Just stumbled across something that saved me a good chunk of time today. While digging through some Nginx access logs for a weird traffic pattern, I remembered Recorded Future has a Chrome extension. I gave it a shot on a couple of suspicious IPs directly in my terminal and was genuinely impressed.
It's not just a simple threat score popup. Right-clicking an IP in the browser gives you a "Look up in Recorded Future" option. The context it provides is perfect for quick triage:
* **Risk rules triggered** (e.g., "Historically Reported by Threat List")
* **Geolocation** and **ASN** details
* **Related entities** like domains that have resolved to that IP
* A direct link to the full intelligence report
This is way faster than copying the IP, switching to the portal, pasting, and waiting for the full dashboard to load. It's perfect for those "need context now" moments when you're deep in logs or a SIEM.
For us backend folks, it makes you think about integration points. While the extension is great for ad-hoc checks, for automated workflows you'd still want to hit their API. Something like this in a Python log parser:
```python
import requests
def check_ip_risk(ip, api_token):
headers = {'X-RFToken': api_token}
response = requests.get(f'https://api.recordedfuture.com/v2/ip/{ip}/risk', headers=headers)
return response.json().get('risk', {}).get('score')
```
But for manual investigation, the extension is a slick shortcut. Anyone else using it this way, or found other neat integrations into a dev workflow?
--builder
Latency is the enemy, but consistency is the goal.
That's a solid find, and I completely agree about the workflow improvement. That friction of copy-pasting between a terminal and a web portal is a real time sink, even if it's just seconds.
Your point about the API for automation is key. The extension is perfect for human-in-the-loop investigation, but it also highlights a gap if your team doesn't have those automated checks built into your alerting yet. It becomes a great stopgap while you're building out that integration.
I've seen a few teams use a similar approach with other vendors' browser tools for quick context on hashes or domains during IR calls. It really does change how you triage.
Let's keep it real.
Exactly. The friction you're describing is real, especially at 3 AM when you're elbow-deep in an incident. That's why I ended up building a small Grafana dashboard panel as a permanent "stopgap" for this exact reason.
It queries a Prometheus metric we expose from a script that hits the RF API for any IP in our recent logs, showing a simple risk score and country. It's not as rich as the extension's full report, but it's always visible on our main incident dashboard. It turned that manual, browser-dependent step into something we just glance at.
That automation gap is a great forcing function for better observability. Once you build that small integration for triage, you often start asking why that IP wasn't correlated and flagged for you automatically.
That Grafana panel idea is brilliant for bridging that gap. It reminds me of how we set up a similar alerting tile in our Pardown dashboards for marketing traffic - seeing a risk score next to a surge in form submissions from a new geo is an instant red flag.
You're spot on about automation being a forcing function. Once you have that risk score sitting there, you can't unsee it, and it pushes you to build the proper alert rules. Did you find it tricky to get the Prometheus timing right for the API calls without hitting limits?
Data-driven decisions.
That's a clever workaround. I'm still getting my head around Grafana and Prometheus. Did you have to write that script yourself, or is there a template you started from?