GitHub Trends
Project Radar
- Blue team tool0xDanielLopez/TweetFeedRepo · 694 stars
- Blue team toolphishdestroy/destroylistHTML · 2,092 stars
- Blue team toolsjhgvr/oisdRepo · 272 stars
Research DeskLatest Research: October 15, 2026News Feed Refresh: October 26, 2026Radar Refresh: October 26, 202664 research entries
Independent Research Desk
Phishing Tradecraft · Infrastructure · Detection Engineering
PhishPond researches how modern phishing operations are built, run, and detected — campaign evolution, adversary infrastructure, phishing kits, OAuth and device-code abuse, AiTM frameworks, and the detection and validation workflows that catch them.
Recurring Intel
Attack-Side Tradecraft
Campaign tradecraft, lure mechanics, adversary infrastructure, identity pressure, and operator workflows worth modeling.
12 attack-side readsDetection Engineering
Detection engineering, telemetry analysis, reporting workflows, and validation that security teams can operationalize.
34 detection readsAPT Tradecraft
Emerging procedures, tooling, initial-access patterns, and cross-team tradecraft from real-world actor reporting.
18 tradecraft readsGitHub Trends
Lead Research
Enrollment urgency is the oldest helpdesk pretext wearing a new word. The objective is still a session token, and the tell is still Graph.
Microsoft tracked Storm-3121 and Storm-3032 running passkey-themed helpdesk calls since May 2026. The passkey narrative is a pretext that routes victims into AiTM and device-code flows — and the detection lives in what happens after the token lands, not in the lure.
Read more:Microsoft Security BlogBleepingComputer
Live Collection
Read more:BleepingComputer
Read more:Microsoft Security Blog
Read more:Dark Reading
Read more:Malwarebytes Labs
Read more:BleepingComputer
TweetFeed collects Indicators of Compromise (IOCs) shared by the infosec community at Twitter. Here you will find malicious URLs, domains, IPs, and SHA256/MD5 hashes. 694 stars.
Open project:GitHub
#blueteam#malware#malware-detection#malware-research
Real-time phishing & scam domain blocklist - 205k+ curated threats, 1M+ community, free API, multiple formats Primary language: HTML. 2,092 stars.
Open project:GitHub
#anti-phishing#blacklist#blocklist#crypto-scam
oisd blocklist 272 stars.
Open project:GitHub
#adblocking#adblocking-dns#adblocking-list#adblocklist
🐟 PhishTank Blocklist for Pi-hole Primary language: Shell. 13 stars.
Open project:GitHub
#blocklist#hosts#phishing#pihole
Zeek-Formatted Threat Intelligence Feeds Primary language: Zeek. 405 stars.
Open project:GitHub
#malware#phishing#threat-intelligence#threatintel
Coverage Map
Specific campaigns, actor activity, and the lures behind them.
How techniques work end-to-end — walkthroughs and operator workflows.
Adversary infrastructure: kits, AiTM, redirectors, and sending abuse.
Detection engineering, telemetry, validation, and response.
Longer research notes, measurement, and periodic briefs.
Search Tool
Search titles, authors, tags, and body text across the PhishPond research archive.
Showing 3 matching entries.Clear search
Field Analysis
Google's 2026 public-sector M-Trends brief says vishing reached 11 percent of global infections, sharpening the case for stronger help-desk recovery and device-enrollment controls.
Read more:Google CloudMicrosoft Security Blog
Field Analysis
Actor reporting on Octo Tempest and Scattered Spider shows how phishing, help desk social engineering, MFA reset abuse, and remote access tooling combine into identity-first intrusion chains.
Read more:CISAMicrosoft Security Blog
Field Analysis
New phishing kits are pivoting from simple password theft to real-time token capture and replay workflows targeting modern MFA deployments.
Read more:The Hacker NewsThe Hacker News