🛡️ CVE-2021-29576 — tensorflow
Description
Heap buffer overflow in MaxPool3DGradGrad
TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.raw_ops.MaxPool3DGradGrad is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/596c05a159b6fbb9e39ca10b3f7753b7244fa1e9/tensorflow/core/kernels/pooling_ops_3d.cc#L694-L696) does not check that the initialization of Pool3dParameters completes successfully. Since the constructor(https://github.com/tensorflow/tensorflow/blob/596c05a159b6fbb9e39ca10b3f7753b7244fa1e9/tensorflow/core/kernels/pooling_ops_3d.cc#L48-L88) uses OP_REQUIRES to validate conditions, the first assertion that fails interrupts the initialization of params, making it contain invalid data. In turn, this might cause a heap buffer overflow, depending on default initialized values. 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.
Affected software
CVE-2021-29576 is recorded against 1 package.
- tensorflow
Timeline and source
Published on 6 March 2024 and last revised on 20 May 2025. No public exploit is currently recorded for this entry. Record sourced from OSV.
References
Details
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| tensorflow | — | — |
References
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