Sun Spider Module (Media Scanner)
WidowMind's Sun Spider is a hyper-efficient media file scanner, inspired by the relentless heat of the sun and precision of the spider. It passively analyzes incoming media files—images, videos, PDFs, documents—for steganographic malware, malicious payloads, and obfuscated code.
Key Features
- Real-time scan of media inputs (PDF, DOCX, MP4, etc.)
- Steganography and embedded threat detection
- Behavioral media classification via ArachnoCore
- Quarantine and alert system
Architecture
Built on Python, Rust, and FFmpeg, Sun Spider uses multi-threaded file parsing and classification, enhanced by ArachnoCore's threat model updates. Forensics-ready metadata is logged and archived.
Use Cases
- Enterprise email security scanning
- Classified document vetting (gov, defense)
- USB/Removable media vetting
Compliance
- HIPAA / FERPA media-safe practices
- GDPR scanning transparency (logs)
- Can be run offline/air-gapped
Future Roadmap
- AI-powered metadata tagging
- Visual anomaly detection using CV algorithms
- Cloud sandbox auto-triage (optional)
Tagline: “The sun never sets on media-borne malware.”