CVE-2026-96804
8.8 HIGHPublished 2026-09-23 · Updated 2026-09-24
AI risk analysis
- Summary
- The flaw allows a remote attacker to execute arbitrary code by exploiting the MLflow statsmodel flavor's lack of deserialization security control.
- Exploitability
- Exploitation requires a crafted MLmodel artifact, making it moderately difficult. The attacker must have the ability to deliver and deploy the artifact.
- Blast radius
- If exploited, the impact could be severe, as it allows remote code execution, potentially leading to full system compromise.
- Detection
- No reliable host or network indicator is derivable from the published description.
- Prioritized remediation
- Upgrade to MLflow versions 3.15.0 or later.
rcearbitrary-code-executionremotemlflow
Analysis generated locally by qwen2.5:7b-instruct (no data left the box). AI-assisted — verify against primary sources before acting.
NVD description
MLflow's statsmodel flavor, versions 2.1.0 to 3.14.0, omits the MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False security control entirely in _load_model(), which allows a remote attacker to execute arbitrary code via a crafted MLmodel artifact.
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Weaknesses
CWE-502
All references
Source data: NVD (nvd.nist.gov), public domain. Exploit-DB.ai adds local AI analysis for defensive use only.
Related CVEs
- HIGHCVE-2026-96775
- CRITICALCVE-2026-18163
- CRITICALCVE-2026-70416
- CRITICALCVE-2026-81657
- CRITICALCVE-2026-96560PoC
- CRITICALCVE-2017-20242
- CRITICALCVE-2026-101008PoC
- CRITICALCVE-2026-101037PoC
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