AVID-2026-R0761

Description

Division by 0 in FusedBatchNorm (CVE-2021-29555)

Details

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in tf.raw_ops.FusedBatchNorm. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/828f346274841fa7505f7020e88ca36c22e557ab/tensorflow/core/kernels/fused_batch_norm_op.cc#L295-L297) performs a division based on the last dimension of the x tensor. Since this is controlled by the user, an attacker can trigger a denial of service. 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.

Reason for inclusion in AVID: The CVE targets TensorFlow, an ML framework widely used in AI systems. It describes a denial-of-service vulnerability (division by zero) in a software component (FusedBatchNorm) that is part of the AI software stack. This is a vulnerability in a dependency used to build/run AI systems, i.e., a software supply-chain issue within GP AI contexts. The description provides explicit CVE details and references, confirming a security vulnerability with clear signal.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r35g-4525-29fq
• https://github.com/tensorflow/tensorflow/commit/1a2a87229d1d61e23a39373777c056161eb4084d

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: 2021-05-14
• Version: 0.3.3
• AVID Entry