AVID-2026-R0985

Description

CHECK-failures in binary ops in Tensorflow (CVE-2022-23583)

Details

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that any binary op would trigger CHECK failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the dtype no longer matches the dtype expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved. If Tin and Tout don’t match the type of data in out and input_* tensors then flat<*> would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a CHECK crash, hence a denial of service. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Reason for inclusion in AVID: CVE-2022-23583 describes a vulnerability in TensorFlow where a crafted SavedModel can trigger CHECK failures, leading to a denial of service. This affects an AI framework used to build/deploy ML systems, and involves processing of model artifacts and runtime components. As a vulnerability in a software dependency used in AI pipelines (not hardware/firmware), it is relevant to the AI supply chain (dependencies, runtimes, model-serving/tools). The report provides specific details, affected versions, and remediation, constituting sufficient evidence.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gjqc-q9g6-q2j3
• https://github.com/tensorflow/tensorflow/commit/a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9
• https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/kernels/cwise_ops_common.h#L88-L137

Affected or Relevant Artifacts

• Developer: tensorflow
• Deployer: tensorflow
• Artifact Details:

Impact

AVID Taxonomy Categorization

• Risk domains: Security
• SEP subcategories: S0100: Software Vulnerability
• Lifecycle stages: L06: Deployment

CVSS

CWE

Other information

• Report Type: Advisory
• Credits:
• Date Reported: 2022-02-04
• Version: 0.3.3
• AVID Entry