TI-2021-10229 Aliases CVE-2021-29521 GHSA-hr84-fqvp-48mm

Segfault in SparseCountSparseOutput

LOW 24CWE-131Published 2021-05-14 · Updated 2024-08-03

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 · NVD. Fix status from CNA and GitHub. Impact type from CWE-131 and the CVSS impact.

Summary

TensorFlow is an end-to-end open source platform for machine learning. Specifying a negative dense shape in `tf.raw_ops.SparseCountSparseOutput` results in a segmentation fault being thrown out from the standard library as `std::vector` invariants are broken. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/8f7b60ee8c0206a2c99802e3a4d1bb55d2bc0624/tensorflow/core/kernels/count_ops.cc#L199-L213) assumes the first element of the dense shape is always positive and uses it to initialize a `BatchedMap<T>` (i.e., `std::vector<absl::flat_hash_map<int64,T>>`(https://github.com/tensorflow/tensorflow/blob/8f7b60ee8c0206a2c99802e3a4d1bb55d2bc0624/tensorflow/core/kernels/count_ops.cc#L27)) data structure. If the `shape` tensor has more than one element, `num_batches` is the first value in `shape`. Ensuring that the `dense_shape` argument is a valid tensor shape (that is, all elements are non-negative) solves this issue. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3.

Why it matters now

EPSS 0.00189 8th percentileScored 2026-11-07

Public exploit Yes 1 exploit referenceTagged by NVD

Fix Fixed tensorflow (tensorflow): 2.3.3, 2.4.2tensorflow (PyPI): 2.3.3, 2.4.2+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 2.3.3; 2.4.0 to before 2.4.2	2.3.3, 2.4.2	Patch available	CNA
—	tensorflow (PyPI)	2.3.0 to before 2.3.3	2.3.3	Patch available	GHSA-hr84-fqvp-48mm
—	tensorflow (PyPI)	2.4.0 to before 2.4.2	2.4.2	Patch available	GHSA-hr84-fqvp-48mm
—	tensorflow-cpu (PyPI)	2.3.0 to before 2.3.3	2.3.3	Patch available	GHSA-hr84-fqvp-48mm
—	tensorflow-cpu (PyPI)	2.4.0 to before 2.4.2	2.4.2	Patch available	GHSA-hr84-fqvp-48mm
—	tensorflow-gpu (PyPI)	2.3.0 to before 2.3.3	2.3.3	Patch available	GHSA-hr84-fqvp-48mm
—	tensorflow-gpu (PyPI)	2.4.0 to before 2.4.2	2.4.2	Patch available	GHSA-hr84-fqvp-48mm

tensorflow VendorGoogle Affected before 2.3.3; 2.4.0 to before 2.4.2 Fixed in 2.3.3, 2.4.2 Patch available CNA
tensorflow (PyPI) Vendor— Affected 2.3.0 to before 2.3.3 Fixed in 2.3.3 Patch available GHSA-hr84-fqvp-48mm
tensorflow (PyPI) Vendor— Affected 2.4.0 to before 2.4.2 Fixed in 2.4.2 Patch available GHSA-hr84-fqvp-48mm
tensorflow-cpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.3 Fixed in 2.3.3 Patch available GHSA-hr84-fqvp-48mm
tensorflow-cpu (PyPI) Vendor— Affected 2.4.0 to before 2.4.2 Fixed in 2.4.2 Patch available GHSA-hr84-fqvp-48mm
tensorflow-gpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.3 Fixed in 2.3.3 Patch available GHSA-hr84-fqvp-48mm
tensorflow-gpu (PyPI) Vendor— Affected 2.4.0 to before 2.4.2 Fixed in 2.4.2 Patch available GHSA-hr84-fqvp-48mm

CPE configurations NVD · 1

CPE	Versions	Role	Vendor
cpe:2.3:a:google:tensorflow::::::::	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 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 2.3.3, 2.4.2
Fix · GHSA-hr84-fqvp-48mm tensorflow (PyPI) Fixed in 2.3.3 Advisory →
Fix · GHSA-hr84-fqvp-48mm tensorflow (PyPI) Fixed in 2.4.2 Advisory →
Fix · GHSA-hr84-fqvp-48mm tensorflow-cpu (PyPI) Fixed in 2.3.3 Advisory →
Fix · GHSA-hr84-fqvp-48mm tensorflow-cpu (PyPI) Fixed in 2.4.2 Advisory →
Fix · GHSA-hr84-fqvp-48mm tensorflow-gpu (PyPI) Fixed in 2.3.3 Advisory →
Fix · GHSA-hr84-fqvp-48mm tensorflow-gpu (PyPI) Fixed in 2.4.2 Advisory →

Timeline

2026-10-02 Threatist record created from CVE-2021-29521
2026-10-03 Alias added: GHSA-hr84-fqvp-48mm

References

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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