.1.4 Patch available GHSA-2xgj-xhgf-ggjv
tensorflow-cpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.3 Fixed in 2.2.3 Patch available GHSA-2xgj-xhgf-ggjv
tensorflow-cpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.3 Fixed in 2.3.3 Patch available GHSA-2xgj-xhgf-ggjv
tensorflow-cpu (PyPI) Vendor— Affected 2.4.0 to before 2.4.2 Fixed in 2.4.2 Patch available GHSA-2xgj-xhgf-ggjv
tensorflow-gpu (PyPI) Vendor— Affected before 2.1.4 Fixed in 2.1.4 Patch available GHSA-2xgj-xhgf-ggjv
tensorflow-gpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.3 Fixed in 2.2.3 Patch available GHSA-2xgj-xhgf-ggjv
tensorflow-gpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.3 Fixed in 2.3.3 Patch available GHSA-2xgj-xhgf-ggjv
tensorflow-gpu (PyPI) Vendor— Affected 2.4.0 to before 2.4.2 Fixed in 2.4.2 Patch available GHSA-2xgj-xhgf-ggjv

CPE configurations NVD · 1

CPE	Versions	Role	Vendor
cpe:2.3:a:google:tensorflow::::::::	before 2.1.4; 2.2.0 to before 2.2.3; 2.3.0 to before 2.3.3; 2.4.0 to before 2.4.2	Vulnerable	Google

cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* Versions before 2.1.4; 2.2.0 to before 2.2.3; 2.3.0 to before 2.3.3; 2.4.0 to before 2.4.2 Vulnerable ·Google

Remediation

Fix · CNA tensorflow (tensorflow) Fixed in 2.1.4, 2.2.3, 2.3.3, 2.4.2
Fix · GHSA-2xgj-xhgf-ggjv tensorflow (PyPI) Fixed in 2.1.4 Advisory →
Fix · GHSA-2xgj-xhgf-ggjv tensorflow (PyPI) Fixed in 2.2.3 Advisory →
Fix · GHSA-2xgj-xhgf-ggjv tensorflow (PyPI) Fixed in 2.3.3 Advisory →
Fix · GHSA-2xgj-xhgf-ggjv tensorflow (PyPI) Fixed in 2.4.2 Advisory →
Fix · GHSA-2xgj-xhgf-ggjv tensorflow-cpu (PyPI) Fixed in 2.1.4 Advisory →
Fix · GHSA-2xgj-xhgf-ggjv tensorflow-cpu (PyPI) Fixed in 2.2.3 Advisory →
Fix · GHSA-2xgj-xhgf-ggjv tensorflow-cpu (PyPI) Fixed in 2.3.3 Advisory →
Fix · GHSA-2xgj-xhgf-ggjv tensorflow-cpu (PyPI) Fixed in 2.4.2 Advisory →
Fix · GHSA-2xgj-xhgf-ggjv tensorflow-gpu (PyPI) Fixed in 2.1.4 Advisory →
Fix · GHSA-2xgj-xhgf-ggjv tensorflow-gpu (PyPI) Fixed in 2.2.3 Advisory →
Fix · GHSA-2xgj-xhgf-ggjv tensorflow-gpu (PyPI) Fixed in 2.3.3 Advisory →
Fix · GHSA-2xgj-xhgf-ggjv tensorflow-gpu (PyPI) Fixed in 2.4.2 Advisory →

Timeline

2026-10-02 Threatist record created from CVE-2021-29612
2026-10-03 Alias added: GHSA-2xgj-xhgf-ggjv

References

Exploit 1

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2xgj-xhgf-ggjv

Patch 2

Advisory 1

https://nvd.nist.gov/vuln/detail/CVE-2021-29612

Other 3

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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