SharedTrace: OSINT Tool Uncovers User Data from Shared Links
Cybersecurity pros keeping tabs on the OSINT landscape have a new tool to dissect. According to a recent share by the ‘Cyber Detective’ Telegram channel, the SharedTrace Python utility offers a way to glean additional information from shared links across various platforms. This includes details like usernames, avatars, and user IDs, pulling data from services such as TikTok, Instagram, Discord, ChatGPT, and Perplexity, among others. The project is available on GitHub for those interested in its inner workings.
This kind of tool highlights a persistent challenge in the digital realm: the often-thin veil between public-facing profiles and the underlying data that can be aggregated. While not inherently malicious, such utilities can be leveraged by threat actors to accelerate reconnaissance phases, building detailed profiles of targets before launching social engineering attacks or other nefarious activities. Understanding the capabilities of these OSINT tools is crucial for defenders looking to stay ahead of the curve.
What This Means For You
- Security teams should integrate the scanning of shared links used internally or by customers with tools like SharedTrace into their threat intelligence gathering process to proactively identify potential reconnaissance activities by adversaries targeting their organization or users.
Source & Attribution
| Source Platform | Telegram |
| Channel | Cyber Detective |
| Published | April 07, 2026 at 11:47 UTC |
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