CVE-2023-25668
TensorFlow vulnerable to heap out-of-buffer read in the QuantizeAndDequantize operation
Description
TensorFlow is an open source platform for machine learning. Attackers using Tensorflow prior to 2.12.0 or 2.11.1 can access heap memory which is not in the control of user, leading to a crash or remote code execution. The fix will be included in TensorFlow version 2.12.0 and will also cherrypick this commit on TensorFlow version 2.11.1.
No summary for this CVE yet.
CVSS Vector Breakdown
Exploitability
AV:NAttack VectorNetwork
AC:LAttack ComplexityLow
PR:NPrivileges RequiredNone
UI:NUser InteractionNone
Scope
S:UScopeUnchanged
Impact
C:HConfidentialityHigh
I:HIntegrityHigh
A:HAvailabilityHigh
Weaknesses
Affected Products
and 2 more affected products View all →
Exploitability
Official Patch Available
Attack Graph
Products CVE Techniques Tactics
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MITRE ATT&CK
2 techniques Collection
Privilege Escalation
References
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gw97-ff7c-9v96
github.com
https://github.com/tensorflow/tensorflow/commit/7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb
github.com
https://nvd.nist.gov/vuln/detail/CVE-2023-25668
nvd.nist.gov
and 1 more references View all →
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