Published June 4, 2024
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s...
Full analysis pending. Showing NVD description excerpt.
Affected Systems
| Package | Ecosystem | Vulnerable Range | Patched |
|---|---|---|---|
| mlflow | pip | >= 0.5.0, <= 3.4.0 | No patch |
| mlflow | pip | — | No patch |
Severity & Risk
CVSS 3.1
8.8 / 10
EPSS
0.4%
chance of exploitation in 30 days
KEV Status
Not in KEV
Sophistication
N/A
Recommended Action
No patch available
Monitor for updates. Consider compensating controls or temporary mitigations.
Compliance Impact
Compliance analysis pending. Sign in for full compliance mapping when available.
Technical Details
NVD Description
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with.
Weaknesses (CWE)
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H References
Timeline
Published
June 4, 2024
Last Modified
September 29, 2025
First Seen
June 4, 2024