AVID-2026-R0753

Description

Heap buffer overflow in SparseTensorToCSRSparseMatrix (CVE-2021-29545)

Details

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a CHECK-fail in converting sparse tensors to CSR Sparse matrices. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/800346f2c03a27e182dd4fba48295f65e7790739/tensorflow/core/kernels/sparse/kernels.cc#L66) does a double redirection to access an element of an array allocated on the heap. If the value at indices(i, 0) is such that indices(i, 0) + 1 is outside the bounds of csr_row_ptr, this results in writing outside of bounds of heap allocated data. 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 candidate describes a CVE affecting TensorFlow, an essential AI framework. It is a heap buffer overflow in SparseTensorToCSRSparseMatrix causing a local DoS, with patch information and affected versions. TensorFlow is a core component in AI model development and deployment stacks, so this is a software supply chain vulnerability in AI systems. The report provides explicit CVE details, impact, and remediation signals, satisfying evidence requirements.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hmg3-c7xj-6qwm
• https://github.com/tensorflow/tensorflow/commit/1e922ccdf6bf46a3a52641f99fd47d54c1decd13

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