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- 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.
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Field Analysis
A fake recruiter asking a candidate to review an MVP repo shows why unsolicited source code is not a document. It is an executable threat surface with access to developer secrets.
Field Analysis
Socket attributes a coordinated supply-chain campaign called TrapDoor to roughly thirty-four packages across npm, PyPI, and Crates.io, with ecosystem-specific execution paths and a new twist: planted .cursorrules and CLAUDE.md files designed to influence the developer's AI coding assistant.
Read more:SocketThe Hacker News
Field Analysis
GitHub's staged publishing and new npm install-source controls give maintainers practical ways to slow compromised CI/CD paths before a malicious package becomes installable.
Read more:GitHub ChangelogCISA
Field Analysis
Recent package compromises show how developer trust can be abused to harvest credentials and seed downstream phishing risk.
Read more:BleepingComputerCISA