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Is this active now?
Recent observations are separated from older history so analysts can avoid treating old activity as current risk.
IP intelligence without the false certainty
Understand an IP address in the context of the internet.
IPContext.io is being built as a single pane of glass for analysts who need to understand what has been seen from an IP address, when it was seen, and whether the activity appears isolated, broad, targeted, current or historical.
Early access pages are live while the data platform is prepared. The first public release will focus on recent IP activity, honeypot observations, subnet context and transparent event evidence.
What IPContext aims to answer
Many tools can tell you that an IP has been observed before. IPContext is focused on the next question: what does that observation mean today?
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Is this targeted or widespread?
Honeypot correlation helps show whether activity was seen across multiple environments or only against a narrow set of assets.
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What is nearby?
Subnet context can help identify whether similar behaviour is present across neighbouring IPs, hosting ranges or residential pools.
Evidence before scoring
IPContext does not start with a universal good-or-bad score. Different organisations have different tolerance levels. Some welcome benign scanning, research crawlers or public measurement. Others treat the same activity as unwanted.
Our goal is to show the crumbs on the ground: events, timestamps, ports, protocols, geography of sensors, subnet behaviour and trend changes.
Important
Context is not an accusation
Observed traffic from an IP address does not prove wrongdoing by the owner or subscriber of that address. Compromised hosts, shared infrastructure, VPNs, NAT, dynamic residential assignment and automated services can all affect attribution.