ZeroFont NLP evasion — 2+ invisible spans stuffed with random natural-language noise words to dilute AI classifier signal
zero-font-random-word-salting
What this tier means
High-confidence threat indicator — phishing, impersonation, BEC, or scam pattern. Strong contributor to the trash decision.
How Gorganizer detects this
HTML body contains 2+ invisible spans/divs stuffed with random natural-language noise words — the ZeroFont text-dilution technique that breaks NLP-based phishing classifiers by adding "benign" filler text invisible to the recipient but consumed by content classifiers. Distinct from css-hidden-text-salting (which aggregates 3+ concealment techniques); this fires on the single-technique ZeroFont pattern with 2+ noise blocks and excludes URLs/email-addresses (those are scored elsewhere). Documented by Inky/TechTarget, CheckPoint Email Security, BleepingComputer, SANS ISC Diary 30248 (2025), and MDPI 2025.
False-positive guard
Every signal in Gorganizer feeds a multi-module score — never a sole verdict. This is a threat-tier signal — it adds a strong contribution to the trash score. The full pipeline still requires convergence across multiple modules + a margin over the safety floor before deletion happens, and Gmail's trash (30-day recovery) is always used — never permanent delete.
About the scoring engine
Gorganizer's scoring engine emits over 1,800 signals across six modules — headers, sender, subject, body, attachments, and structural metadata. Every email is scored by every module independently; the final verdict requires multiple modules to agree and the trash score to beat the safety floor by a margin.
Sacred safety guards — never delete starred emails, replies, calendar invites, receipts/invoices, or attachments — apply unconditionally regardless of any signal.
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