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» GHSA-cv6c-7963-wxcg
Description
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.27.0 or newer, enabling a maliciously crafted Recipe to execute arbitrary code on an end user’s system when run.
Basic information
Type
reviewed
Severity
high
Advisory on GitHub
Open advisory ↗
Repository advisory
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Source code
Browse source ↗
Published (advisory)
2024-06-04 12:31:05 UTC
Updated
2024-06-21 14:33:53 UTC
GitHub reviewed
2024-06-05 13:22:39 UTC
NVD published
2024-06-04
EPSS Score
Score
Percentile
0.38%
58.87%
CVSS Scores
Base score
Version
Severity
Vector
8.8
3.1
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CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Click to expand
Attack vector (AV:N)
Could be attacked over the internet or any normal routed network—not just someone sitting at the machine.
Attack complexity (AC:L)
Once they can reach the bug, pulling it off is straightforward—no weird race conditions or rare setup.
Privileges required (PR:N)
No account or special rights needed—anonymous or random user is enough.
User interaction (UI:R)
A real person has to do something—click, install, enable—otherwise it doesn’t land.
Scope (S:U)
Damage stays in the same “trust bubble” as the broken component—no big spill into unrelated systems.
Confidentiality (C:H)
Serious risk that confidential data gets exposed in a big way.
Integrity (I:H)
They could widely tamper with or forge data—trust in the data is badly hurt.
Availability (A:H)
Could take the service down hard or make it unusable for people who depend on it.
CWEs
CWE id
Name
CWE-502
Deserialization of Untrusted Data
Affected packages (1)
Vulnerable version ranges and first patched releases as published by GitHub.
Ecosystem
Package
Vulnerable range
First patched
Vulnerable functions
pip
mlflow
>= 1.27.0, <= 2.14.1
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cvelogic
Threat Intelligence