Indicator

@indicator.media

Indicator.media publishes original reporting, in-depth investigations, and practical tutorials on OSINT tools & techniques. We provide engaged citizens and professionals with the knowledge they need to fight digital deception.

I'm preparing a guide on red teaming AI tools for safety. If you have background in this space, what are some essential resources you turn to frequently or have recommended to newcomers in this space? Here are a few I share:

Two Spanish operators running 20+ lookalike domains for the official sites have flooded Google with ads for {attraction name} + tickets. They then overcharge for a base ticket by a factor of 2x to 7x.

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A great, detailed, guide on web scraping tools for investigations by David Weisz, who ran three different tests on seven different scrapers. His take: "I'm blown away by the progress scrapers have made over the past decade, particularly the Chrome extensions and AI tools."

No code, no budget: 7 web scrapers put to the test

Scraping no longer demands coding skills or a big budget. Here's how seven options held up across three real-world tests.

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I'm looking for people who mistakenly booked overpriced tickets on a website that imitated the official one for any of these attractions: Alhambra, Colosseum, Louvre, Museo del Prado, Palace of Versailles, Sagrada Familia, Uffizi Galleries, Vatican Museums This is for @indicator.media

Last week, Indicator won the inaugural CJF Hinton Award for Excellence in AI Safety Reporting for our work exposing the infrastructure behind nonconsensual deepfake nude generators.

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This is what always surprises people. The ability to make deepfake nudes isn't hidden in some dusty, hard to access part of the internet. It's available in the most accessible ways like the Google Play store and the Apple App store. Anyone with a cell phone can make a deepfake nude in minutes.

Alexios Mantzarlis@mantzarlis.com · 2mo ago

New on @indicator.media: We have long known that some "face swapping" apps market themselves as deepfake nude generators. At least one of these was used in a recent case in a US high school. But new research shows the majority of these tools do not have any guardrails against nonconsensual abuse.

New on @indicator.media: We have long known that some "face swapping" apps market themselves as deepfake nude generators. At least one of these was used in a recent case in a US high school. But new research shows the majority of these tools do not have any guardrails against nonconsensual abuse.

Most faceswap apps in the Apple and Google stores could be used to make deepfake nudes

Apple and Google removed 43 apps flagged by Indicator

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I'm a former Community Notes super-user interviewed for this piece. Whether the notes are written by people or language-mimicking algorithms, the central flaw of Twitter's Community Notes is the same as it's always been: it's a "fact-checking" system that doesn't involve the checking of facts.

Alexios Mantzarlis@mantzarlis.com · 2mo ago

Today on @indicator.media: A handful of anonymous bots have taken over fact-checking on X. This isn’t hyperbole. In the first three weeks of May, just eight AI contributors wrote 50.3% of all visible Community Notes on the platform.