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CVE-2022-23595
February 04, 2022
Tensorflow is an Open Source Machine Learning Framework. When building an XLA compilation cache, if default settings are used, TensorFlow triggers a null pointer dereference. In the default scenario, all devices are allowed, so "flr->config_proto" is "nullptr". The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Affected Packages
tensorflow (PYTHON):
Affected version(s) >=2.6.0 <2.6.3
Fix Suggestion:
Update to version 2.6.3
tensorflow (PYTHON):
Affected version(s) >=0.11.0rc2 <2.5.3
Fix Suggestion:
Update to version 2.5.3
tensorflow-cpu (PYTHON):
Affected version(s) >=0.0.0 <2.5.3
Fix Suggestion:
Update to version 2.5.3
tensorflow-cpu (PYTHON):
Affected version(s) >=2.6.0 <2.6.3
Fix Suggestion:
Update to version 2.6.3
tensorflow (PYTHON):
Affected version(s) >=0.11.0rc2 <2.5.3
Fix Suggestion:
Update to version 2.5.3
tensorflow-cpu (PYTHON):
Affected version(s) =2.7.0 <2.7.1
Fix Suggestion:
Update to version 2.7.1
tensorflow-gpu (PYTHON):
Affected version(s) >=2.6.0 <2.6.3
Fix Suggestion:
Update to version 2.6.3
tensorflow-gpu (PYTHON):
Affected version(s) =2.7.0 <2.7.1
Fix Suggestion:
Update to version 2.7.1
tensorflow-cpu (PYTHON):
Affected version(s) >=2.6.0 <2.6.3
Fix Suggestion:
Update to version 2.6.3
tensorflow-gpu (PYTHON):
Affected version(s) >=0.12.0rc0 <2.5.3
Fix Suggestion:
Update to version 2.5.3
tensorflow-gpu (PYTHON):
Affected version(s) >=0.12.0rc0 <2.5.3
Fix Suggestion:
Update to version 2.5.3
tensorflow-cpu (PYTHON):
Affected version(s) >=0.0.0 <2.5.3
Fix Suggestion:
Update to version 2.5.3
tensorflow-gpu (PYTHON):
Affected version(s) =2.7.0 <2.7.1
Fix Suggestion:
Update to version 2.7.1
tensorflow (PYTHON):
Affected version(s) =2.7.0 <2.7.1
Fix Suggestion:
Update to version 2.7.1
tensorflow (PYTHON):
Affected version(s) =2.7.0 <2.7.1
Fix Suggestion:
Update to version 2.7.1
tensorflow-gpu (PYTHON):
Affected version(s) >=2.6.0 <2.6.3
Fix Suggestion:
Update to version 2.6.3
tensorflow (PYTHON):
Affected version(s) >=2.6.0 <2.6.3
Fix Suggestion:
Update to version 2.6.3
tensorflow-cpu (PYTHON):
Affected version(s) =2.7.0 <2.7.1
Fix Suggestion:
Update to version 2.7.1
Additional Notes
The description of this vulnerability differs from MITRE.
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CVSS v4
Base Score:
6
Attack Vector
NETWORK
Attack Complexity
HIGH
Attack Requirements
NONE
Privileges Required
LOW
User Interaction
NONE
Vulnerable System Confidentiality
NONE
Vulnerable System Integrity
NONE
Vulnerable System Availability
HIGH
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
5.3
Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
NONE
Integrity
NONE
Availability
HIGH
CVSS v2
Base Score:
4
Access Vector
NETWORK
Access Complexity
LOW
Authentication
SINGLE
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
PARTIAL
Weakness Type (CWE)
NULL Pointer Dereference
EPSS
Base Score:
0.22