TensorFlow is an end-to-end open source platform for machine learning. Missing validation between arguments to `tf.raw_ops.Conv3DBackprop*` operations can result in heap buffer overflows. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/4814fafb0ca6b5ab58a09411523b2193fed23fed/tensorflow/core/kernels/conv_grad_shape_utils.cc#L94-L153) assumes that the `input`, `filter_sizes` and `out_backprop` tensors have the same shape, as they are accessed in parallel. 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.
References
Link | Resource |
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https://github.com/tensorflow/tensorflow/commit/8f37b52e1320d8d72a9529b2468277791a261197 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wcv5-qrj6-9pfm | Exploit Patch Third Party Advisory |
Configurations
Configuration 1 (hide)
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Information
Published : 2021-05-14 13:15
Updated : 2022-04-25 13:03
NVD link : CVE-2021-29520
Mitre link : CVE-2021-29520
JSON object : View
CWE
CWE-787
Out-of-bounds Write
Products Affected
- tensorflow