Code execution via untrusted pickle deserialization
Published Sep 12, 2024 · Updated Sep 12, 2024
Unsafe deserialization in Cleanlab cleanlab 2.4.0 and later allows local users to execute arbitrary code through a crafted Datalab directory. The _Serializer.deserialize method opens datalab.pkl from the supplied path and passes its untrusted contents directly to pickle.load. Execution requires a user to call Datalab.load on the attacker-supplied directory, after which the payload runs with that user's privileges.
Summary
What happened
Unsafe deserialization in Cleanlab cleanlab 2.4.0 and later allows local users to execute arbitrary code through a crafted Datalab directory. The _Serializer.deserialize method opens datalab.pkl from the supplied path and passes its untrusted contents directly to pickle.load. Execution requires a user to call Datalab.load on the attacker-supplied directory, after which the payload runs with that user's privileges.
The record
- CVE
- CVE-2024-45857
- Published
- Sep 12, 2024
- Updated
- Sep 12, 2024
- Vendor
- Cleanlab
- Product
- cleanlab
- Classifications
- CWE-502, CAPEC-586, T1204.002
- Attack vector
- local
- Privileges
- unauthenticated
Timeline
How it unfolded
- Sep 12, 2024CVE publishedPublication date reported by the CVE source.
- Sep 12, 2024Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=2.4 <=*
- Affected versionversion=2.4.0 <=*
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
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
- HiddenLayer malicious Datalab pickle proof of conceptproof of concept · demonstrated
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
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Your stack
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