CWE-1426

Improper Validation of Generative AI Output

The product invokes a generative AI/ML component whose behaviors and outputs cannot be directly controlled, but the product does not validate or insufficiently validates the outputs to ensure that they align with the intended security, content, or privacy policy.

CVE-2025-62453 (GCVE-0-2025-62453)
Vulnerability from cvelistv5
Published
2025-11-11 17:59
Modified
2025-11-12 00:24
Severity ?
5.0 (Medium) - CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:N/I:H/A:N/E:U/RL:O/RC:C
CWE
  • CWE-1426 - Improper Validation of Generative AI Output
  • CWE-693 - Protection Mechanism Failure
Summary
Improper validation of generative ai output in GitHub Copilot and Visual Studio Code allows an authorized attacker to bypass a security feature locally.
References
Impacted products
Vendor Product Version
Microsoft Visual Studio Code Version: 1.0.0   < 1.105.0
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Mitigation

Phase: Architecture and Design

Description:

  • Since the output from a generative AI component (such as an LLM) cannot be trusted, ensure that it operates in an untrusted or non-privileged space.
Mitigation

Phase: Operation

Description:

  • Use "semantic comparators," which are mechanisms that provide semantic comparison to identify objects that might appear different but are semantically similar.
Mitigation

Phase: Operation

Description:

  • Use components that operate externally to the system to monitor the output and act as a moderator. These components are called different terms, such as supervisors or guardrails.
Mitigation

Phase: Build and Compilation

Description:

  • During model training, use an appropriate variety of good and bad examples to guide preferred outputs.

No CAPEC attack patterns related to this CWE.

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