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From TikTok to the Streets? Why 17 October Could Matter for France
Can a viral date become a real-world movement? This case study examines France’s planned 17 October mobilisation: how fuel anxiety, education protests and online amplification can converge around a single focal point. It traces the path from narrative to mobilisation, trigger and escalation—and explains why shared locations and logistics matter more than hashtags.

Nico Dekens | dutch_osintguy
Oct 927 min read


Google Is Automation Too? Why Public-Sector OSINT Gets Blocked
Public-sector investigators are often allowed to search manually but blocked from using OSINT tools that search the same public internet. That is not a legal strategy. It is time for legal teams and leadership to do better.

Nico Dekens | dutch_osintguy
Oct 714 min read


Phishing Campaign Identified: How OSINT Exposed a Real Calendly Link in a Fake Bloomberg Interview invite trough a x.com DM
A targeted phishing campaign used a fake Bloomberg persona, a real Calendly link and a convincing X OAuth flow to pursue people in AI and OSINT. This investigation follows the chain from social engineering to a fake “Twitta” login page, maps the public targeting pattern, and shows how to verify an interview request before it costs you an account.

Nico Dekens | dutch_osintguy
Oct 510 min read


Wardriving for OSINT: Reading the Wireless Layer Without Crossing the Line
A practical, defensible approach to WiFi and BLE observations / wardriving for OSINT investigations.

Nico Dekens | dutch_osintguy
Sep 1030 min read


When the Source Attacks Back: Prompt Injection Is Coming for OSINT
AI can help investigators move faster. It can also be manipulated by the sources it reads. This practical guide shows how prompt injection enters OSINT workflows, how to detect hidden instructions in webpages, PDFs and spreadsheets, and how to preserve, test and report the evidence. Includes a hands-on CTF lab with three realistic files to investigate.

Nico Dekens | dutch_osintguy
Aug 3122 min read


The Amsterdam Street That Never Existed
AI can generate a convincing Amsterdam street that never existed, then fail to recognize its own fiction when asked to geolocate it. This experiment shows why visual plausibility is no longer proof. For OSINT practitioners, the lesson is clear: seeing is not believing. Only provenance, source tracing, corroboration, and disciplined geolocation tradecraft can separate synthetic evidence, from reality in an internet where images can lie with confidence and false places can feel

Nico Dekens | dutch_osintguy
Jun 814 min read
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