Children and teens
Help recognizing grooming, sextortion, coercive gifts, secrecy, and threats online.
See child-safety patternsProtection · Consent before connection
Scamurai is being designed for authorized protection around people who face manipulation, coercion, impersonation, grooming, or financial exploitation.
Age, disability, language, diagnosis, or family role never becomes a risk score. The planned system would identify observable tactics, explain its signals, and alert an accountable human.
How a planned check would work
You would choose evidence for a check, receive an explanation of the signals and uncertainty, and decide what to do next. Optional monitoring would begin with a supported source you authorize. These features are planned, not available through this website.
Who protection may support
People are not “vulnerable types.” Criminals exploit moments: isolation, unfamiliar systems, cognitive overload, emotional distress, trust, shame, or a desire to protect someone they love. Support must respect consent: needing help does not automatically give someone else permission to monitor you.
Help recognizing grooming, sextortion, coercive gifts, secrecy, and threats online.
See child-safety patternsHelp recognizing impersonation, financial scams, and exploitation by strangers or trusted people.
See older-adult patternsClear support for people facing cognitive, communication, or emotional challenges.
Read the authority boundaryHelp spotting impersonation that exploits translation gaps or unfamiliar institutions.
See context-adapted scamsHelp recognizing reputation threats, deepfakes, and workplace impersonation.
See reputation threatsShared verification, trusted support, evidence preservation, and calm recovery steps.
See the family callback casePlanned capabilities
Checks would use evidence you choose to share or supported sources you authorize. These features are planned and are not available through this website.
These are design targets. This website cannot read private accounts, devices, bank activity, or conversations.
Forwarded or user-authorized SMS, email, call metadata, and exported conversations. Detect urgency, suspicious links, secrecy, impersonation, and unusual payment demands.
Consent-based profile and conversation checks for stolen identities, catfishing, rapid intimacy, off-platform migration, fabricated crises, and investment pivots.
Developmentally appropriate, transparent signals such as gifts, secrecy requests, adult-space migration, boundary testing, threats, or a request for intimate material.
New payees, unusual transfers, recovery-method changes, account lockouts, cash withdrawals, or “move your money to safety” scripts. No power to move or freeze funds.
Password resets, MFA changes, SIM ports, unfamiliar-device logins, new recovery contacts, and reuse of known impersonation infrastructure.
Screenshots, receipts, URLs, names, timelines, and notes deliberately added for review, with provenance and retention controls kept visible.
One weak signal should prompt context, not an accusation. Several corroborating signals can justify a calm verification alert. Identity alone is never a risk signal.
A relative, bank, platform, police officer, government office, teacher, executive, or romantic interest appears from an unverified account.
The contact says time is running out, forbids independent advice, or threatens arrest, exposure, abandonment, or harm.
The relationship quickly moves to a private channel, then discourages family, friends, moderators, banks, or professionals from checking the story.
Requests for passwords, one-time codes, identity documents, remote access, intimate media, or proof-of-loyalty tasks.
Gift cards, crypto, wires, P2P payments, cash couriers, “safe” accounts, or a new payee under intense pressure.
A small fee, gift, image, or favor becomes a larger demand, and each payment creates a new obstacle.
Live contact, official numbers, spontaneous video, withdrawal tests, or an independent callback are repeatedly delayed or forbidden.
The contact instructs the person to deceive family, a bank teller, a teacher, a platform, counsel, or law enforcement.
Continue the investigation
The threat library connects each pattern to documented history, current reported-loss data, major cases, and primary sources.