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Research DeskLatest update June 12, 202652 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.
30 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
An automated phishing tool with 35 templates (Updated version of zphisher) . This Tool is made for educational purpose only ! Author will not be responsible for any misuse of this toolkit ! Primary language: HTML. 24 stars.
Open project:GitHub
#ethical-hacking#ethical-hacking-tools#hack#hacking
Real-time phishing & scam domain blocklist — 130k+ curated threats, 888K+ community, free API, multiple formats Primary language: HTML. 919 stars.
Open project:GitHub
#anti-phishing#blacklist#blocklist#crypto-scam
Sublime rules for email attack detection, prevention, and threat hunting. Primary language: YAML. 364 stars.
Open project:GitHub
#email-security#phishing#threat-hunting
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
Standalone man-in-the-middle attack framework used for phishing login credentials along with session cookies, allowing for the bypass of 2-factor authentication Primary language: Go. 5 stars.
Open project:GitHub
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
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