AriaAICompany/phish-structural
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phish-structural
Small calibrated reviewers used by the Phish Space.
tfidf_lr.joblib—TfidfVectorizer(char_wb 3-5)+ logistic regression, sigmoid-calibratedlightgbm.joblib— LightGBM on structural features only, sigmoid-calibrated
Trained on the development campaigns of AriaAICompany/phish-messages (seed 3). Test campaigns are held out by campaign, sender group, and template.
Intended use
Decision support for a human reviewing a synthetic or already-shared message. Scores are not a safe/unsafe certificate and are not a probability of account compromise.
Out of scope
- Fetching or rendering live URLs
- Executing attachments
- Judging malice from a logo screenshot
- Treating copied SPF/DKIM/DMARC headers as a trusted receiver verdict
- Production mailbox enforcement
Metrics
See metrics.json written by scripts/build_artifacts.py and evaluations/evaluation.json in the Space. Lab PR-AUC on synthetic fixtures is not operational accuracy.
