Local code execution via unsafe version.py evaluation
Published Apr 3, 2025 · Updated Apr 21, 2025
Code injection in InternLM LMDeploy 0.7.0 and 0.7.1 allows local users to execute Python code through a modified version.py file. The docs/en/conf.py configuration reads the entire version file and passes it to compile and exec instead of extracting only the version value. Exploitation requires write access to lmdeploy/version.py and execution of the documentation configuration, after which injected code runs with that process's permissions.
Summary
What happened
Code injection in InternLM LMDeploy 0.7.0 and 0.7.1 allows local users to execute Python code through a modified version.py file. The docs/en/conf.py configuration reads the entire version file and passes it to compile and exec instead of extracting only the version value. Exploitation requires write access to lmdeploy/version.py and execution of the documentation configuration, after which injected code runs with that process's permissions.
The record
- CVE
- CVE-2025-3163
- Published
- Apr 3, 2025
- Updated
- Apr 21, 2025
- Vendor
- InternLM
- Product
- LMDeploy
- Classifications
- CWE-74, CWE-94, T1059.006
- Attack vector
- local
- Privileges
- authenticated
Timeline
How it unfolded
- Apr 3, 2025CVE publishedPublication date reported by the CVE source.
- Apr 21, 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?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=0.7.0
- Affected versionversion=0.7.1
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
- InternLM issue 3254 version.py code-execution proof of conceptproof of concept · unverified
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
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