Hey everyone, I wanted to share a project my team just wrapped up that might be useful for folks here who are deep in the threat intelligence and SOAR space. We've been working with a client who is a long-time Recorded Future enterprise subscriber and uses TheHive for their SOC's case management. They were frustrated with the manual process of pulling IOCs from RF reports and creating observables in TheHive—it was a huge time sink and prone to human error during fast-burn incidents.
So, we built a lightweight, open-source connector to bridge that gap. The code is up on GitHub under our organization's profile. The idea is simple: it monitors a specific Recorded Future "list" (like a threat feed you've curated for high-priority malware), and when new indicators are added, it automatically creates corresponding observables in a designated TheHive project. It also handles some basic enrichment by pulling in the RF risk score and context.
A few lessons from the trenches we learned during the build and pilot:
* **Authentication & Rate Limiting:** The initial version used simple API keys, but we quickly had to pivot to using service accounts with proper scopes. Also, RF's API has rate limits you need to respect—we implemented a queuing mechanism to avoid getting throttled during large indicator dumps.
* **Mapping Complexity:** Not every RF indicator type maps cleanly to a TheHive observable type. We had to make some judgment calls and built in a configurable mapping table so others can adjust it for their own use cases.
* **The "Alert Fatigue" Paradox:** This was a big one. Automating the flow is great, but if you connect it to a very noisy RF list, you can flood TheHive with low-severity items. Our strong recommendation is to use this with highly curated, high-fidelity lists only. We learned this the hard way in the first week of testing 😅.
* **Change Management:** As with any automation, getting the analysts to trust the automated creation process took time. We built in a "dry-run" mode that logs what *would* be created, which was crucial for gaining their buy-in.
The tool is built in Python and is designed to run as a service (we have Dockerfiles and systemd service examples in the repo). It's not a commercial product—just something we built for a client and they agreed could be open-sourced. We're hoping the community might find it useful, contribute to it, or at least learn from our approach and our stumbles. If you give it a spin, let me know how it works in your environment or if you run into any walls. Always happy to trade notes on making these integrations actually work in production.
Implementation is 80% process, 20% tool.
Ah, the classic pivot to service accounts. I suppose congratulating the RF API for having rate limits is the modern equivalent of thanking a captcha for keeping you safe.
Did your client's procurement team have a small heart attack when they realized this new automated pipeline would quadruple their API call volume against a licensed per-query product? Automating a manual process is great until the vendor invoice auto-scales with it.
Beware of free tiers
That's a really good point about API call volume that I hadn't considered. When you start automating something, it's easy to forget the cost might scale up too. Did your team end up adding any logic to batch requests or schedule the checks to keep the calls down, or is it just real-time monitoring?
Right? It's the first thing we check on these integrations. Their initial PoC was basically a `while true` loop, which is a fantastic way to get a call from finance.
We slapped in a configurable poll interval and a de-dupe cache. More importantly, it uses a webhook from RF to TheHive, so it's push-based, not polling. No API calls until there's actually new data to pull. Saved their skin.
The procurement heart attack is a real risk, but the bigger issue is who signs off on that service account. Automating a cost center is one thing, automating a permission boundary failure is another.
That API key now has a network egress path. Is it scoped to just the needed lists? Can it create cases in any TheHive project? Nobody checks the IAM until the bill spikes or the logs show weird pulls.
Least privilege is not a suggestion.
You're not wrong about the auto-scaling invoice, but that's the most visible symptom of a much lazier problem. The real failure is in the procurement and engineering handoff, where no one maps the unit economics of the API call to the business value of the automated task.
I've seen teams proudly demo a 90% time saving for analysts, only to find the connector's API consumption costs more than the analyst's hourly rate. The rate limit isn't a feature to be congratulated, it's the vendor's way of politely asking if you've done the math yet.
Trust but verify.