How Ad Shield Scam Radar Works.
Every scan runs against a live behavioural model, a community threat brain, and global threat-intel feeds — in seconds.
Analysing behavioural fraud patterns. Cross-checking global threat intelligence. Detecting scam signals in real time.
How Ad Shield protects the internet.
Three layers, every scan, every time — without you needing to know what is running underneath.
See the threat
Our scan pipeline reaches the live URL, reads the document, parses the message, or looks at the image — and pulls every signal that distinguishes a scam from a legitimate source.
Translate the risk
Argus, our AI guardian, turns technical findings into a verdict you can act on in seconds: what was found, what could happen if you continue, and exactly what to do next.
Protect everyone
When you report a confirmed scam, it is logged to the Ad Shield Intelligence Network — instantly strengthening detection for every user on every device, worldwide.
Behavioral Fraud Intelligence (BFI).
BFI is the behavioural-analysis engine inside every scan. It does not look for keywords or static blocklists. It reads the content the way a human fraud-defence expert would — for the psychological levers that scammers actually use.
Language patterns
Forced urgency, extreme pressure, 'guaranteed returns', emotional manipulation, fear and shame language, fabricated authority. Scammers use the same handful of psychological levers across millions of messages — BFI is trained to surface them on the first read.
Funnel behaviours
Real scams unfold across multiple messages. BFI recognises full attack sequences — 'love-bombing' that transitions into a 'limited time' investment, fake support that escalates into a wallet-drain, romance-grooming that pivots to a crypto pitch. Pattern of intent, not isolated words.
Trust manipulation
BFI flags artificial credibility cues — fabricated screenshots of profits, fake testimonials, name-dropping of legitimate institutions, urgency layered over apparent expertise. The exact toolkit used in pig-butchering and impersonation scams.
Result, in plain language
BFI does not return a raw score. It returns the specific red flags it found, why they matter, and what is likely to happen next if you engage. The decision stays with you — but you know what you are deciding against.
Ad Shield Intelligence Network (ASIN).
ASIN is the community-powered threat brain. Every confirmed scam reported by one user strengthens detection for every other user, worldwide — instantly.
One report. Global reach.
When a user in Illinois reports a fraudulent domain, fake payment portal, or tampered document, ASIN logs the threat. Minutes later, a user in France or Australia is automatically protected from the same source — without ever reporting it themselves.
What gets logged
Fraudulent domains. Phishing landing pages. Crypto wallet addresses used in known scams. Fake payment portals. Document fingerprints from confirmed forgeries. Behavioural signatures from confirmed funnel-attacks. Aggregated — never linked to your personal information.
Cross-checked on every scan
Before any verdict is rendered, your scan is checked against the live ASIN database, plus Google Safe Browsing and 91 VirusTotal vendor feeds. A new scam still gets caught on its second victim — never its hundredth.
Privacy by design
Reports are stored as threat-intel signal, not as personal data. We never publish who reported what. We never use your scan content to identify you. The network gets stronger; you stay anonymous.
Four scan types, one pipeline.
Wherever the threat lives, Ad Shield meets it on the same surface.
Scam Scan
Paste a suspicious message, email, or chat. BFI reads it for urgency, manipulation, and known scam funnels.
Image Scan
Drop a screenshot of an ad, post, or message. Vision AI reads the visual content and flags impersonation, fake credentials, and scam UI patterns.
Link Scan
Paste a URL. We reach the live page through a sandboxed browser and check it against Google Safe Browsing, VirusTotal, WHOIS, and ASIN.
DocuScan
Upload a paystub, statement, transcript, contract. Forensic analysis catches font, metadata, and layout inconsistencies invisible to the eye.
Inside DocuScan.
A dedicated forensic pipeline for high-stakes documents — the kind people forge to commit identity theft, employment fraud, rental fraud, financial fraud, and academic fraud.
What it accepts
W-2s, paystubs, bank statements, college transcripts, prescriptions, contracts, leases, identity documents. PDF or image of the document — Ad Shield handles both.
What it checks
Embedded metadata (creator, producer, edit history, timestamps). Font and formatting consistency. Alignment, overlaid text, copy-paste artefacts. Mathematical impossibilities. Impossible dates. Suspicious cropping. AI-generated seals, signatures, and stamps.
What you get back
A definitive verdict — Likely Authentic, Suspicious (needs human review), or High-Risk / Likely Tampered — with the specific evidence behind the call and recommended next steps. Plain language, fast.
Our core promise.
Four commitments that govern every decision we make about this product.
Clarity
Every verdict says what it found, why, and what to do next. No vague language. No false reassurance.
Protection
Real-time analysis with live behavioural and global threat-intel signals — not static templates.
Empowerment
We explain the warning signs in plain language so you can recognise them yourself, next time, without us.
User Control
Your data, your call. Submit only what you want analysed. Request deletion any time. We never sell your scans.
Ready to see it work? Try a free scan.
Paste a link or message. Get the full verdict — and the reasoning — in seconds.