Full Report
Over 30 security vulnerabilities have been disclosed in various artificial intelligence (AI)-powered Integrated Development Environments (IDEs) that combine prompt injection primitives with legitimate features to achieve data exfiltration and remote code execution. The security shortcomings have been collectively named IDEsaster by security researcher Ari Marzouk (MaccariTA). They affect popular IDEs and extensions such as Cursor, Windsurf, Kiro.dev, GitHub Copilot,…
Analysis Summary
This summary reflects the information available in the press article provided. Note that specific CVE details, severity scores, and vendor patches are generalizations based on the collective nature of the reported vulnerabilities ("IDEsaster").
# Vulnerability: IDEsaster - Prompt Injection Leading to RCE in AI-Powered IDEs
## CVE Details
- CVE ID: Multiple (24 assigned out of 30+ total) - *Specific IDs not provided in the source material.*
- CVSS Score: Unknown - *Severity levels vary across the 24 assigned CVEs.*
- CWE: Likely related to CWE-943 (Improper Neutralization of Special Elements in Output Used by a Web Page Subsystem) or similar injection/trust vulnerabilities in prompt handling.
## Affected Systems
- Products: Cursor, Windsurf, Kiro.dev, GitHub Copilot, Zed.dev, Roo Code, Junie, Cline, and other unspecified AI-powered IDEs/Extensions.
- Versions: Not specified, implied to be a broad set covering "popular IDEs and extensions."
- Configurations: Applicable where the IDE integrates prompt injection primitives with legitimate features that process user input or generated content.
## Vulnerability Description
Security researchers discovered over 30 vulnerabilities collectively named "IDEsaster." These flaws exploit the integration of **prompt injection primitives** within the legitimate features of AI-powered IDEs (like code completion suggestions or integrated chat). Successful exploitation allows an attacker to manipulate these systems to achieve sensitive outcomes, including **data exfiltration** and **Remote Code Execution (RCE)**. A key finding was that universal attack chains affected nearly every AI IDE tested.
## Exploitation
- Status: PoC likely available via researcher disclosure (MaccariTA). Not explicitly stated if actively exploited in the wild based solely on this snippet.
- Complexity: Implied to be **Medium to Low**, as the research found "universal attack chains" affecting multiple products.
- Attack Vector: Exploitation likely occurs upon processing malicious input or leveraging the AI environment's standard interactions, suggesting a **Local/Adjacent** vector based on interaction with the IDE environment itself.
## Impact
- Confidentiality: High (Enabling data exfiltration)
- Integrity: High (Enabling Remote Code Execution - RCE)
- Availability: Potential, depending on the RCE outcome (e.g., denial of service or system compromise)
## Remediation
### Patches
- Specific vendor patches are not detailed in the source article. Users must check advisories from Cursor, GitHub (for Copilot), Zed.dev, and other affected vendors for specific version updates addressing the 24 assigned CVEs.
### Workarounds
- **Limit Trust:** Be extremely cautious about code executed or generated by AI tools, as malicious prompts could be embedded within suggestions or functions.
- **Review/Scrutinize AI Output:** Manually verify any code generated or actions suggested by AI features before accepting or execution, assuming input/output streams might be compromised via prompt injection.
## Detection
- **Indicators of Compromise (IoC):** Unusual outbound network connections originating from the IDE process or associated AI service endpoints that do not align with expected telemetry or update checks. Unexpected file system access or configuration changes within the project directory.
- **Detection Methods and Tools:** Utilizing IDE security monitoring tools that monitor file system access, process spawning, and outbound network activity by the IDE executable should help flag anomalous behavior resulting from RCE or data theft.
## References
- Researcher Disclosure: hxxps://maccarita.com/posts/idesaster/
- General Coverage: hxxps://threatbeat.com/researchers-uncover-30-plus-flaws-in-ai-coding-tools-enabling-data-theft-and-rce-attacks/