FOCA (Fingerprinting Organizations with Collected Archives) is a free penetration testing solution. StealthNet AI is a commercial penetration testing solution by StealthNet AI. Features, integrations, deployment and the company behind each one, side by side.
FOCA is a tool used to find metadata and hidden information in scanned documents, with capabilities to analyze various file types and extract EXIF information.
AI agent fleet for autonomous pentesting across external, API, web & vishing surfaces.
See more solutions in this category, or build a security stack from your picks.
Based on what each listing shows: deployment, company size, price and open source.
FOCA (Fingerprinting Organizations with Collected Archives) fits if you need to run it on your own servers, you are an enterprise, you need a free product and you want an open-source product.
StealthNet AI fits if you want a cloud product.
Common questions when comparing FOCA (Fingerprinting Organizations with Collected Archives) vs StealthNet AI for penetration testing.
FOCA (Fingerprinting Organizations with Collected Archives): FOCA is a tool used to find metadata and hidden information in scanned documents, with capabilities to analyze various file types and extract EXIF information.
StealthNet AI: AI agent fleet for autonomous pentesting across external, API, web & vishing surfaces. Built by StealthNet AI.
The table above shows where their features, integrations, deployment and company size fit differ.
FOCA (Fingerprinting Organizations with Collected Archives) is open-source with 3,451 GitHub stars. StealthNet AI is made by StealthNet AI. The vendor behind a product decides its roadmap, support, and longevity, so check each company's profile before you commit.
Often, yes. FOCA (Fingerprinting Organizations with Collected Archives) and StealthNet AI are both Penetration Testing products. Key differences: FOCA (Fingerprinting Organizations with Collected Archives) is Free while StealthNet AI is Commercial, FOCA (Fingerprinting Organizations with Collected Archives) is open-source. Use the table above to see where features, deployment and company size fit differ.
