Jev in production › Search, ranking and matching

NucleiSniper

Scores Nuclei templates 0-4 by relevance to a fingerprinted target so high-value checks run first, across 13,764+ templates.

Open on GitHub ↗

The source publishes no measured number.
Use
Search, ranking and matching
Industry
Security
Form
Open-source tool
Stage
In production
Plugs into
Nuclei
Listed
2026-10-09
Found via
github
Repository
MorDavid/NucleiSniper
Stars
18
Forks
6
Last push
2026-10-08
Language
Python
License
none stated

The README opens with

Run every Nuclei template — highest-relevance first — powered by TypeSafe Jev AI scoring.

Features • Installation • Usage • Examples • How Scoring Works • Configuration • Disclaimer

NucleiSniper is a single-script pipeline that uses TypeSafe Jev AI to rank all Nuclei templates by relevance to each target, then runs Nuclei with the most-relevant templates first.

🧠 AI-Powered Scoring Pipeline - Stage 1 (Profile & Score): Deep-fingerprint each target, then send template batches to Jev AI for relevance scoring (0–4) - Stage 2 (Execute): Run Nuclei with all templates ordered by score — critical findings surface first

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For the project's own README, linking back here:

Listed in Jev in production

Also used for search, ranking and matching