Code execution via unsafe cloudpickle deserialization
Published Mar 14, 2024 · Updated Apr 10, 2025
Arbitrary code execution in ZenML 0.55.4 allows remote attackers to run crafted Python payloads through a cloudpickle artifact. CloudpickleMaterializer.load opens the stored artifact and passes its attacker-controlled bytes to cloudpickle.load, which reconstructs executable Python objects. Exploitation requires the crafted artifact to be loaded by a workflow, after which code runs with the pipeline process's privileges.
Summary
What happened
Arbitrary code execution in ZenML 0.55.4 allows remote attackers to run crafted Python payloads through a cloudpickle artifact. CloudpickleMaterializer.load opens the stored artifact and passes its attacker-controlled bytes to cloudpickle.load, which reconstructs executable Python objects. Exploitation requires the crafted artifact to be loaded by a workflow, after which code runs with the pipeline process's privileges.
The record
- CVE
- CVE-2024-28424
- Published
- Mar 14, 2024
- Updated
- Apr 10, 2025
- Vendor
- ZenML
- Product
- ZenML
- Classifications
- CWE-94, T1204.002
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Mar 14, 2024CVE publishedPublication date reported by the CVE source.
- Apr 10, 2025Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
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- Affected versionversion=v0.55.4
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
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Weakness, pattern, technique
Public exploit references
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Technologies
Your stack
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Your stack
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