Security Scan Report: center-importgeentick-id610.vercel.app

Redirected to:
https://center-importgeentick-id610.vercel.app/privacy-centers.html
Submitted: Completed: publiccompleted
This website contacted 19 IPs in 2 countries across 12 domains to perform 76 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://center-importgeentick-id610.vercel.app/id86

Effective URL:
https://center-importgeentick-id610.vercel.app/privacy-centers.html
Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake 'Meta Verified' page on an unranked vercel.app subdomain impersonating Meta, with a Telegram-bot exfiltration channel and anti-DevTools evasion. No credential form captured, but brand impersonation and exfil capability make it high-risk.

Risk Factors (5)
Brand impersonation of Meta on a domain that is not Meta's official domain
Telegram bot token embedded in page script for exfiltration of collected data
Anti-DevTools script that conceals the page from inspectors and scanners
IDS alerts for actor-abused cloud hosting service (vercel.app)
Unranked domain on a shared hosting platform subdomain
Domain age information unavailable

Details

Page Title

Meta Verified – Prämien für Sie

Scan Type

public

Domain Name Analysis

The domain 'center-importgeentick-id610.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'center-importgeentick-id610'. The core label 'vercel' covers 6 characters holding two vowels versus four consonants. Segmentation suggests two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://center-importgeentick-id610.vercel.app/id86

Page Load Overview

8.12s
Total Load Time
1.8 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:1,705 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content46% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
46%
corporate business
41%
finance banking
40%
technology software
36%
news media journalism
33%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
464.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.127.100Google · CDNUnited States
AS15169Google LLC
4172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.13.94Google · CDNUnited States
AS15169Google LLC
7619--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17BD2846421F1047B295381F1A9E09F8ABE9AF783CB1BC955B3ED06116FC7C829C87318

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:XjO6hL7oVs8mzgbWYc+WbQh1kcfY1OmDdFVUZ/f8UR4R8ENqc:XjO6hnoq8mzg7c+WbQhNQT/GRC89c

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30298:BlonCyFgEWIEAIQEonSCoQ3GBBBGBkEWgBqY4kkyEeIjZEqiMUBPPlhAEsAIBGGSCa2DgURiwQygThZCqCBECAAACER7BEMZ

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:8f87ffe3e3e3e3e3
Perceptual Hash:e5989c636392c3c7
Difference Hash:3e3e4e0a4a4b4242
Wavelet Hash:8383c3e3e1e1e3e1
Color Hash:#99ac53

Scan History

Scan history not available

Unable to load historical scan data