feat: add human detection scoring and webhook notifications

Implement phase 2.1 (human detection) and 2.2 (notifications):

- Detection scorer computes 0.0-1.0 human likelihood from keystroke
  timing variance, special key usage, typing speed, command diversity,
  and session duration
- Webhook notifier sends JSON POST to configured endpoints with
  deduplication, custom headers, and event filtering
- RecordingChannel gains an event callback for feeding keystrokes
  to the scorer without coupling shell and detection packages
- Server wires scorer into session lifecycle with periodic updates
  and threshold-based notification triggers
- Web UI shows human score in session tables with highlighting
- New config sections: [detection] and [[notify.webhooks]]

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-02-14 21:28:11 +01:00
parent 96c8476f77
commit 0ad6f4cb6a
13 changed files with 1060 additions and 32 deletions

View File

@@ -31,3 +31,13 @@ retention_interval = "1h"
hostname = "ubuntu-server"
# banner = "Welcome to Ubuntu 22.04.3 LTS (GNU/Linux 5.15.0-89-generic x86_64)\r\n\r\n"
# fake_user = "" # override username in prompt; empty = use authenticated user
# [detection]
# enabled = true
# threshold = 0.6 # 0.01.0, sessions above this trigger notifications
# update_interval = "5s" # how often to recompute the score during a session
# [[notify.webhooks]]
# url = "https://ntfy.example.com/honeypot"
# headers = { Authorization = "Bearer your-token" }
# events = ["human_detected", "session_started"] # empty = all events