Home/CVE/Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabli
CVE

CVE-2024-37057

Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabli

Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with.

HIGH · CVSS 8.8 EPSS 0.00436
Act now
  • Public exploit or PoC is available
  • CVSS base score ≥ 7.0
Sigma rules0 YARA rules0
⬡

Weakness Classification

CWE-502Deserialization of Untrusted Data
CWE-502Deserialization of Untrusted Data
▤

Affected Products & Versions

1
lfprojects mlflow>= 2.0.0
▤

Affected Packages

1
Language-ecosystem packages (from OSV) tied to this CVE, with the version that fixes it - the dependency-level detail NVD doesn’t carry.
PyPI mlflow HIGH
⚠

Public Exploits & PoCs

1
pochiddenlayer.com · mlflow-june2024hiddenlayer.com
▣

Scoring & Timeline

8.8
HIGH · CVSS v3.1 · 6f8de1f0-f67e-45a6-b68f-98777fdb759c
View on NVD
Attack Vector
Network Adjacent Local Physical
Attack Complexity
Low High
Privileges Required
None Low High
User Interaction
None Required
Scope
Unchanged Changed
Confidentiality
None Low High
Integrity
None Low High
Availability
None Low High
Published to NVD04 Jun 2024 · 12:15 PM
CVSS VectorCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
SSVC triage · cisa-vulnrichment
Exploitation
poc
Automatable
no
Technical impact
total
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