Track Digital Scams Before They Reach Your Users
Scam++ by mFilterIt detects, validates, and dismantles digital scams that impersonate your brand across social media, messaging apps, websites, and dark web channels, before your customers become victims.
The Scale of the Problem
Every Scam Vector. Detected and Neutralized.
Scam++ monitors distinct fraud categories across all major digital platforms.
Investment Scam
Unregistered 'advisors' impersonate your brand on Telegram, WhatsApp, and Instagram, luring investors with guaranteed returns asking citizens to transfer money on Mule Accounts.
Shopping Scam
Pixel-perfect clones of your e-commerce storefront collect payments and vanish, spiking during festive sales when consumer guard is lowest.
Carding Scam
Stolen card credentials are validated via micro-transactions and sold openly on social platforms, threatening your customers' financial safety.
Job Scam
Fraudsters pose as your HR team on Telegram and LinkedIn, charging job seekers upfront fees and harvesting their personal data.
Subscription Scam
Pirated OTT credentials and fake subscription plans sold at a discount through closed Telegram groups, cannibalizing your paid user base.
Phishing Scam
Deceptive emails, SMS, and web pages disguised as your brand to steal login credentials, OTPs, and banking details from unsuspecting users.
Deepfake & AI Fraud
AI-generated videos of your executives or brand spokespeople used to deceive customers into wiring money or sharing sensitive information.
Brand Impersonation
Fake social handles, rogue mobile apps, and lookalike domains riding your brand equity to misdirect customers, erode trust, and steal revenue.
Loan Scam
Fraudulent loan websites and apps promise victims with instant approvals, then demand upfront fees or deposits before any funds are disbursed, leaving borrowers with financial losses.
Currency Exchange Scam
Fake forex platforms and unauthorized money changers promise attractive exchange rates to collect funds, delay payouts, or disappear entirely without completing transactions.
Investment Scam
Unregistered 'advisors' impersonate your brand on Telegram, WhatsApp, and Instagram, luring investors with guaranteed returns asking citizens to transfer money on Mule Accounts.
Shopping Scam
Pixel-perfect clones of your e-commerce storefront collect payments and vanish, spiking during festive sales when consumer guard is lowest.
Carding Scam
Stolen card credentials are validated via micro-transactions and sold openly on social platforms, threatening your customers' financial safety.
Job Scam
Fraudsters pose as your HR team on Telegram and LinkedIn, charging job seekers upfront fees and harvesting their personal data.
Subscription Scam
Pirated OTT credentials and fake subscription plans sold at a discount through closed Telegram groups, cannibalizing your paid user base.
Phishing Scam
Deceptive emails, SMS, and web pages disguised as your brand to steal login credentials, OTPs, and banking details from unsuspecting users.
Deepfake & AI Fraud
AI-generated videos of your executives or brand spokespeople used to deceive customers into wiring money or sharing sensitive information.
Brand Impersonation
Fake social handles, rogue mobile apps, and lookalike domains riding your brand equity to misdirect customers, erode trust, and steal revenue.
Loan Scam
Fraudulent loan websites and apps promise victims with instant approvals, then demand upfront fees or deposits before any funds are disbursed, leaving borrowers with financial losses.
Currency Exchange Scam
Fake forex platforms and unauthorized money changers promise attractive exchange rates to collect funds, delay payouts, or disappear entirely without completing transactions.
Investment Scam
Unregistered 'advisors' impersonate your brand on Telegram, WhatsApp, and Instagram, luring investors with guaranteed returns asking citizens to transfer money on Mule Accounts.
Shopping Scam
Pixel-perfect clones of your e-commerce storefront collect payments and vanish, spiking during festive sales when consumer guard is lowest.
Carding Scam
Stolen card credentials are validated via micro-transactions and sold openly on social platforms, threatening your customers' financial safety.
Job Scam
Fraudsters pose as your HR team on Telegram and LinkedIn, charging job seekers upfront fees and harvesting their personal data.
Subscription Scam
Pirated OTT credentials and fake subscription plans sold at a discount through closed Telegram groups, cannibalizing your paid user base.
Phishing Scam
Deceptive emails, SMS, and web pages disguised as your brand to steal login credentials, OTPs, and banking details from unsuspecting users.
Deepfake & AI Fraud
AI-generated videos of your executives or brand spokespeople used to deceive customers into wiring money or sharing sensitive information.
Brand Impersonation
Fake social handles, rogue mobile apps, and lookalike domains riding your brand equity to misdirect customers, erode trust, and steal revenue.
Loan Scam
Fraudulent loan websites and apps promise victims with instant approvals, then demand upfront fees or deposits before any funds are disbursed, leaving borrowers with financial losses.
Currency Exchange Scam
Fake forex platforms and unauthorized money changers promise attractive exchange rates to collect funds, delay payouts, or disappear entirely without completing transactions.
Not sure which scam is hitting your brand?
Get a Scam AuditFrom Detection to Disruption in Hours, Not Weeks.
mFilterIt's three-stage intelligence loop that doesn't just find scams, it eliminates them.
Detect
Our AI-ML crawlers continuously monitor Google, Facebook, Instagram, Telegram, WhatsApp, YouTube, dark web forums, and domain registries for brand-related scam signals 24/7, across every language.
Validate
Human analysts confirm scam activity and trace payment instruments, mapping UPI IDs, bank accounts, and wallet IDs to the individuals behind each scam before escalation. Zero false positives.
Act
Validated intelligence is reported directly to financial institutions, platform trust-and-safety teams, and regulatory bodies (RBI, SEBI, I4C), triggering account freezes, takedowns, and legal action.
What Sets Scam++ Apart
Directly competitive, built for India's BFSI and beyond landscape.
Modus Operandi Analysis
Tracks how scam networks operate recruitment channels, payment routing, platform rotation not just what they post publicly
Real Payment Intelligence
Extracts, flags, and helps freeze UPI IDs, bank account numbers, IFSC codes, and account holder names used for fraudulent activities.
Multi-Platform Coverage
OSINT-led intelligence scans Google, social media, WhatsApp, dark web channels, apps, lookalike domains, etc to actively monitor scam activities.
Regulatory-Grade Reporting
Reports structured to meet RBI, SEBI, I4C, and MHA formats, ensuring your compliance teams can escalate without rework and law enforcement can act immediately.
Human Validation Layer
Every alert is human-confirmed before it reaches you. No alert fatigue, no false positives, no crying wolf. Our analysts operate as an extension of your anti-fraud team.
Live Dashboards & Reports
Executive-ready dashboards show active threats, takedown status, scam volume trends by platform, and ROI of fraud prevention, updated in real time.
Frequently Asked Questions
Coverage spans investment scams, mule account networks, phishing scams, transaction-related fraud, and crisis-driven scams like fake LPG or utility booking links, financial threats increasingly aimed at consumers rather than just merchants or advertisers.
Open-source intelligence continuously scans surface web, social platforms, messaging apps, and app stores for scam patterns, fake booking links, and malicious APKs, flagging fraud infrastructure before large numbers of consumers are actively defrauded.
Following LPG booking fraud incidents, mFilterIt identified over 5,000 + fake LPG bookings linked to exploit consumers around routine, urgent transactions.
While banks and fintechs are major users for investment scam and mule detection, the same OSINT-based monitoring model applies to any consumer brand facing impersonation-based scams, like fake utility or service booking links using their name.
They overlap but scam monitoring focuses specifically on financially-motivated fraud like investment scams and payment fraud, tracked in partnership with banks and regulators, while brand protection covers the broader universe of brand impersonation and IP misuse.
mFilterIt continuously tracks emerging modus operandi across the digital landscape in real time, identifying mule conduits and scam infrastructure and reporting them to relevant regulated entities and law enforcement as patterns emerge.