CVE-2025-62453: CWE-1426: Improper Validation of Generative AI Output in Microsoft Visual Studio Code
Improper validation of generative ai output in GitHub Copilot and Visual Studio Code allows an authorized attacker to bypass a security feature locally.
AI Analysis
Technical Summary
CVE-2025-62453 is a vulnerability identified in Microsoft Visual Studio Code version 1.0.0, specifically related to the integration of generative AI output from GitHub Copilot. The root cause is improper validation of the AI-generated code or suggestions, which allows an authorized local attacker with limited privileges to bypass certain security features within the development environment. This bypass could enable the attacker to execute actions or introduce code changes that would normally be restricted, thereby compromising the integrity of the software development process. The vulnerability requires user interaction, meaning the attacker must engage with the AI output or the development environment to exploit the flaw. The CVSS v3.1 score is 5.0 (medium severity), reflecting that the attack vector is local, attack complexity is low, privileges required are low, and user interaction is required. The impact is primarily on integrity, with no direct confidentiality or availability impact. No patches or exploit code are currently publicly available, and no known exploits are in the wild. The vulnerability is categorized under CWE-1426 (Improper Validation of Generative AI Output) and CWE-693 (Protection Mechanism Failure), indicating a failure in validating AI-generated content before execution or integration. This vulnerability underscores the challenges of securely integrating generative AI tools into software development workflows without introducing new attack vectors.
Potential Impact
For European organizations, this vulnerability poses a risk primarily to the integrity of software development processes. Attackers with local access could bypass security controls, potentially injecting malicious code or altering software components undetected. This could lead to compromised software products, intellectual property theft, or introduction of backdoors. While the vulnerability does not directly affect confidentiality or availability, the integrity impact can have downstream effects on trust and compliance, especially in regulated industries such as finance, healthcare, and critical infrastructure. Organizations relying heavily on Visual Studio Code and GitHub Copilot for development are at higher risk. The requirement for local access and user interaction limits remote exploitation but does not eliminate insider threat risks or risks from compromised endpoints. Given the widespread use of Visual Studio Code in Europe, particularly in technology hubs and enterprises, the vulnerability could have broad implications if exploited.
Mitigation Recommendations
1. Restrict local access to development machines running Visual Studio Code, enforcing strict access controls and endpoint security measures. 2. Educate developers and users about the risks of blindly accepting AI-generated code suggestions and encourage manual review before integration. 3. Monitor development environments for unusual activity or unauthorized code changes that could indicate exploitation attempts. 4. Implement application whitelisting and code signing policies to detect and prevent unauthorized code execution. 5. Once Microsoft releases patches or updates addressing this vulnerability, apply them promptly across all affected systems. 6. Consider disabling GitHub Copilot or other generative AI features temporarily in sensitive environments until the vulnerability is resolved. 7. Employ runtime integrity verification tools to detect unauthorized modifications in development environments. 8. Maintain robust audit logs of development activities to facilitate incident investigation if exploitation occurs.
Affected Countries
Germany, United Kingdom, France, Netherlands, Sweden, Ireland
CVE-2025-62453: CWE-1426: Improper Validation of Generative AI Output in Microsoft Visual Studio Code
Description
Improper validation of generative ai output in GitHub Copilot and Visual Studio Code allows an authorized attacker to bypass a security feature locally.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-62453 is a vulnerability identified in Microsoft Visual Studio Code version 1.0.0, specifically related to the integration of generative AI output from GitHub Copilot. The root cause is improper validation of the AI-generated code or suggestions, which allows an authorized local attacker with limited privileges to bypass certain security features within the development environment. This bypass could enable the attacker to execute actions or introduce code changes that would normally be restricted, thereby compromising the integrity of the software development process. The vulnerability requires user interaction, meaning the attacker must engage with the AI output or the development environment to exploit the flaw. The CVSS v3.1 score is 5.0 (medium severity), reflecting that the attack vector is local, attack complexity is low, privileges required are low, and user interaction is required. The impact is primarily on integrity, with no direct confidentiality or availability impact. No patches or exploit code are currently publicly available, and no known exploits are in the wild. The vulnerability is categorized under CWE-1426 (Improper Validation of Generative AI Output) and CWE-693 (Protection Mechanism Failure), indicating a failure in validating AI-generated content before execution or integration. This vulnerability underscores the challenges of securely integrating generative AI tools into software development workflows without introducing new attack vectors.
Potential Impact
For European organizations, this vulnerability poses a risk primarily to the integrity of software development processes. Attackers with local access could bypass security controls, potentially injecting malicious code or altering software components undetected. This could lead to compromised software products, intellectual property theft, or introduction of backdoors. While the vulnerability does not directly affect confidentiality or availability, the integrity impact can have downstream effects on trust and compliance, especially in regulated industries such as finance, healthcare, and critical infrastructure. Organizations relying heavily on Visual Studio Code and GitHub Copilot for development are at higher risk. The requirement for local access and user interaction limits remote exploitation but does not eliminate insider threat risks or risks from compromised endpoints. Given the widespread use of Visual Studio Code in Europe, particularly in technology hubs and enterprises, the vulnerability could have broad implications if exploited.
Mitigation Recommendations
1. Restrict local access to development machines running Visual Studio Code, enforcing strict access controls and endpoint security measures. 2. Educate developers and users about the risks of blindly accepting AI-generated code suggestions and encourage manual review before integration. 3. Monitor development environments for unusual activity or unauthorized code changes that could indicate exploitation attempts. 4. Implement application whitelisting and code signing policies to detect and prevent unauthorized code execution. 5. Once Microsoft releases patches or updates addressing this vulnerability, apply them promptly across all affected systems. 6. Consider disabling GitHub Copilot or other generative AI features temporarily in sensitive environments until the vulnerability is resolved. 7. Employ runtime integrity verification tools to detect unauthorized modifications in development environments. 8. Maintain robust audit logs of development activities to facilitate incident investigation if exploitation occurs.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- microsoft
- Date Reserved
- 2025-10-14T18:24:58.483Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 69137c4d47ab3590319dbf81
Added to database: 11/11/2025, 6:11:25 PM
Last enriched: 2/14/2026, 7:28:19 AM
Last updated: 3/28/2026, 4:55:35 AM
Views: 197
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