EmailXpose is an open source AI-powered email security system that detects phishing, spam, scams, malware, and social engineering attacks. It goes beyond traditional email filters by combining natural language processing, behavioral analysis, and multi-modal intelligence to analyze text, images, and video content. The system also includes advanced features like sender trust scoring, attachment sandboxing, explainable risk reports, and symbolic/contextual interpretation of email content. Its goal is to provide transparent, privacy-first “AI-powered email clarity” so users can understand both threats and intent behind every message. https://roxanneardary.com/emailxpose/
roxanne_ardary/emailxpose
AI-Powered Email Clarity
EmailXpose is an open source, modular AI email security and intelligence system designed to analyze email content, sender identity, links, attachments, images, and video to identify phishing, spam, scams, malware, social engineering, deception, and contextual anomalies.
EmailXpose combines conventional email security analysis with natural language processing, computer vision, multi-modal intelligence, behavioral analysis, threat intelligence, and symbolism interpretation. The system is designed to explain its findings rather than simply assigning a threat classification.
The architecture shall support local-first and offline operation, modular AI models, configurable detection policies, human review, extensible threat intelligence, and optional plugins without requiring users to depend on a specific vendor or cloud provider.
EmailXpose shall provide a unified analysis pipeline capable of accepting email messages from local files, mailboxes, supported protocols, APIs, or compatible integrations.
The system shall separate ingestion, normalization, analysis, scoring, explanation, storage, and presentation into independent modules.
Each analysis component shall produce structured findings that can be independently evaluated, combined, displayed, exported, or passed to another analysis module.
The system shall never execute untrusted email attachments directly on the host system.
The Email Ingestion Module shall provide secure mechanisms for importing email messages into EmailXpose.
Features:
The module shall pass normalized email objects to downstream analysis modules without executing active content.
The Email Header Forensics Module shall inspect technical metadata associated with email delivery and authentication.
Features:
The module shall produce structured authentication and routing findings that can be incorporated into the overall threat assessment.
The Sender Identity & Trust Module shall evaluate whether the apparent sender is consistent with known identities and organizational relationships.
Features:
The module shall support local trust information without requiring centralized collection of user contacts.
The Domain Intelligence Module shall analyze domains associated with senders, links, redirects, and embedded content.
Features:
The module shall support replaceable and configurable intelligence sources.
The Link Analysis Module shall inspect URLs without requiring the user to open them.
Features:
Link analysis shall occur within controlled network and security boundaries.
The Threat Intelligence Module shall correlate EmailXpose findings with available threat intelligence.
Features:
Threat intelligence sources shall be optional and replaceable.
The Natural Language Analysis Module shall analyze the semantic and linguistic characteristics of email content.
Features:
The module shall support multiple models and allow models to be replaced without redesigning the core application.
The Behavioral & Psychological Analysis Module shall identify social engineering and manipulation patterns within messages.
Features:
Findings shall be presented as probabilistic indicators rather than definitive statements about the sender's psychological state or intentions.
The Scam & Fraud Detection Module shall identify patterns associated with fraudulent communications.
Features:
