| CVE-2021-41203 | Date: (C)2021-11-09 (M)2023-12-22 |
TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behavior, integer overflows, segfaults and `CHECK`-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints loading infrastructure is missing validation for invalid file formats. The fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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 : 7.8 | CVSS Score : 4.6 |
| Exploit Score: 1.8 | Exploit Score: 3.9 |
| Impact Score: 5.9 | Impact Score: 6.4 |
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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: PARTIAL |
| Confidentiality: HIGH | Availability: PARTIAL |
| Integrity: HIGH | |
| Availability: HIGH | |
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