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CVE-2024-37054

MLFlow unsafe deserialization

8.8 HighPublic exploitFix available

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with.

Attack profile

How easy it is to exploit

Attack vector
Network
Complexity
Low
Privileges needed
None
User interaction
Required

What an attacker can affect

Confidentiality
High
Integrity
High
Availability
High

Exploit likelihood

0.70%Up 0.7 points since Jun 5, 2024
90%50%10%1%

What each source reports

CVE List Score used 8.8

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with.

Record
CVE-2024-37054
CVSS 3.1
8.8 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Weakness
CWE-502
Updated
2026-11-02
EUVDEUVD-2024-2055 8.8

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with.

Record
EUVD-2024-2055
CVSS 3.1
8.8 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Updated
2026-11-03
GitHub AdvisoriesGHSA-ghv6-9r9j-wh4j 8.8

MLFlow unsafe deserialization

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with.

Record
GHSA-ghv6-9r9j-wh4j
CVSS 3.1
8.8 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Weakness
CWE-502
Updated
2026-11-02
NVD 8.8

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with.

Record
CVE-2024-37054
CVSS 3.1
8.8 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Weakness
CWE-502
Updated
2026-11-02
OSVGHSA-ghv6-9r9j-wh4j 8.8

MLFlow unsafe deserialization

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with.

Record
GHSA-ghv6-9r9j-wh4j
CVSS 3.1
8.8 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Weakness
CWE-502
Updated
2026-11-02
OSVPYSEC-2026-1651 8.8

MLFlow unsafe deserialization

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with.

Record
PYSEC-2026-1651
CVSS 3.1
8.8 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Updated
2026-11-02
OSVBIT-mlflow-2024-37054 No score

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with.

Record
BIT-mlflow-2024-37054
Updated
2026-11-02
OSVCLSA-2026-1790247571 No score

TuxCare security update for mlflow (1 CVE)

TuxCare rebuilt mlflow to address 1 CVE. Fixed in 2.9.1.post11+tuxcare.

Record
CLSA-2026-1790247571
Updated
2026-11-02

Affected products

Affected packages

Affected packages
PackageAffectedFixed
mlflow
PyPI
0.9.0 to 2.14.1 None known
mlflow
Bitnami
0.9.0 up to 2.14.2
2.14.2
mlflow
TuxCare:PyPI
2.9.1 up to 2.9.1.post11+tuxcare, plus listed versions
2.9.1.post1+tuxcare2.9.1.post10+tuxcare2.9.1.post2+tuxcare2.9.1.post3+tuxcare2.9.1.post4+tuxcare
Show 5 moreShow less
2.9.1.post5+tuxcare2.9.1.post6+tuxcare2.9.1.post7+tuxcare2.9.1.post8+tuxcare2.9.1.post9+tuxcare
2.9.1.post11+tuxcare
mlflow
PyPI
0.9.0 to 2.14.1, plus listed versions
0.9.0.10.9.11.0.01.1.01.1.1.dev0
Show 45 moreShow less
1.10.01.11.01.12.01.12.11.131.13.11.14.01.14.11.15.01.16.01.17.01.18.01.19.01.2.01.20.01.20.11.20.21.21.01.22.01.23.01.23.11.24.01.25.01.25.11.26.01.26.11.27.01.28.01.29.01.3.01.30.01.30.11.4.01.5.01.6.01.7.01.7.11.7.21.8.01.9.01.9.12.0.02.0.0rc02.0.12.1.0
None known

Public exploits

Links only. Every CVE stores no exploit code.

Public exploits
SourceLinkDate
PoC in GitHub0o176/CVE-2024-37054_PoC_HTB_SmartHire2026-09-26
PoC in GitHubBardLaudian/CVE-2024-370542026-09-23
PoC in GitHubClearLotus-git/CVE-2024-37054-PoC2026-09-19
PoC in GitHubNiteeshPujari/CVE-2024-37054-MLflow-RCE2025-08-22
PoC in GitHubSpydomain/CVE-2024-37054-MLflow-reverse-shell2026-05-18
PoC in GitHubben-slates/CVE-2024-370542026-05-17
PoC in GitHubjimmexploit/CVE-2024-37054-PoC2026-05-18
PoC in GitHubtristanqtn/CVE-2024-370542026-05-19

History

History
RecordedChangedSources
aliases, publishedEUVD
first indexedCVE List, GitHub Advisories, NVD, OSV, PoC in GitHub

Dates are when Every CVE recorded each change. Upstream dates may differ.

In short

CVE-2024-37054 is a high vulnerability (CVSS 8.8) in Lfprojects Mlflow, published June 4, 2024. Public exploit code exists. EPSS puts the chance of exploitation in the next 30 days at 0.70%, the 53rd percentile. Fixed in mlflow 2.14.2.

References

This page doesn't list everything

Left out here: 35 versions. The JSON record has them.

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