CVE-2024-37053
published 2024-06-04CVE-2024-37053: Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn…
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 1.1.0 or newer, enabling a maliciously uploaded scikit-learn 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 | >= 1.1.0 | — |
| mlflow | mlflow | 1.1.0 – * | — |
| mlflow | mlflow | 1.1.0 – 2.14.1 | — |
Stop checking back — get the weekly exploitation signal.
Every Monday: what got weaponized or added to CISA KEV in the last seven days — each CVE cross-linked to its PoC, Nuclei template, and detection rule. Free, one email a week, unsubscribe in one click.
GHSA
MLFlow unsafe deserialization
ghsa·2024-06-04
CVE-2024-37053 [HIGH] CWE-502 MLFlow unsafe deserialization
MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.
OSV
MLFlow unsafe deserialization
osv·2024-06-04
CVE-2024-37053 [HIGH] MLFlow unsafe deserialization
MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn 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