Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:NSummary
CVE-2026-25688 is a medium-severity Improper Neutralization of Alternate XSS Syntax (CWE-87) vulnerability in Apache Answer. Its CVSS base score is 6.1 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Content Injection (T1659); ranked at the 34th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as LLM Application Platforms; in the LLM/Generative AI Risks risk domain.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-35367
Vulnerability Data
Improper Neutralization of Alternate XSS Syntax vulnerability in Apache Answer. This issue affects Apache Answer: through 2.0.0. AI-generated response content was rendered in the browser without proper sanitization, allowing malicious scripts to be executed when the content was viewed. Users…
more
are recommended to upgrade to version 2.0.1, which fixes the issue.
- CWE(s)
AI Security AnalysisAI
- AI Category
- LLM Application Platforms
- Risk Domain
- LLM/Generative AI Risks
- OWASP Top 10 for LLMs 2025
- None mapped
- AI-specific weaknesses CR
- CWE-1426 — AI-generated output rendered into DOM without sanitization/validation.
Mapped by Cyber Resilience · not in NVD. Poisoning and extraction cases are routed to MITRE ATLAS instead of a synthetic CWE.- Classification Reason
- Matched keywords: ai
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
SA-11 requires developer testing and analysis that can discover improper neutralization of alternate script syntax after it has been coded.
SI-10 directly requires validation/sanitization of untrusted inputs, which structurally stops alternate XSS syntax from reaching the interpreter.
SA-8 mandates secure engineering principles such as input neutralization and output encoding that prevent introduction of this class of flaw.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly require proper input neutralization and output encoding to prevent alternate XSS syntax.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Secure coding standards require proper neutralization of alternate script syntax, directly eliminating CWE-87.
Security testing catches residual XSS but does not itself implement the neutralization controls.
Secure SDLC mandates input validation and output encoding that directly prevent alternate XSS syntax.
Application security requirements explicitly call for neutralization of untrusted input to block XSS variants.
Secure architecture principles reduce attack surface but do not prescribe specific encoding rules.