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ThreatPhishing & impersonation

Document-share phishing — fake OneDrive/SharePoint/Google Drive/Dropbox share + sign-in-to-view credential harvest

doc-share-phishing

What this tier means

High-confidence threat indicator — phishing, impersonation, BEC, or scam pattern. Strong contributor to the trash decision.

How Gorganizer detects this

Body contains a fake document-share notification — a branded platform reference (OneDrive, SharePoint, Google Drive, Dropbox, Adobe, DocuSign) combined with "shared a document/file with you" language, OR the generic "has shared a file with you" phrasing attackers copy verbatim from legitimate notifications. Paired with a credential-harvest hook: "sign in to view", "verify your identity to open", click-to-view + time-limited "link expires in N hours", or a "secure document" wrapper. This is one of the highest-volume corporate phishing categories per Cofense and Proofpoint 2024 reports. The harvest page typically mimics a Microsoft or Google sign-in form so the user types real credentials into it. Legitimate share notifications never ask you to sign in from a link embedded in the email — they bounce you to the platform's own SSO page via its first-party domain.

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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