Skip to main content
PPPhishPondOffensive and Defensive Phishing Intelligence Journal

Offense + Defense

NewsThreat TrendsCampaign AnalysisRadarAwareness & TrainingTooling & DetectionResearchAboutSubscribe
Menu
NewsThreat TrendsCampaign AnalysisRadarAwareness & TrainingTooling & DetectionResearchAboutSubscribe

Editorial Desk

PhishPond

Editorial cybersecurity publication focused on phishing campaign intelligence, detection, mitigation, and identity defense operations.

Built for defenders who need context, not recycled scare copy.

Navigate

  • Home
  • News
  • Research
  • Subscribe

Signals

  • editorial@phishpond.dev
  • Mission & Editorial Policy
  • Weekly Brief
  • Submit Research Tip
© 2026 PhishPond. Defensive research use only.

GitHub RadarBlue team tool

hari2122/Voicephishing-detection-Ai-generated-or-not--main

An AI-based voice phishing detection system that analyzes speech patterns and linguistic features to identify fraudulent calls. Primary language: Jupyter Notebook.

Jupyter Notebook0 stars0 forkspushed Apr 26, 2026

Project links:Open GitHub projectBack to radar

README Preview

Fetched from GitHub

Voicephishing-detection-Ai-generated-or-not-

The goal of this project is to develop a system to detect Ai Generated voices (Vishing) , addressing the challenges of evolving attack tactics, large-scale detection and minimizing false positives. The system aims to enhance cybersecurity by rapidly identifying deceptive voices, ultimately mitigating risks and promoting user awareness.