CVE-2025-58374 (GCVE-0-2025-58374)
Vulnerability from cvelistv5 – Published: 2025-09-06 02:19 – Updated: 2025-09-08 14:05
VLAI
EPSS
VEX
Title
Roo Code: Auto-approve allows npm install execution of malicious postinstall scripts
Summary
Roo Code is an AI-powered autonomous coding agent that lives in users' editors. Versions 3.25.23 and below contain a default list of allowed commands that do not need manual approval if auto-approve is enabled, and npm install is included in that list. Because npm install executes lifecycle scripts, if a repository’s package.json file contains a malicious postinstall script, it would be executed automatically without user approval. This means that enabling auto-approved commands and opening a malicious repo could result in arbitrary code execution. This is fixed in version 3.26.0.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-09-08 13:53 UTC
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/RooCodeInc/Roo-Code/security/a… | x_refsource_CONFIRM |
| https://github.com/RooCodeInc/Roo-Code/pull/7390/files | x_refsource_MISC |
| https://github.com/RooCodeInc/Roo-Code/releases/t… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| RooCodeInc | Roo-Code |
Affected:
< 3.26.0
|
guessed |
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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| Author | Source | Type | Date | Other |
|---|
Nomenclature
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
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They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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