Investment & crypto fraud
Pig-butchering / Sha Zhu Pan · Romance scams · Fake cryptocurrency exchanges · Fake trading platforms · Forex scams · Investment fraud · Ponzi and pyramid schemes · Fake brokers · Recovery scams
Deepfind investigates sophisticated digital and financial scams by connecting blockchain activity, digital infrastructure, online identities, communication channels and financial evidence — transforming fragmented clues into actionable intelligence.
Follow the money. Map the network. Expose the operation.
Advanced intelligence for the fight against global financial fraud.
Deepfind conducts lawful intelligence analysis using available evidence and authorized data sources. Findings support legitimate investigative processes; outcomes are never guaranteed.
Threat landscape
Pig-butchering / Sha Zhu Pan · Romance scams · Fake cryptocurrency exchanges · Fake trading platforms · Forex scams · Investment fraud · Ponzi and pyramid schemes · Fake brokers · Recovery scams
Impersonation scams · Government and law-enforcement impersonation · Banking scams · Payment fraud · Business Email Compromise · CEO fraud · Invoice fraud
Job and recruitment scams · Task scams · Remote-work scams · E-commerce scams · Social-media scams · Marketplace fraud · Phishing campaigns · Smishing and messaging scams · Tech-support scams · Sextortion schemes · Identity fraud · Deepfake and AI-assisted scams
Telegram fraud networks · WhatsApp scam networks · Social-engineering operations · Money-mule networks · Cross-border fraud networks · Organized cyber-enabled financial crime
Evidence-led analysis
Lawful intelligence analysis using available evidence and authorized data sources, structured for legitimate investigation and disruption efforts.
Identify relationships between suspected actors, online accounts, domains, companies, phone numbers, email addresses, cryptocurrency addresses, profiles, and shared infrastructure.
Analyze blockchain transactions, wallet movements, fund flows, intermediary wallets, consolidation addresses, exchanges, and relevant indicators.
Assess available evidence relating to payment accounts, transaction routes, processors, mule accounts, and financial infrastructure.
Investigate domains, websites, hosting, DNS relationships, certificates, historical infrastructure, cloned sites, and connected assets.
Analyze aliases, usernames, companies, online identities, public records, and connected entities to assess what may sit behind an operation.
Examine patterns across Telegram, WhatsApp, social networks, messaging applications, emails, usernames, and communication infrastructure.
Correlate publicly available information across multiple sources to uncover connections not initially apparent.
Connect evidence across countries, companies, financial services, infrastructure providers, cryptocurrency networks, and online identities.
Identify scam websites, wallets, accounts, or identities that appear to belong to the same wider criminal organization.
Develop evidence-based assessments that help investigators understand potential relationships between infrastructure, flows, identities, and actors.
Organize digital evidence, timelines, transactions, screenshots, communications, identifiers, and supporting information into structured packages.
Study emerging scam techniques, infrastructure, fraud ecosystems, criminal methodologies, and changing patterns across the global fraud landscape.
Reconstruct how a scam developed from first contact through social engineering, payments, cryptocurrency movements, laundering, and disappearance.
Produce professional intelligence reports containing findings, timelines, network relationships, financial flows, indicators, evidence, and investigative leads.
Operating model
Wallet · Domain · Phone · Username
Evidence + authorized sources
Relationships + flows
Findings + investigative leads
Deepfind supports authorized organizations and legitimate investigative processes with evidence-led intelligence. We do not guarantee asset recovery.