TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.Conv2DBackpropInput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/b40060c9f697b044e3107917c797ba052f4506ab/tensorflow/core/kernels/conv_grad_input_ops.h#L625-L655) does a division by a quantity that 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.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/2be2cdf3a123e231b16f766aa0e27d56b4606535 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xm2v-8rrw-w9pm | Exploit Patch Third Party Advisory |
Configurations
Configuration 1 (hide)
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History
No history.
Information
Published : 2021-05-14 20:15
Updated : 2024-02-28 18:28
NVD link : CVE-2021-29525
Mitre link : CVE-2021-29525
CVE.ORG link : CVE-2021-29525
JSON object : View
Products Affected
- tensorflow
CWE
CWE-369
Divide By Zero