10,168 IOCs, 214 threat actors, and cross-correlation intelligence to fuel your hunts — from hypothesis to validation.
[ start_hunting ]You can query your SIEM all day. Without the right intelligence behind the hypothesis, you're looking for a needle in a haystack the size of a continent.
Actor intel lives in one feed. IOCs come from another. MITRE mappings are in a spreadsheet. CVE data is on yet another platform. Building a complete picture of a threat actor requires six browser tabs, three API calls, and an hour of manual correlation. By then, the hunt window has closed.
Your threat feed tells you APT29 is active. But what tools are they using this quarter? Which new infrastructure have they spun up? What techniques have they added to their playbook since the last advisory? Partial profiles lead to partial hypotheses, which lead to missed detections.
Two threat reports mention the same C2 IP, but they attribute it to different actors. Is it shared infrastructure? An operational relay? A compromised host reused by multiple groups? Without cross-correlation across your entire intelligence corpus, these connections remain invisible — and so do the operators behind them.
You read the report, identify the techniques, and manually map them to the MITRE framework. Then you compare against your detection coverage. Then you identify the gaps. Every step is manual, every step introduces error, and every step takes time you could spend actually hunting.
Unified intelligence with cross-correlation built in. Every data point connected to every other data point.
Every IOC in Threadlinqs is enriched with data from ThreatFox, MalwareBazaar, and AbuseIPDB. Network indicators include DNS resolution history, ASN ownership, geolocation, and hosting provider. File indicators include hashes across MD5, SHA-1, and SHA-256, plus associated malware families. Behavioral indicators are mapped to MITRE techniques with confidence scoring. When you search an IP, you don't get a reputation score — you get its entire operational history.
The Actor Attribution Explorer provides complete dossiers for 214 tracked threat actors. Each profile includes known aliases, nation-state attribution, targeted sectors, associated campaigns, full MITRE technique coverage, IOC inventory, detection rules, and timeline of activity. The radial mind-map visualization shows relationships between an actor's tools, targets, infrastructure, and techniques — all interactive, all explorable.
Threadlinqs runs 10 correlation types across the entire intelligence corpus: IP matching, tag overlap, actor tool sharing, watermark clustering, MITRE technique similarity, nation-state proximity, timeline proximity, domain matching, domain fronting detection, and behavioral fingerprinting. When two actors share infrastructure, the correlation engine surfaces it automatically — complete with confidence scores and evidence chains.
Submit any domain or IP to the DNS enrichment engine. Get full resolution history, associated domains, hosting provider changes over time, and connections to known threat infrastructure. The Wild C2 Intelligence Center tracks active command-and-control servers across frameworks — Cobalt Strike, Sliver, Havoc, Mythic, and more — with beacon configuration extraction and operator clustering.
Every actor dossier is a complete intelligence package. Here's what a single profile contains.
How threat hunters use Threadlinqs from hypothesis to validation.
Browse the Actor Attribution Explorer. Filter by nation-state, severity, or sector targeting. Select an actor of interest based on relevance to your environment.
Explore the actor's MITRE technique coverage. Identify techniques they favor — initial access vectors, persistence mechanisms, exfiltration methods. Understand the playbook.
Pull the actor's IOC inventory. Cross-reference against your environment logs. Check for DNS resolution matches, file hash hits, and network connection overlaps.
Combine TTP patterns with IOC hits to form a hunting hypothesis. Use the cross-correlation engine to find shared infrastructure with related actors.
Copy relevant SPL, KQL, or Sigma rules from the actor's detection set. Deploy as scheduled searches or real-time alerts in your SIEM.
Use attack simulations mapped to the actor's techniques. Confirm detections fire. Document findings and close the hunt loop with evidence.
Every indicator is enriched with data from trusted external sources, not just our own research.
Cross-referenced indicators with ThreatFox's community-sourced IOC database. Malware family classification, first-seen timestamps, and reporter confidence levels augment every matched indicator in the Threadlinqs feed.
File hash indicators are checked against MalwareBazaar's sample repository. Matching samples provide additional context: packer information, YARA rule matches, execution behavior, and associated campaigns from the broader research community.
Network indicators are enriched with AbuseIPDB reputation data including abuse confidence scores, report counts, ISP information, and usage type classification. High-confidence abusive IPs are flagged for immediate attention in hunt workflows.
The Wild C2 module continuously tracks command-and-control servers across Cobalt Strike, Sliver, Havoc, Mythic, and other frameworks. Beacon configurations are extracted and analyzed for watermark clustering and operator fingerprinting — connecting infrastructure to operators across campaigns.
214 actor profiles with radial mind-map visualization. Browse by nation-state, severity, or sector. Interactive branch expansion for MITRE, IOCs, tools, and targets.
10,168 indicators searchable by value, type, or associated actor. DNS resolution, ThreatFox cross-reference, and campaign context in every result.
Active C2 server tracking with beacon config extraction, watermark clustering, operator fingerprinting, and cross-campaign infrastructure correlation.
Submit domains and IPs for live DNS resolution, hosting history, associated infrastructure, and connections to known threat actor networks.
10 correlation types across 7 engines: MITRE heatmap, adversary infrastructure, IOC consensus, CVE velocity, attribution networks, detection debt, and enrichment overview.
Real-time threat feeds, daily debriefs, and IOC context that accelerates alert triage and threat response across every shift.
3,553 production-ready rules in SPL, KQL, and Sigma. Browse, filter, copy, and deploy to your SIEM in seconds.
10,168 IOCs, 214 actors, and 10 correlation types — everything you need to build hypotheses that find adversaries.
[ start_hunting ]