| CVE-2021-29582 | Date: (C)2021-05-17 (M)2023-12-22 |
TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.Dequantize`, an attacker can trigger a read from outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/26003593aa94b1742f34dc22ce88a1e17776a67d/tensorflow/core/kernels/dequantize_op.cc#L106-L131) accesses the `min_range` and `max_range` tensors in parallel but fails to check that they have the same shape. 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.
CVSS Score and Metrics +CVSS Score and Metrics -| CVSS V3 Severity: | CVSS V2 Severity: |
| CVSS Score : 7.1 | CVSS Score : 3.6 |
| Exploit Score: 1.8 | Exploit Score: 3.9 |
| Impact Score: 5.2 | Impact Score: 4.9 |
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| CVSS V3 Metrics: | CVSS V2 Metrics: |
| Attack Vector: LOCAL | Access Vector: LOCAL |
| Attack Complexity: LOW | Access Complexity: LOW |
| Privileges Required: LOW | Authentication: NONE |
| User Interaction: NONE | Confidentiality: PARTIAL |
| Scope: UNCHANGED | Integrity: NONE |
| Confidentiality: HIGH | Availability: PARTIAL |
| Integrity: NONE | |
| Availability: HIGH | |
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