Roadmap
Upcoming innovations
Here's what's next for Chawkr: function-level malware intelligence and persistent threat workspaces.
Static Insight: Deep malware analysis & code similarity
Static Insight takes malware analysis beyond surface-level indicators. Submit samples in volume and get a deep structural breakdown of what a binary is built to do. No sandboxing, no dynamic execution: it's purely static, intelligence-driven analysis.
Threat actors reuse code. Static Insight finds it. By analyzing the internal structure of binaries, it surfaces similarities that traditional hash-based or behavioral approaches miss, and extracts IOCs for immediate operational use.
Key capabilities:
We break binaries down and examine them in depth, well beyond file hashes or metadata, to show what a sample is built to do.
Samples are assessed for malicious intent at a granular level. The analysis pinpoints what makes a file dangerous, not just whether it is.
Samples that share meaningful structural traits get surfaced as related, cutting through noise to reveal actual code reuse across threat actor toolkits.
Indicators of compromise are extracted directly from static analysis. Combined with derived tags and features, the output is ready for operational use, or for feeding into HiveMind to enrich your broader threat map.
Analyze samples at volume. Each file gets a verdict informed by deep structural analysis, so you can triage at scale without manual reverse engineering.
From binary to intelligence
Static Insight turns raw malware samples into structured, actionable intelligence. It shows which code is shared across campaigns, extracts IOCs, and feeds results into HiveMind to connect malware insights with infrastructure analysis, all without executing a single sample.
Expected release: In the near future.
HiveMind: Your threat intelligence workspace
ClusterHawk already identifies threat infrastructure through deep analysis. HiveMind gives you a dedicated workspace to collect, organize, and build on those results over time, so you end up with your own evolving threat map tailored to the adversaries you track.
As you add more clusters to your workspace, the system progressively learns the fingerprints of the infrastructure you care about. The intelligence gets sharper with every addition. Instead of a single snapshot, you get a picture of the threats in your environment that keeps improving over time.
What HiveMind enables:
Export clusters from ClusterHawk into a persistent workspace, then select and append what matters to your operations. The result is a map built around your threat landscape, not a generic feed.
Every cluster you add teaches the system more. Trigger relearning as your workspace grows, and the models refine their understanding of the infrastructure profiles you're tracking.
Layer in results from Static Insight (IOCs, function-level analysis, code similarity) along with external sources, adding depth and context to every cluster in your workspace.
Start with ten clusters or a hundred. Over time, your workspace becomes a comprehensive, interconnected view of the threat actors and infrastructure you care about most.
Clusters carry the intelligence that built them. When your workspace highlights a connection between infrastructure groups, you see the evidence behind it, including what actually ties them together.
From analysis to ongoing intelligence
HiveMind bridges the gap between individual ClusterHawk analyses and long-term threat tracking. Build your map, let the system learn, and watch isolated data points become a connected intelligence picture that evolves as threats do.
Expected release: In the near future.