Threat Actor Footprint
Map a person's online footprint across platforms, forums, and leaked credential databases.
Try it
Input
Output
cached sample{
"full_name": "Saarth Shah",
"known_aliases": "saarthshah (GitHub, LinkedIn handle)",
"confirmed_emails": "saarth@sixtyfour.ai",
"confirmed_phone_numbers": "None found",
"social_profiles": "LinkedIn: https://linkedin.com/in/saarthshah\nTwitter/X: @saarthshah\nGitHub: https://github.com/saarthshah",
"professional_background": "CEO & Co-founder, Sixtyfour (2023–present)\nPrior: early-stage SaaS startups (product and engineering roles)",
"technical_skills": "Python, TypeScript, LLMs, API architecture, product strategy, developer GTM",
"forum_and_community_presence": "Active on LinkedIn and Twitter/X; open-source activity on GitHub; no significant presence on security forums or niche underground communities",
"dark_web_mentions": "None found",
"credential_leak_exposure": "None found in major breach indices",
"domain_and_infrastructure": "sixtyfour.ai (registered operator); api.sixtyfour.ai, docs.sixtyfour.ai (subdomains)",
"threat_actor_signals": "None found — no associations with threat groups, CVE authorship, or adverse attribution",
"legal_and_public_record": "None found — no court records, regulatory actions, or adverse press",
"risk_score": "3",
"risk_verdict": "none",
"risk_summary": "Saarth Shah is a publicly visible tech founder with a clean digital footprint. No adverse signals were identified across breach databases, dark web sources, or public records. The minimal score reflects standard founder-level public presence with no threat indicators.",
"data_sources_note": "LinkedIn, Twitter/X, GitHub, HaveIBeenPwned index, WHOIS, press sources, Google News. Dark web scan limited to indexed sources; private forums not accessible."
}This demo runs on Low tier for speed and reliability. Medium tier adds extended enrichment, and High tier delivers the deepest OSINT coverage — full credential leak scanning, dark web forum indexing, and exhaustive alias resolution. High tier is available to Enterprise customers only. Learn about High Tier →
Copy code
const SIXTYFOUR_API_KEY = process.env.SIXTYFOUR_API_KEY;
async function mapThreatActorFootprint({ fullName, email, linkedinUrl }) {
const response = await fetch("https://api.sixtyfour.ai/people-intelligence", {
method: "POST",
headers: {
"x-api-key": SIXTYFOUR_API_KEY,
"Content-Type": "application/json",
},
body: JSON.stringify({
lead_info: {
full_name: fullName,
...(email && { email }),
...(linkedinUrl && { linkedin_url: linkedinUrl }),
},
struct: {
full_name: "Confirmed full legal name",
known_aliases:
"Other names, handles, or usernames. 'None found' if absent.",
confirmed_emails: "Known email addresses, comma-separated. 'None found' if absent.",
confirmed_phone_numbers: "Known phone numbers, comma-separated. 'None found' if absent.",
social_profiles:
"Confirmed profiles (LinkedIn, Twitter/X, GitHub, etc.). Format: 'Platform: URL'. 'None found' if absent.",
professional_background:
"Current and recent employers, roles, and tenure — one line each.",
technical_skills:
"Programming languages, security tools, or technical domains. 'None found' if unidentifiable.",
forum_and_community_presence:
"Activity on HN, Reddit, Stack Overflow, security forums, etc. 'None found' if absent.",
dark_web_mentions:
"Mentions on dark web forums, paste sites, or underground markets. 'None found' if absent.",
credential_leak_exposure:
"Appearances in known data breaches. Cite source/date if known. 'None found' if absent.",
domain_and_infrastructure:
"Domains or IPs registered to or associated with this person. 'None found' if absent.",
threat_actor_signals:
"Associations with threat groups, CVE authorship, or public attribution. 'None found' if absent.",
legal_and_public_record:
"Court records, regulatory actions, law enforcement mentions. 'None found' if absent.",
risk_score:
"Integer 0-100. 0 = no signals, 100 = confirmed high-risk actor.",
risk_verdict: "One of: none | low | medium | high | critical",
risk_summary: "3-5 sentences on key findings and basis for verdict.",
data_sources_note: "OSINT databases, breach indices, social platforms used. Note any gaps.",
},
tier: "low",
}),
});
if (!response.ok) {
const body = await response.text();
throw new Error(`Sixtyfour API error ${response.status}: ${body}`);
}
const { structured_data, confidence_score, references } = await response.json();
return { structured_data, confidence_score, references };
}
// Example usage
const { structured_data } = await mapThreatActorFootprint({
fullName: "Saarth Shah",
email: "saarth@sixtyfour.ai",
linkedinUrl: "https://linkedin.com/in/saarthshah",
});
console.log(`${structured_data.full_name} — risk: ${structured_data.risk_verdict} (${structured_data.risk_score}/100)`);
console.log(structured_data.risk_summary);
Response data
A structured OSINT footprint covering confirmed identities and aliases, social platform presence, dark web and credential leak exposure, threat actor signals, and an overall risk verdict with sourced reasoning.
Run locally
- 1
Clone the repo
bashgit clone https://github.com/sixtyfour-ai/sixtyfour-demos.git cd sixtyfour-demos/demos/security/threat-actor-footprint - 2
Add your API key
Get your key from app.sixtyfour.ai, then:
bashcp .env.example .env # Open .env and set SIXTYFOUR_API_KEY=your_key_here - 3
Install dependencies
bashpnpm install - 4
Run the demo
Executes the enrichment and prints the structured output to your terminal.
bashpnpm start