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Not in CISA KEV
HIGH severity

CVE-2024-24590 — clearml

HIGH

CVE-2024-24590 is a high-severity (CVSS 8) Deserialization of Untrusted Data vulnerability in clearml. 11 public exploit or proof-of-concept references are indexed, so weaponization risk is real. The records list no fixed version yet; check the vendor advisory below and apply the mitigations in the meantime.

Allegro AI ClearML vulnerable to deserialization of untrusted data

Also known asGHSA-cpcw-9h9m-wqw9PYSEC-2026-1256
Published
Updated
Affected
1 pkg
Patched
See advisory
Exploits
11 known
Exploitation data as of Nov 10, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

Proof-of-concept exploit code exists

  • CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
  • A successful exploit gives an attacker total control of the affected component, not partial access.

Exploitation and automatability from CISA’s SSVC triage for CVE-2024-24590.

EPSS Exploitation Probability

via FIRST.org ↗
2.5%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs85th percentile — riskier than 85% of all scored CVEsHighest risk
0.00%33.3%66.7%100.0%82.8%2.5%Jun 26Sep 26Nov 26

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

Where this sits among everything scored

Real-World Exposure

1 pkg affected
🐍clearml

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Deserialization of untrusted data can occur in versions 0.17.0 to 1.14.2 of the client SDK of Allegro AI’s ClearML platform, enabling a maliciously uploaded artifact to run arbitrary code on an end user’s system when interacted with.

Affected Packages

1 total
EcosystemPackageVulnerable rangeFix
🐍PyPIclearml≥ 0.17.0No fix

Affected Products

1 product · 1 configurations
Application
clearmlclear
≥ 0.17.0 && ≤ 1.14.2
range
Exploits & PoCs
11

Research use only. For defensive security, authorized penetration testing, and academic research only. Never execute exploit code against systems without explicit written authorization.

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for clearml, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Remediation status

    The records we use list no patched version of clearml for CVE-2024-24590. Check the maintainer's advisory, and where your build allows, override or pin the dependency away from the vulnerable range.

  3. Mitigate without a patch

    Do not deserialise data from untrusted sources: where the format allows it, restrict deserialisation to an explicit allowlist of expected types, and prefer a data-only format (JSON, Protobuf) over one that can reconstruct arbitrary objects until you can upgrade.

Frequently Asked Questions

Deserialization of untrusted data can occur in versions 0.17.0 to 1.14.2 of the client SDK of Allegro AI’s ClearML platform, enabling a maliciously uploaded artifact to run arbitrary code on an end user’s system when interacted with.
O3 Security · Impact-Aware SCA

Is CVE-2024-24590 in your dependencies?

Find it across PyPI, including transitive dependencies.

CVE-2024-24590: clearml RCE (High 8)