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Vulnerability CVE-2021-29610
Published: 2021-05-14
Description: |
TensorFlow is an end-to-end open source platform for machine learning. The validation in `tf.raw_ops.QuantizeAndDequantizeV2` allows invalid values for `axis` argument:. The validation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L74-L77) uses `||` to mix two different conditions. If `axis_ < -1` the condition in `OP_REQUIRES` will still be true, but this value of `axis_` results in heap underflow. This allows attackers to read/write to other data on the heap. 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-665 (Improper Initialization)
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/security/advisories/GHSA-mq5c-prh3-3f3h
https://github.com/tensorflow/tensorflow/commit/c5b0d5f8ac19888e46ca14b0e27562e7fbbee9a9
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