Arbitrary code execution via CSV label eval
Published Sep 12, 2024 · Updated Sep 12, 2024
Code injection in Refuel Autolabel 0.0.8 and newer allows attackers to execute Python code through a crafted classification CSV file. ClassificationTaskValidate.validate passes bracket-wrapped label_column values directly to eval without parsing or restricting executable expressions. Execution requires a victim to load the malicious dataset for a classification task with validation enabled, and the injected code runs with that user's process privileges.
Summary
What happened
Code injection in Refuel Autolabel 0.0.8 and newer allows attackers to execute Python code through a crafted classification CSV file. ClassificationTaskValidate.validate passes bracket-wrapped label_column values directly to eval without parsing or restricting executable expressions. Execution requires a victim to load the malicious dataset for a classification task with validation enabled, and the injected code runs with that user's process privileges.
The record
- CVE
- CVE-2024-27320
- Published
- Sep 12, 2024
- Updated
- Sep 12, 2024
- Vendor
- Refuel
- Product
- Autolabel
- Classifications
- CWE-1236, CWE-95, T1059.006, 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
Compare your product and version with the public record. A matching version still requires validation against your environment.
Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=0.0.8 <=*
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 classification CSV demonstrationproof of concept · demonstrated
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
See the directory against your own environment.
Your stack
Check the software in your environment
Book a demo to see how Hinoki identifies affected software and validates exploitability in your environment.
Book a demo