Authenticated code execution via crafted array deserialization
Published May 17, 2024 · Updated Aug 27, 2024
Deserialization in Joblib Project Joblib 1.4.2 allows remote authenticated users to execute arbitrary code via a crafted array. NumpyArrayWrapper.read_array calls pickle.load on object-dtype array data without restricting the objects reconstructed from the supplied stream. Execution requires consuming software to load attacker-controlled serialized data; the supplier disputes the CVE because the wrapper is intended for trusted caching and process communication.
Summary
What happened
Deserialization in Joblib Project Joblib 1.4.2 allows remote authenticated users to execute arbitrary code via a crafted array. NumpyArrayWrapper.read_array calls pickle.load on object-dtype array data without restricting the objects reconstructed from the supplied stream. Execution requires consuming software to load attacker-controlled serialized data; the supplier disputes the CVE because the wrapper is intended for trusted caching and process communication.
The record
- CVE
- CVE-2024-34997
- Published
- May 17, 2024
- Updated
- Aug 27, 2024
- Vendor
- Joblib Project
- Product
- Joblib
- Classifications
- CWE-502
- Attack vector
- network
- Privileges
- authenticated
Timeline
How it unfolded
- May 17, 2024CVE publishedPublication date reported by the CVE source.
- Aug 27, 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=1.4.2
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
- NumpyArrayWrapper read_array command-execution proof of conceptproof of concept · demonstrated
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Technologies
Your stack
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Your stack
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