ctf-osint

OSINT reconnaissance for CTF challenges involves gathering public data through social media analysis, geolocation, reverse image search, and DNS records. This skill automates these lookups using Python 3 and bash scripts to uncover hidden clues.

CTF geolocation and reverse image search require a filesystem-based agent with bash, Python 3, and internet access. Dependencies like Pillow, ImageMagick, libimage-exiftool-perl, and curl process image metadata and perform online lookups.

Yes, you can use Shodan and Nmap for DNS reconnaissance in a CTF. This skill integrates Shodan, Nmap, whois, and bind to query DNS records, enumerate targets, and gather network intelligence.

Yes, this OSINT skill works with Claude Code or similar filesystem-based agents. It requires a local environment running bash, Python 3, and internet access to execute OSINT scripts and query external sources.

To identify unknown hashes and coordinates during OSINT analysis, the skill cross-references gathered data against public sources. It parses identifying information using scripts to match hashes and pinpoint physical coordinates.

Limitations of using public sources for CTF OSINT include reliance on internet connectivity and external API availability. The skill cannot bypass authentication walls or access private data, restricting lookups to publicly exposed information.