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Vulnerability CVE-2021-29524
Published: 2021-05-14
Description: |
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.Conv2DBackpropFilter`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/496c2630e51c1a478f095b084329acedb253db6b/tensorflow/core/kernels/conv_grad_shape_utils.cc#L130) does a modulus operation where the divisor is controlled by the caller. 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-369 (Divide By Zero)
CVSS2 => (AV:L/AC:L/Au:N/C:N/I:N/A:P)
CVSS Base Score |
Impact Subscore |
Exploitability Subscore |
2.1/10 |
2.9/10 |
3.9/10 |
Exploit range |
Attack complexity |
Authentication |
Local |
Low |
No required |
Confidentiality impact |
Integrity impact |
Availability impact |
None |
None |
Partial |
References: |
https://github.com/tensorflow/tensorflow/commit/fca9874a9b42a2134f907d2fb46ab774a831404a
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r4pj-74mg-8868
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