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CVE-2024-37057

Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously…

High8.8Public exploitEPSS 0.62%
Published
Updated
Reserved
Assigned by
HiddenLayer

Description

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.

Public exploit

An exploit or proof of concept is public: anyone can try it against an unpatched system. CISA's SSVC rates its exploitation: a proof of concept is public.

Timeline

  1. ID reserved

    By HiddenLayer

  2. · 4 days later

    Published

  3. · 59 days later

    Record updated

Changes after publication (a new score, a public exploit, EPSS crossing 1, 10 or 50 %, leaving KEV) are kept since November 2026; earlier ones are not known.

Scores

CVSS scores of CVE-2024-37057, by who scored it
Scored byCVSSScoreVector
HiddenLayerCNA (assigner)3.1High8.8CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
NVDNVD · Analyzed3.1High8.8CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
EPSS (exploitation in 30 days)
0.62% · top 50% of all CVEs (7 Nov 2026)
CISA SSVC
Exploitation: poc · Automatable: no · Technical impact: total
Loading the EPSS history…

The list uses the assigner's score when there is one, then CISA's, then NVD's: High 8.8.

Weakness

Affected products

Affected packages

From reviewed advisories of the GitHub Advisory Database.

References (1)

Sources

The same CVE in the primary databases and aggregators, to check against.

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Record last updated .