FINDING #2095 · UNIT ID 894433723
ASCIT31/Dark-Moon
Autonomous AI pentesting engine, continuous offensive security across web, cloud, identity, CI/CD, IaC, databases, Active Directory, Kubernetes and IoT firmware. Agentic reasoning plus real exploit execution deliver proof-based vulnerabilities. Privacy gateway: the LLM never sees your real IPs, hosts or creds, nothing leaves your perimeter.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
3% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
3.29
ACCEL
-0.64
RETENTION
32.1%
PEAK 2026-08-24 · FORK-RETENTION 25.0% · 23 STARS / WINDOW
Author Audience
AUDIENCE
219
FOLLOWERS
22
OWNER ★
877
Engagement Signals
FORKS
153
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 23 / 23 (DIVERSITY 1.00)
Why This Is A Finding
ASCIT31/Dark-Moon собрал 23 звёзд за окно, тогда как у автора всего 22 подписчиков — эффективная аудитория ≈ 219. Это даёт surprise-индекс 0.0127 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 25.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.
Related Findings
RANKS ABOVE 79% OF 9760 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 9760 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 79%
VELOCITY3.293.71-0.43ABOVE 44%
RETENTION32.1%38.0%-5.9 PPABOVE 41%
FORKS15386+67ABOVE 64%
SURPRISE0.010.01+0.00ABOVE 57%