src_cd638cf167c7c119d6
- Source-provided label
- Not reported
- Evidence class
- mentioned in report
- Confidence
- Not reported
- Observed
- Sep 16, 2026 17:10 UTC
- Retrieved
- Oct 08, 2026 03:42 UTC
Overview Two vulnerabilities in MLflow’s dspy and statsmodels model flavors allow unauthorized pickle deserialization executions despite a safety control. Specifically, the dspy flavor conditionally applies the control based on the model path’s file extension, and the statsmodels flavor does not apply the control. Description MLflow is an open-source platform for managing machine learning lifecycl
VU#369093: MLflow dspy and statsmodels flavors bypass pickle deserialization control4abc452d53c993c433769c8c16a2767f43e3bb52731de0059d437e96fbc9456bNetwork indicators are visibly defanged. This page does not make them clickable or send them to another service.
No validated file hashes or network indicators are stored for this record.
This record contains metadata and attribution only. It does not host, download, unpack, render, or execute malware samples.
Sources represented on this page. Publication and observation dates describe the content; successful batch dates describe local collection. A recent batch does not certify complete coverage or current provider availability.
1 sources: 0 stale, 0 needing attention, 0 paused, 1 unverified.
Stale means older than twice the recorded collection interval, with a minimum of one hour; without an interval, the threshold is 24 hours. Cached content remains available while a feed is stale, paused, or unverified.