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Vulnerability CVE-2021-29537
Published: 2021-05-14
Description: |
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedResizeBilinear` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/50711818d2e61ccce012591eeb4fdf93a8496726/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L705-L706) assumes that the 2 arguments are always valid scalars and tries to access the numeric value directly. 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-787
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-8c89-2vwr-chcq
https://github.com/tensorflow/tensorflow/commit/f6c40f0c6cbf00d46c7717a26419f2062f2f8694
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