AVID-2026-R0775

Description

Heap out of bounds read in MaxPoolGradWithArgmax (CVE-2021-29570)

Details

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.raw_ops.MaxPoolGradWithArgmax can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/ef0c008ee84bad91ec6725ddc42091e19a30cf0e/tensorflow/core/kernels/maxpooling_op.cc#L1016-L1017) uses the same value to index in two different arrays but there is no guarantee that the sizes are identical. 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: CVE-2021-29570 describes a heap out-of-bounds read in TensorFlow’s MaxPoolGradWithArgmax, a software vulnerability in a library commonly used to build/train/deploy AI systems. This is a software supply-chain issue since TensorFlow is a dependency/framework integral to AI pipelines. It is AI-related (ML framework) and security/safety vuln (memory access vulnerability). Sufficient evidence is provided via the CVE entry and related advisories/commits showing affected versions and remediation. Hardware/firmware-only scope is not applicable here.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-545v-42p7-98fq
• https://github.com/tensorflow/tensorflow/commit/dcd7867de0fea4b72a2b34bd41eb74548dc23886

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