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Description
In mlflow/mlflow version 2.17.2, the /graphql endpoint is vulnerable to a denial of service attack. An attacker can create large batches of queries that repeatedly request all runs from a given experiment. This can tie up all the workers allocated by MLFlow, rendering the application unable to respond to other requests. This vulnerability is due to uncontrolled resource consumption.
Basic information
Type
reviewed
Severity
medium Advisory on GitHub
Open advisory ↗ Repository advisory
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Source code
Browse source ↗ Published (advisory)
2025-03-20 12:32:52 UTC
Updated
2025-10-15 16:11:20 UTC
GitHub reviewed
2025-03-21 23:50:45 UTC
NVD published
2025-03-20
EPSS Score
Score
Percentile
0.14%
33.46%
CVSS Scores
Base score
Version
Severity
Vector
5.9
3.0
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CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/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:H)
Even with access, the exploit needs extra luck, timing, or a fussy environment to actually work.
Privileges required (PR:N)
No account or special rights needed—anonymous or random user is enough.
User interaction (UI:N)
Nobody has to click “OK” or open a trap file; it can work without a victim helping.
Scope (S:U)
Damage stays in the same “trust bubble” as the broken component—no big spill into unrelated systems.
Confidentiality (C:N)
Doesn’t really leak secrets in a meaningful way.
Integrity (I:N)
Data isn’t meaningfully altered or forged.
Availability (A:H)
Could take the service down hard or make it unusable for people who depend on it.
CWEs
CWE id
Name
CWE-400
Uncontrolled Resource Consumption
CWE-410
Insufficient Resource Pool
Affected packages (1)
Vulnerable version ranges and first patched releases as published by GitHub.
Ecosystem
Package
Vulnerable range
First patched
Vulnerable functions
pip
mlflow <= 2.17.2
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cvelogic
Threat Intelligence