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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
http://iplists.firehol.org/ looks free and very comprehensive. It has whole bunch of sub-lists of IPs that are likely to be sources of abuse, including datacenters and VPNs, and it gets updated frequently. Github: https://github.com/firehol/firehol
http://iplists.firehol.org/ looks free and very comprehensive. It has whole bunch of sub-lists of IPs that are likely to be sources of abuse, including datacenters and VPNs, and it gets updated frequently. Github: https://github.com/firehol/firehol
1. Grab the list of IPs that you've already identified and feed them through shodan.io or nrich (https://gitlab.com/shodan-public/nrich): "nrich bad-ips.txt"
2. See if all of the offending IPs share a common open port/ service/ provider/ hostname/ etc. Your regular visitors probably connect from IPs that don't have any open ports exposed to the Internet (or just 7547).
3. If the IPs share a fingerprint then you could lazily enrich client IPs using https://internetdb.shodan.io and block them in near real-time. You could also do the IP enrichment before returning content but then you're adding some latency (<40ms) to every page load which isn't ideal.