Torjus Håkestad
0ad6f4cb6a
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>
29 lines
809 B
HTML
29 lines
809 B
HTML
{{define "active_sessions"}}
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<table>
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<thead>
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<tr>
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<th>ID</th>
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<th>IP</th>
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<th>Username</th>
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<th>Shell</th>
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<th>Score</th>
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<th>Connected</th>
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</tr>
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</thead>
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<tbody>
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{{range .}}
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<tr>
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<td><code>{{truncateID .ID}}</code></td>
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<td>{{.IP}}</td>
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<td>{{.Username}}</td>
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<td>{{.ShellName}}</td>
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<td>{{if .HumanScore}}{{if gt (derefFloat .HumanScore) 0.6}}<mark>{{formatScore .HumanScore}}</mark>{{else}}{{formatScore .HumanScore}}{{end}}{{else}}-{{end}}</td>
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<td>{{formatTime .ConnectedAt}}</td>
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</tr>
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{{else}}
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<tr><td colspan="6">No active sessions</td></tr>
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{{end}}
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</tbody>
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</table>
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{{end}}
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