GitHub Trends
Project Radar
- Dual-use projectphishdestroy/destroylistHTML · 1,762 stars
- Blue team toolromainmarcoux/malicious-domainsDIGITAL Command Language · 115 stars
- Blue team toolromainmarcoux/malicious-outgoing-ipRepo · 40 stars
Research DeskLatest update July 19, 202659 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.
32 detection readsAPT Tradecraft
Emerging procedures, tooling, initial-access patterns, and cross-team tradecraft from real-world actor reporting.
15 tradecraft readsGitHub Trends
New Today
Lead Research
The authentication failures look fragmented by app, but the campaign becomes visible when defenders pivot on missing app names, error semantics, source behavior, and tenant-wide volume.
Two large Entra ID campaigns used hundreds of thousands to millions of fictional OAuth client IDs to spread account enumeration across apparent applications.
Live Collection
Mailbox and payment workflow abuse creates business risk without malware.
Read more:Microsoft Security Blog
Identity and session abuse can turn a single successful lure into account takeover.
Read more:CISA Advisories
Identity and session abuse can turn a single successful lure into account takeover.
Read more:CISA Advisories
Finance workflows remain exposed when trust signals come from compromised inboxes.
Read more:Malwarebytes Labs
Identity and session abuse can turn a single successful lure into account takeover.
Read more:The Hacker News
Real-time phishing & scam domain blocklist - 208k+ curated threats, 1M+ community, free API, multiple formats Primary language: HTML. 1,762 stars.
Open project:GitHub
#anti-phishing#blacklist#blocklist#crypto-scam
Aggregation of lists of malicious domains (phishing) that can be integrated into FortiGate firewalls and other products. Primary language: DIGITAL Command Language. 115 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 40 stars.
Open project:GitHub
#blocklist#blocklists#c2#firewall
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. 681 stars.
Open project:GitHub
#blueteam#malware#malware-detection#malware-research
🐟 PhishTank Blocklist for Pi-hole Primary language: Shell. 13 stars.
Open project:GitHub
#blocklist#hosts#phishing#pihole
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 1 matching entry.Clear search
Field Analysis
Proofpoint's UNK_MassTraction investigation shows how a low-volume email can execute in vulnerable Roundcube, steal the live session, and pivot into server compromise.
Read more:Proofpoint Threat ResearchNIST National Vulnerability Database