CVE-2026-64849
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Starting in 3.3.0 and prior to 3.15.0, the unauthenticated POST /api/2.0/mlflow/webhooks/{id}/test endpoint calls _validate_webhook_url() in mlflow/utils/validation.py…
Read full description
Attention and evidence
Evidence confidence: Exploitation recorded
Hype components
Sources and documents
Score evolution
● Hype ● Reality
Earlier evidence-support scores are retained in history; this chart shows only the current priority definition.
First record: hype 0.3 · reality 8.4 (2026-11-02 15:14). The curve appears once the score changes.
Public exploit evidence
Public exploit entries / repo candidates
Evidence context and dated references
Reality is general threat/review priority, combining observed exploitation, CVSS severity and fresh EPSS. Evidence confidence is separate. This is not calibrated risk, a victim count or an asset-specific assessment. A range reflects missing numeric inputs.
Evidence in context
- Confidence in exploitation evidence
- Exploitation recorded
- Priority basis
- Recorded exploitation; CVSS 9.3; EPSS 10.0%
- Attention, last 30 days
- 1 distinct story titles; 1 press documents; 1 publisher domains.
- Technical potential
- network access, no prior privileges, no user interaction.
- Observed activity
- Exploitation recorded in CISA KEV.
- Known scale
- Not quantified.
- Evidence confidence basis
- Trusted exploitation confirmation
Score evaluated: 2026-11-05 14:00:19.801232+00:00 · EPSS snapshot: 2026-11-05T12:03:04Z