Sploitus

CVE-2021-29576

No indexed exploits for CVE-2021-29576 yet

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 products
Tensorflow
Google Tensorflow
< 2.1.4, 2.2.3, 2.3.3, 2.4.2
Fix
Available
CVSS 3.1
7.8 HIGH
EPSS
0.2% (11th percentile)
Weakness
CWE-787, CWE-119
NVD status
Modified
Published
2021-05-14
CVE-2021-29576 at NVD
Authoritative description, scoring and affected products

No indexed exploits for CVE-2021-29576 yet

Our index is partial: it proves presence, never absence

No exploit for CVE-2021-29576 has been indexed yet. Our index is built from live traffic and upstream syncs, so this page can only say what it knows — not that no exploit exists.