Security Scan Report: www.official-invitation-ads.vercel.app

Redirected to:
https://official-invitation-ads.vercel.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 20 IPs in 1 country across 12 domains to perform 51 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://www.official-invitation-ads.vercel.app/

Effective URL:
https://official-invitation-ads.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 87%

8
Risk Score

Fake 'Meta Verified' page on a free Vercel subdomain, copying Meta branding and policy links. No password field, but scripts embed a Telegram bot token for exfiltrating submitted data. Impersonation — avoid.

Risk Factors (4)
Impersonation of Meta (brand, logo, footer, policy links) on a domain that does not belong to Meta
Telegram bot token embedded in page scripts — covert data-exfiltration channel
Free hosting-platform subdomain with unknown creation date, unranked in Cisco Umbrella
Lure uses ticket/application IDs and urgency ('verification usually takes 24 hours') to solicit victim information
Domain age information unavailable

Details

Page Title

Meta Verified – Prämien für Sie

Scan Type

public

Domain Name Analysis

Domain 'www.official-invitation-ads.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'www.official-invitation-ads'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus 4 consonants. It segments into 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.official-invitation-ads.vercel.app/

Page Load Overview

14.79s
Total Load Time
3.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:1,706 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

adult content
46%
finance banking
42%
corporate business
41%
technology software
36%
news media journalism
34%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1364.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.14.138Google · CDNUnited States
AS15169Google LLC
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2142.251.13.95Google · CDNUnited States
AS15169Google LLC
234.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2192.178.183.94Google · CDNUnited States
AS15169Google LLC
2142.251.151.119Google · CDNUnited States
AS15169Google LLC
5120--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T155A2FA212220083AEC43C0D2F9D0B7693986F2D7D32A99E47BEE19527FD6CE905D9758

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:adZO0jhL7OhRO4HMaTYdYjkSrh2fhyUaO7Rbby:adZOWhnOhRDbTYdbSrhjUR7Rbby

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22551:AExhIKInMwSGiFUiQoyMEhBpIxjIGBREbYkkLsDDD1ZARAzMGAEANBdAKaCCFYgEAOG1BAgYqQAgkll0TiIFCBFrRAQQGC0o

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:c7c7c7c3e7e7ffff
Perceptual Hash:b270d8d6369ccc93
Difference Hash:9c9d9f960d0c31ca
Wavelet Hash:c4c1c1c3c3871f3f
Color Hash:#d22d59

Other Hashes

Crop Resistant:9c9d9f960d0c31ca

Scan History

Scan history not available

Unable to load historical scan data