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CVE-2022-35974
Good to know:
Date: September 16, 2022
TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs for `input_min` or `input_max`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Language: Python
Severity Score
Related Resources (6)
Severity Score
Weakness Type (CWE)
Input Validation
CWE-20Insufficient Information
NVD-CWE-noinfoTop Fix
Upgrade Version
Upgrade to version tensorflow - 2.7.2,2.8.1,2.9.1,2.10.0, tensorflow-cpu - 2.7.2,2.8.1,2.9.1,2.10.0, tensorflow-gpu - 2.7.2,2.8.1,2.9.1,2.10.0
CVSS v3.1
Base Score: |
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Attack Vector (AV): | NETWORK |
Attack Complexity (AC): | HIGH |
Privileges Required (PR): | NONE |
User Interaction (UI): | NONE |
Scope (S): | UNCHANGED |
Confidentiality (C): | NONE |
Integrity (I): | NONE |
Availability (A): | HIGH |