CVE-2022-0736

Affects: MLflow

CVSS: HIGH · 7.5v3.1
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Published: 2022-02-23
Weakness: CWE-377, NVD-CWE-Other
Source: nvd.nist.gov/vuln/detail/CVE-2022-0736

Description

Insecure Temporary File in GitHub repository mlflow/mlflow prior to 1.23.1.

References

https://github.com/mlflow/mlflow/commit/61984e6843d2e59235d82a580c529920cd8f3711
https://huntr.dev/bounties/e5384764-c583-4dec-a1d8-4697f4e12f75
https://github.com/mlflow/mlflow/commit/61984e6843d2e59235d82a580c529920cd8f3711
https://huntr.dev/bounties/e5384764-c583-4dec-a1d8-4697f4e12f75

How GTK Cyber trains on this

AI security training at GTK Cyber covers the LLM and ML-pipeline vulnerability classes that vulnerabilities like CVE-2022-0736 fall into. Our hands-on courses are taught by Charles Givre and other practitioners who break and defend production AI systems.

AI Red-Teaming course →·Browse MITRE ATLAS techniques

Related AI/LLM CVEs

CVE-2026-2651(CRITICAL)
CVE-2026-2734(MEDIUM)
CVE-2026-2611(CRITICAL)
CVE-2026-4137(HIGH)
CVE-2026-2652(HIGH)
CVE-2026-2393(HIGH)
CVE-2026-2614(HIGH)
CVE-2026-33865(MEDIUM)

AI security training, taught by people who do the work.

Hands-on courses on adversarial AI, prompt injection, and ML pipeline security.

Explore AI Red-Teaming