CyberThreat-Nlp-Intelligence-System

🛡️ CyberGuard AI — Cyber Threat Intelligence System An AI-p...

caver (=0.0.1), distilbert-punctuator (>=0.2.0 <=0.3.0) +1 more potentially affected by CVE-2026-30244 via plane (=0.2.1)

plane PYPI version =0.2.1 is affected by a known vulnerability. The following packages have a transitive dependency on plane and may be impacted: - caver =0.0.1 - distilbert-punctuator =0.2.0, =0.0.5, =0.0.8 Source cves: CVE-2026-30244 Source advisory: OSV:GHSA-87X4-J8VH-P5QF...

caver (=0.0.1), distilbert-punctuator (>=0.2.0 <=0.3.0) +1 more potentially affected by CVE-2026-30242 via plane (=0.2.1)

plane PYPI version =0.2.1 is affected by a known vulnerability. The following packages have a transitive dependency on plane and may be impacted: - caver =0.0.1 - distilbert-punctuator =0.2.0, =0.0.5, =0.0.8 Source cves: CVE-2026-30242 Source advisory: OSV:GHSA-FPX8-73GF-7X73...

Semantic Superiority Vs. Forensic Efficiency: A Comparative Analysis of Deep Learning and Psycholinguistics for Business Email Compromise Detection

Business Email Compromise BEC is a sophisticated social engineering threat that manipulates organizational hierarchies and exploits psychological vulnerabilities, leading to significant financial damage. According to the 2024 FBI Internet Crime Report, BEC accounts for over $2.9 billion in annual...

Explainable Transformer-Based Email Phishing Classification with Adversarial Robustness

Phishing and related cyber threats are becoming more varied and technologically advanced. Among these, email-based phishing remains the most dominant and persistent threat. These attacks exploit human vulnerabilities to disseminate malware or gain unauthorized access to sensitive information. Dee...

Dual-Path Phishing Detection: Integrating Transformer-Based NLP with Structural URL Analysis

Phishing emails pose a persistent and increasingly sophisticated threat, undermining email security through deceptive tactics designed to exploit both semantic and structural vulnerabilities. Traditional detection methods, often based on isolated analysis of email content or embedded URLs, fail t...

Leveraging Large Language Models for SQL Behavior-Based Database Intrusion Detection

Database systems are extensively used to store critical data across various domains. However, the frequency of abnormal database access behaviors, such as database intrusion by internal and external attacks, continues to rise. Internal masqueraders often have greater organizational knowledge,...