By jassics
Security for multimodal AI: cross-modal injection testing (image/audio/document) and input-handling review across modalities.
Test a multimodal AI feature for cross-modal prompt injection and adversarial inputs — instructions hidden in images, OCR'd text, file metadata, or audio that the model treats as commands. Use on an authorized vision/audio/document-accepting app to validate non-text input handling.
Review a multimodal AI application's input handling and trust boundaries across every modality it accepts (image, audio, video, document), covering injection, unsafe parsing, provenance, and output handling. Use when assessing the security of a vision/audio/document-accepting feature.
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npx claudepluginhub jassics/awesome-claude-security --plugin multimodal-securityGenerate consistent findings, pentest reports, vulnerability writeups, and executive summaries with CVSS scoring.
STRIDE / PASTA threat modeling, data flow diagrams, attack trees, and risk-ranked mitigations.
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Mobile app security (Android/iOS): OWASP MASVS review and MASTG-based testing methodology.
Web application security testing: OWASP Web Top 10 assessment, access-control/IDOR testing, and injection testing.
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