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CVE-2021-41203
Good to know:
Date: November 5, 2021
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.
Language: C
Severity Score
Related Resources (7)
Severity Score
Weakness Type (CWE)
Top Fix
Upgrade Version
Upgrade to version tensorflow - 2.4.4, 2.5.2, 2.6.1, 2.7.0;tensorflow-cpu - 2.4.4, 2.5.2, 2.6.1, 2.7.0;tensorflow-gpu - 2.4.4, 2.5.2, 2.6.1, 2.7.0
CVSS v3.1
| Base Score: |
|
|---|---|
| Attack Vector (AV): | LOCAL |
| Attack Complexity (AC): | LOW |
| Privileges Required (PR): | LOW |
| User Interaction (UI): | NONE |
| Scope (S): | UNCHANGED |
| Confidentiality (C): | HIGH |
| Integrity (I): | HIGH |
| Availability (A): | HIGH |
CVSS v2
| Base Score: |
|
|---|---|
| Access Vector (AV): | LOCAL |
| Access Complexity (AC): | LOW |
| Authentication (AU): | NONE |
| Confidentiality (C): | PARTIAL |
| Integrity (I): | PARTIAL |
| Availability (A): | PARTIAL |
| Additional information: |