CVE-2023-25668PYSEC-2026-550BIT-TENSORFLOW-2023-25668GHSA-GW97-FF7C-9V96PYSEC-2026-548PYSEC-2026-549
TensorFlow vulnerable to heap out-of-buffer read in the QuantizeAndDequantize operation
- Published
- Last modified
- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean? →
- published
- Whether CISA lists it in its Known Exploited Vulnerabilities catalog: proof that attackers are using it.What do these mean? →
- Not listed in CISA KEV
- Fix
- Fixed in 2.11.1
- Whether working attack code is public (Exploit-DB, Metasploit, Nuclei or GitHub). Public code makes attacks easier.What do these mean? →
- None on Exploit-DB, Metasploit or GitHub
CISA's decision points: whether it is exploited, whether attacks can be automated, and how much control an attacker gets. Assessed (SSVC 2.0.3).What do these mean? →
- Exploitation: none
- Automatable: yes
- Technical impact: total
Summary
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.
Timeline
- CVE published
- CISA SSVC assessment
Exploitation: none · Automatable: yes · Technical impact: total
- Record last updated
Affected versions
- tensorflow tensorflow
fixed in 2.11.1
- tensorflow-gpuPyPI
fixed in 2.11.1
- tensorflowPyPI
fixed in 2.11.1
- tensorflow-cpuPyPI
fixed in 2.11.1