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Vulnerability CVE-2021-29520
Published: 2021-05-14
Description: |
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. |
Type:
CWE-120 (Buffer Copy without Checking Size of Input ('Classic Buffer Overflow'))
CVSS2 => (AV:L/AC:L/Au:N/C:P/I:P/A:P)
CVSS Base Score |
Impact Subscore |
Exploitability Subscore |
4.6/10 |
6.4/10 |
3.9/10 |
Exploit range |
Attack complexity |
Authentication |
Local |
Low |
No required |
Confidentiality impact |
Integrity impact |
Availability impact |
Partial |
Partial |
Partial |
References: |
https://github.com/tensorflow/tensorflow/commit/8f37b52e1320d8d72a9529b2468277791a261197
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wcv5-qrj6-9pfm
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