CVE-2024-37059
published 2024-06-04CVE-2024-37059: 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…
PriorityP352high8.8CVSS 3.1
AVNACLPRNUIRSUCHIHAH
EPSS
0.62%
45.1th percentile
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.
Affected
3 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| lfprojects | mlflow | >= 0.5.0 | — |
| mlflow | mlflow | 0.5.0 – * | — |
| mlflow | mlflow | 0.5.0 – 3.4.0 | — |
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OSV
MLFlow unsafe deserialization
osv·2024-06-04
CVE-2024-37059 [HIGH] MLFlow unsafe deserialization
MLFlow unsafe deserialization
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.
GHSA
MLFlow unsafe deserialization
ghsa·2024-06-04
CVE-2024-37059 [HIGH] CWE-502 MLFlow unsafe deserialization
MLFlow unsafe deserialization
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.
No detection rules found.
No public exploits indexed.
No writeups or analysis indexed.
2024-06-04
Published