Introduces standardized RSSI-to-label mapping (minimal/weak/moderate/strong/very_strong)
and duration-based confidence modifiers for client-facing reports and dashboards.
- New signal_classification.py module with hedged language generation
- Updated detector.py to use standardized signal descriptions
- Enhanced reports.py with signal classification in findings
- Added JS SignalClassification and signal indicator components
- CSS styles for signal strength bars and assessment panels
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add verbose_results flag to store full device details in sweep results
- Add non-interactive mode (--non-interactive) to setup.sh
- Add ask_yes_no helper for interactive prompts with TTY detection
- Update reports.py to handle new results structure with fallbacks
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Implement 9 major TSCM feature enhancements:
1. Capability & Coverage Reality Panel - Exposes what sweeps can/cannot
detect based on OS, privileges, adapters, and SDR limits
2. Baseline Diff & Health - Shows changes vs baseline with health scoring
(healthy/noisy/stale) based on age and device churn
3. Per-Device Timelines - Time-bucketed observations with RSSI stability,
movement patterns, and meeting correlation
4. Whitelist/Known-Good Registry + Case Grouping - Global and per-location
device registry with case management for sweeps/threats/notes
5. Meeting-Window Summary Enhancements - Tracks devices first seen during
meetings with scoring modifiers
6. Client-Ready PDF Report + Technical Annex - Executive summary, findings
by risk tier, JSON/CSV annex export
7. WiFi Advanced Indicators - Evil twin detection, probe request tracking,
deauth burst detection (auto-disables without monitor mode)
8. Bluetooth Risk Explainability - Proximity estimates, tracker brand
explanations, human-readable risk descriptions
9. Operator Playbooks - Procedural guidance by risk level with steps,
safety notes, and documentation requirements
All features include mandatory disclaimers, preserve existing architecture,
and follow TSCM best practices (no packet capture, no surveillance claims).
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- New device_identity.py: Clusters BLE/WiFi observations into probable
physical devices using passive fingerprinting (not MAC addresses)
- Fingerprinting based on manufacturer data, service UUIDs, capabilities,
timing patterns, and RSSI trajectories
- Session tracking with automatic gap detection
- Risk indicators: stable RSSI, MAC rotation, ESP32 chipsets, audio-capable
- Full audit trail for all clustering decisions
- New ble_scanner.py: Cross-platform BLE scanning with bleak library
- Detects AirTags, Tile, SmartTags, ESP32 by manufacturer ID
- Fallback to system tools (btmgmt, hcitool, system_profiler)
- Added API endpoints for device identity clustering (/tscm/identity/*)
- Updated setup.sh with bleak dependency
- Updated documentation with TSCM features and hardware requirements
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
WiFi Scanning:
- Add 'iw' scan method as primary (sometimes works without root)
- Auto-detect wireless interface from /sys/class/net
- Better error logging for permission issues
- Fall back to iwlist if iw fails
UI Updates:
- Replace Critical/High/Medium/Low cards with new scoring model
- Now shows: High Interest (6+), Needs Review (3-5), Informational (0-2)
- Add Correlations count card
- Update counts based on device classification scores
Tracker Detection:
- Add detection for Apple AirTag (by OUI and name)
- Add detection for Tile trackers
- Add detection for Samsung SmartTag
- Add detection for ESP32/ESP8266 devices (Espressif chipset)
- Add generic chipset vendor detection
- New indicator types with appropriate scoring weights
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Classification levels:
- Green (Informational): Known devices in baseline, expected infrastructure
- Yellow (Needs Review): Unknown BLE devices, new WiFi APs, unidentified RF
- Red (High Interest): Persistent transmitters, audio-capable BLE, trackers,
devices with repeat detections across scans
Features:
- Device history tracking for repeat detection (24-hour window)
- Audio-capable BLE detection (headphones, mics, speakers)
- Classification reasons shown under each device
- Color-coded indicators with visual styling
- Microphone badge for audio-capable BLE devices
