Threadlinqs gives threat hunters the intelligence, correlation, and simulation tools to move from reactive response to proactive defense. 5,575+ IOCs, 166 actor profiles, attack simulations, and a Wild C2 intelligence center in one platform.
Effective threat hunting follows a structured methodology. Threadlinqs provides the intelligence foundation for every phase.
Phase 1 — Hypothesize: Use the threat feed, actor attribution explorer, and daily debriefs to identify which campaigns are active and which techniques are trending. Form hypotheses like "APT29 may be using domain fronting in our environment based on the infrastructure overlap identified in TL-2026-0187."
Phase 2 — Investigate: Pivot across IOCs, MITRE techniques, and actor profiles. Use the correlation engine to find shared infrastructure between seemingly unrelated threats. Run attack simulations to understand the exact behavior you are looking for.
Phase 3 — Discover: Export detection rules and IOC watchlists into your SIEM. Cross-reference DNS enrichment data with your network logs. Use timeline reconstruction to understand campaign progression.
Phase 4 — Respond: Document findings, deploy new detections, and update your hypothesis backlog. The platform tracks which threats have coverage and which remain detection debt.
Threat reports from CISA, vendor blogs, ISAC bulletins, and Twitter are consumed in isolation. Cross-referencing IOCs from one report against another requires manual spreadsheet work that does not scale.
You know the threat actor name, but not their aliases, tooling overlap, infrastructure patterns, or nation-state alignment. Without full actor profiles, hunting hypotheses remain shallow.
You suspect a specific attack chain, but cannot validate it without running a simulation. Red team engagements are expensive and infrequent. You need on-demand simulation data to refine your hunt queries.
Command-and-control infrastructure changes daily. Without real-time C2 beacon tracking, watermark analysis, and operator clustering, you are hunting with stale infrastructure data.
Every IOC on the platform is linked to the specific threats that use it. Search for an IP address and immediately see every campaign it appears in, its DNS resolution history, and which other indicators share infrastructure.
Network indicators (IPs, domains, URLs), file hashes, and behavioral patterns. DNS enrichment with WHOIS data, resolution history, and ASN mapping. Pivot from any indicator to the full threat graph.
The radial mind-map visualization shows every dimension of an actor profile: MITRE techniques, IOCs, timeline events, CVE exploitation, tools, detections, targets, and related campaigns. Filter by nation-state, search by alias, and explore tool overlap between groups.
Nation-state flags, alias tracking, severity distributions, category breakdowns, and cross-actor shared entity analysis. Pan, zoom, and expand branches for deep investigation.
Threadlinqs provides structured attack simulations that map to real threat campaigns. Each simulation includes step-by-step attack procedures, expected telemetry, and corresponding detection rules so you can validate your hunting queries against known attack patterns.
Each simulation is tied to a specific threat ID with MITRE technique mapping. Use these to build and validate hunt queries before deploying them against production data.
The Wild C2 module tracks live command-and-control infrastructure across the internet. Seven tabs cover beacons, configurations, watermarks, operators, timelines, statistics, and cross-intel correlation.
IP match, domain match, tag match, actor tool match, watermark cluster, MITRE technique overlap, nation proximity, timeline proximity, domain fronting detection, and behavioral fingerprinting. Nine visualization sections for deep C2 analysis.
Every threat includes a chronological timeline of campaign events with dated references. Reconstruct how a campaign evolved from initial access to impact, and identify which phases may still be active in your environment.
From hypothesis to detection deployment.
Export IOC watchlists and detection rules directly into your hunting stack. SPL hunt queries for Splunk, KQL analytics for Microsoft Sentinel, and Sigma rules for any compatible SIEM. The MCP server enables AI-assisted hunting workflows where your LLM can query the Threadlinqs API to enrich hypotheses in real time.
Free tier includes the threat feed and MITRE coverage. Purple tier unlocks simulations, Wild C2, correlations, and the full hunting toolkit.
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