{"id":278177,"date":"2026-06-22T04:01:00","date_gmt":"2026-06-22T08:01:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/06\/22\/separating-fact-from-fiction-on-the-technology-used-to-detect-csa\/"},"modified":"2026-06-22T04:15:15","modified_gmt":"2026-06-22T08:15:15","slug":"separating-fact-from-fiction-on-the-technology-used-to-detect-csa","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/06\/22\/separating-fact-from-fiction-on-the-technology-used-to-detect-csa\/","title":{"rendered":"Separating Fact From Fiction On The Technology Used To Detect CSA"},"content":{"rendered":"

Separating Fact From Fiction On The Technology Used To Detect CSA<\/a><\/p>\n

https:\/\/www.iwf.org.uk\/news-media\/blogs\/separating-fact-from-fiction-on-the-technology-used-to-detect-child-sexual-abuse\/<\/a><\/p>\n

Publish Date: 2026-06-22 04:01:00<\/a><\/p>\n

Source Domain: www.iwf.org.uk<\/a><\/p>\n

The internet already runs on hashing technology<\/h3>\n

A common myth is that child sexual abuse material (CSAM) detection technologies use unprecedented techniques to identify content online.\u00a0Hash matching, for instance, is the most tried and tested form of detecting known content, including illegal content such as malware and viruses, alongside images and videos of child sexual abuse.<\/p>\n

Hashing algorithms such as MD5 or SHA256 are foundational tools used across digital systems worldwide. They help verify file integrity, secure passwords, synchronise databases and ensure that systems can compare data quickly and accurately without exchanging the files themselves.<\/p>\n

At its simplest, hashing converts a file into a unique mathematical signature. If two signatures match, the underlying files match. That principle is not controversial and underpins much of modern computing.<\/p>\n

Hashing is used in CSAM detection to identify illegal images and videos that are already known to child protection organisations or law enforcement. The system does not view personal content \u2013 in essence, hash matching asks \u201cis this number in the database\u201d. If it is, we know the content is an image of a child being sexually abused. Hashing is central to the efforts of IWF, and many other hotlines, efforts to tackle the spread of CSAM.<\/p>\n

\u00a0<\/p>\n

These technologies are not new<\/h3>\n

Another myth is that CSAM detection technologies are immature or unreliable. However, perceptual hashing technologies, which have been designed to identify near-duplicate images even if they have been cropped, resized or slightly altered, have existed for decades.<\/p>\n

Technologies such as PhotoDNA were developed specifically to combat the persistent recirculation of known abuse imagery. They can recognise images even if they have been modified to evade detection.<\/p>\n

Again, this is not new in the wider technology ecosystem. Similar forms of matching, detection and upload prevention are already used extensively in cybersecurity….<\/p>\n

Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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