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- Blue team toolromainmarcoux/malicious-domainsDIGITAL Command Language · 99 stars
- Blue team toolromainmarcoux/malicious-outgoing-ipRepo · 27 stars
- Blue team toolZaczero/pihole-phishtankShell · 13 stars
Research DeskLatest update June 12, 202651 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.
29 detection readsAPT Tradecraft
Emerging procedures, tooling, initial-access patterns, and cross-team tradecraft from real-world actor reporting.
10 tradecraft readsGitHub Trends
New Today
Lead Research
The phishing lesson is that attackers do not always need a fresh credential when a trusted app token already has delegated access.
Persistent OAuth grants let third-party apps keep operating after the original login, password reset, or employee lifecycle event has faded from view.
Read more:The Hacker NewsMicrosoft Learn
Live Collection
Finance workflows remain exposed when trust signals come from compromised inboxes.
Read more:The Hacker News
Read more:The Hacker News
Read more:BleepingComputer
Trusted suppliers and developer channels can carry phishing risk past normal filters.
Read more:The Hacker News
Identity and session abuse can turn a single successful lure into account takeover.
Read more:CISA Advisories
Aggregation of lists of malicious domains (phishing) that can be integrated into FortiGate firewalls and other products. Primary language: DIGITAL Command Language. 99 stars.
Open project:GitHub
#blocklist#blocklists#domains-blacklist#domains-list
Aggregation of lists of malicious IP addresses (C2, malware, phishing), to be blocked in the LAN > WAN direction, integrated into firewalls: FortiGate, Palo Alto, pfSense, IPtables 27 stars.
Open project:GitHub
#blocklist#blocklists#c2#firewall
🐟 PhishTank Blocklist for Pi-hole Primary language: Shell. 13 stars.
Open project:GitHub
#blocklist#hosts#phishing#pihole
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. 660 stars.
Open project:GitHub
#blueteam#malware#malware-detection#malware-research
Real-time phishing & scam domain blocklist — 130k+ curated threats, 888K+ community, free API, multiple formats Primary language: HTML. 920 stars.
Open project:GitHub
#anti-phishing#blacklist#blocklist#crypto-scam
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
Scammers abusing a real Microsoft account-alert sender are part of a wider pattern: attackers are turning legitimate SaaS notification workflows into authenticated phishing infrastructure.
Read more:TechCrunchAbnormal AI
Field Analysis
Mailbox rules, OAuth grants, replayed sessions, RMM agents, and downstream account changes are not the aftermath of an intrusion — they are the point. A field guide to the persistence layer most response playbooks still treat as cleanup.
Read more:FBI IC3The Hacker News
Field Analysis
Runtimes, platforms, and brands rotate every quarter. The six handoffs that move a victim from manufactured urgency to durable persistence have barely changed in five years, and they are what defenders can actually build for.
Read more:FBI IC3Microsoft Security Blog
Field Analysis
Vendor headlines about AI phishing blend volume, effectiveness, and survey sentiment into single numbers. Defenders need to separate those measurements to instrument the threat honestly.
Field Analysis
A static permission review cannot catch a trusted integration whose token is later stolen or whose behavior changes.
Read more:The Hacker NewsMicrosoft Learn
Field Analysis
Device code phishing turns a legitimate OAuth flow into a credential-free token theft technique. Here is how it runs end-to-end and what defenders can hunt on in Sentinel and Defender XDR.
Read more:Microsoft Security BlogIETF
Field Analysis
AitM kits proxy a real identity provider page, so brand and URL checks fail. The detectable artifacts live one layer down - in TLS handshake fingerprints, in the cookies the proxy must rewrite, and in the small page-side tells that betray the relay.
Read more:SekoiaMicrosoft Threat Intelligence
Field Analysis
What started as a niche fake-CAPTCHA gimmick became one of 2026's most common stage-one execution pivots. This is what defenders are seeing in telemetry and what the response patterns look like.
Read more:Microsoft Threat IntelligenceProofpoint
Field Analysis
Detection teams are reducing alert fatigue by combining message artifacts with identity and endpoint context in tiered scoring pipelines.
Read more:Microsoft Security BlogCISA