jevbooks

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firstlight

Kandarp-Joshi-007/firstlight · Homepage

Early warning for Irish brand impersonation from public certificate logs.

Classification & Routing0.55Runner-up: Content ModerationFunnelCheck-up
Automated README summary

Automatically summarized from the README on 3 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

firstlight reads public Certificate Transparency logs to find domains imitating Irish banks, An Post, Revenue, HSE and others. It is for defenders who want lead time before phishing sites go live.

How it uses Jev

For each candidate domain that survives the brand filter, Jev returns a calibrated probability that it is an impersonation attempt. Verdicts above a threshold are stored in SQLite and exported to a static dashboard.

Primitives:score

Technique worth stealing

Use a generous pre-filter to cut a firehose to candidates, then let a calibrated decision model handle precision.

Try it

python watch.py --once --no-jev for a filter-only pass; set OPENROUTER_API_KEY to enable Jev scoring.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.87
  • Shows a System One patternFound in material0.71
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersFound in material0.95
  • Is a runnable toolunclear0.53
  • Top-10 learning shortlist signalnot found in the excerpt0.34
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale1.04 / 2
  • About JevFound in material0.96
Signals
Jev is core to the project0.87Shows a System One pattern0.71Describes handling uncertainty0.05Reports measured numbers0.95Is a runnable tool0.53Top-10 learning shortlist signal0.34Is a replica of the model0.0300.51Solves a common problem (0–2)1.04 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.97Check-up0.94Traffic light0.5600.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 3 Oct 2026.