They recently added GeoIP to their data and in the bit of testing I was able to do before I left it was scary good. I also had an amusing chat with one of their engineers at a conference about how you can spoof IPInfo's location probes...
They recently added GeoIP to their data and in the bit of testing I was able to do before I left it was scary good. I also had an amusing chat with one of their engineers at a conference about how you can spoof IPInfo's location probes...
Interesting. I would love to know how this is possible. Like with Geofeed or something else?
We have tons of historical traceroute data patterns, and generic traceroute behaviors are likely modeled out internally. So, if you can spoof the traceroute to your IP address, our traceroute-based location hint scoring weight for that IP address will decrease, and we will rely on the other location hints.
You have to be extremely deliberate to misguide us. But I would love to see this in action, though.
The problem is that everyone knows we are the most accurate data provider and our growth is exponential. To my knowledge, most cybersecurity teams use our data to some degree. We cannot risk having any secrets out there that could disrupt the accuracy of the system. We are aware of several cases where accuracy may be affected, with the most notable being adversarial geofeed submissions.
If the issue is an adversarial geofeed submission, it is a well-known problem. When active measurement fails, we have to fallback to some location hint. There are layers of location hints we have to fall through to ultimately landing on echoing geofeed location hint.
But aside from that... I'm not sure what could possibly impact us. A substantial systemic malicious change in data accuracy seems highly unlikely and quite impossible.