What’s Vulnerable › Vulnerabilities

CVE-2022-41889: Segfault via invalid attributes in `pywrap_tfe_src.cc` in Tensorflow

• Severity: high (CVSS 7.5 v3.1)
• Exploited in the wild: not listed in CISA KEV
• EPSS: 0.5% probability of exploitation in the next 30 days
• Public exploit or detection template: yes
• Published: 2022-11-18 · updated 2026-06-17
• Weakness: CWE-476

Description

TensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a `nullptr`, which is not caught. An example can be seen in `tf.compat.v1.extract_volume_patches` by passing in quantized tensors as input `ksizes`. We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Affected products

• tensorflow: before 2.8.4; from 2.9.0 before 2.9.3; from 2.10.0 before 2.10.1 — fixed in 2.10.1, 2.8.4, 2.9.3

How to fix

Upgrade to a fixed version: tensorflow 2.10.1, 2.8.4, 2.9.3. Check the vendor advisory for mitigations.

References

• https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/generate_box_proposals_op.cu.cc
• https://github.com/tensorflow/tensorflow/commit/e9e95553e5411834d215e6770c81a83a3d0866ce
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xxcj-rhqg-m46g
• https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/generate_box_proposals_op.cu.cc
• https://github.com/tensorflow/tensorflow/commit/e9e95553e5411834d215e6770c81a83a3d0866ce
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xxcj-rhqg-m46g

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