It indicates that the geolocation of the domain’s currently active IP addresses is consistent with the geolocations observed in its historical IP usage, suggesting continuity in infrastructure location.
Three questions every analyst asks before acting on this signal.
It indicates that the geolocation of the domain’s currently active IP addresses is consistent with the geolocations observed in its historical IP usage, suggesting continuity in infrastructure location.
Alignment is determined by comparing the set of geolocations derived from current IPs with those derived from historically observed IPs. If the current geolocations fall largely within the historical geolocation set, the infrastructure is considered aligned.
This is a safe-bias contextual label. It does not indicate benign behavior on its own, but it suggests that the domain’s current infrastructure location is not a significant departure from its historical footprint.
A realistic shape of the entry the engine appends to the risk_signals array when this signal fires. Evidence keys are subgroup-default; per-signal overrides documented in the API reference.
{
"slug": "ip_geo_historical_alignment",
"name": "Current and Historical Geolocation Alignment",
"group": "dns_history",
"subgroup": "ip_geolocation_profile",
"direction": "safe",
"evidence": {
"current_countries": [
"US"
],
"historical_countries": [
"US",
"DE",
"TR"
],
"geo_consistency_score": 0.92,
"eu_false_flag_risk": false
}
}9 other signals share the same subgroup. They detect related behaviors and often co-fire on the same IOC.
It indicates that the geolocation of the domain’s currently active IP addresses significantly differs from the geolocati…
It indicates that all currently active IP addresses of a domain are geographically concentrated in a single location sco…
It indicates that the observed geolocation of the IP matches its registered geolocation, suggesting a stable and expecte…
It indicates that the IP address belongs to data center or hosting infrastructure and describes the current geographic f…
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