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Authorities detect and track visitors to child sexual abuse material (CSAM) websites using a combination of technical infiltration, forensic collection, covert operations, and cooperation with private...
Police routinely use IP addresses as an investigative starting point in child sexual abuse material (CSAM) cases, and specialised tools can flag thousands of IPs for follow-up; but investigators do no...
Platforms and safety vendors use a mix of hash-matching (cryptographic and perceptual), machine‑learning classifiers for unknown/novel CSAM, text analysis for grooming/sextortion, and platform-level w...
The claim “12000 arrested” is ambiguous and context‑dependent: multiple reliable accounts show , but several other sources either report much smaller tallies or contain no relevant data. The figure is...
Available reporting does not provide a single, validated national percentage for how many law‑enforcement CSAM investigations are “proactive”; the evidence instead shows that the vast bulk of work is ...
The Child Rescue Coalition’s Child Protection System (CPS) does analyze chatroom content in at least two documented ways: by capturing and indexing public chatroom messages to detect grooming and by p...
Child Rescue Coalition (CRC) claims to track online child predators "in real time" by monitoring file‑sharing networks and indexing tens of millions of suspect records daily, flagging when users share...