Scan PDFs, Office docs, and RAG files for malware exploits, macros, CVEs, and AI prompt injection.
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Check current MalwareTracker API plan, monthly scan usage, and remaining quota.
Inputs: no named parameters.
List or filter MalwareTracker's QuickSand YARA signature catalog, covered CVEs, MITRE ATT&CK techniques, and AI/RAG prompt-injection detection rules. Requires no API key.
Inputs: cve, search, category.
Look up a previously analyzed document malware & stream report by MD5, SHA1, SHA256, or SHA512 hash. Does not consume monthly scan quota.
Inputs: hash (required).
Scan a PDF, Office document (DOC/DOCX/XLS/XLSX/PPT/PPTX/RTF/OneNote), email, archive, or extracted text in <100ms for embedded malware exploits, macros, CVEs, and hidden AI/RAG prompt-injection payloads (3 Tr invisible PDF text, zero-point fonts, <w:vanish/> OOXML tags, spoofed <tool_call> tags, and markdown exfiltration beacons) with zero file retention.
Inputs: filename, password, text_content, content_base64.
Fast Tier-0 SOAR phishing & attachment triage. Evaluates a document in milliseconds and returns verdict ('clean' | 'suspicious' | 'malicious'), recommended_action ('allow' | 'detonate_in_sandbox' | 'quarantine_and_detonate'), escalate_to_sandbox, matched CVEs, MITRE ATT&CK techniques, and AI prompt-injection findings.
Inputs: filename, text_content, content_base64.
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Scan text, documents, websites, and MCP metadata for prompt injection and sensitive-data risks.
Scans untrusted web pages, emails, MCP responses, or A2A payloads for hidden prompt injections an.
Check a document for hidden text before your agent reads it. PDF, Office, RTF, HTML.
Prompt injection detection API for AI agents. Scan untrusted text before passing it to an LLM.
Add one secure layer between your agents and this server.
