CVE-2023-25668
CWE-122Published: March 25, 2023· Updated: Jun 17, 2026
Official 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.
Risk Analysis
TensorFlow versions prior to 2.12.0 and 2.11.1 contain a heap memory vulnerability that can lead to crashes or remote code execution. This critical flaw is rated 9.8.
No public exploit is currently known, and it is not in the CISA KEV. The vulnerability is remotely exploitable with low complexity.
Update TensorFlow to version 2.12.0 or 2.11.1 to apply the necessary security fixes.
Technical Analysis
CVE-2023-25668 can be exploited remotely over the network without requiring physical or adjacent access, significantly expanding the attack surface for threat actors.
The vulnerability requires no privileges and no user interaction, making it a prime target for automated exploitation campaigns and worm-like propagation.
A successful exploit results in complete confidentiality breach (data exposure), full integrity compromise (data manipulation), availability disruption (denial of service), with a CVSS base score of 9.8.
CVSS v3.1 Vector Breakdown
Affected Vendors & Products
Exploit & PoC Resources
Official Patches & Advisories
All References (4)
Quick Facts
Related CVEs (CWE-122)
Recommended Actions
- →Apply vendor patches immediately
- →Monitor CVE-2023-25668 in threat intel feeds
- →Review IDS/IPS signatures for exploitation attempts