Security Scan Report: metacas-i2a9.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 3 domains to perform 25 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metacas-i2a9.vercel.app/Meta-for-business

AI Security Verdict

High Risk

Confidence: 82%

7
Risk Score

Fake Meta/Facebook 'verified badge' notice hosted on an unrelated Vercel subdomain, impersonating Meta branding with a reCAPTCHA gate and obfuscated IP-lookup script. Avoid entering any information.

Risk Factors (5)
Impersonation of Meta/Facebook branding and 'verified badge' authority on a domain unrelated to Meta
Fake 'Creator Verify Permanent Badge 2026' award notice used as a lure
Hosted on a free instant-publish Vercel subdomain with unknown creation date
Obfuscated script with a hidden external IP-lookup (api.ipify.org) call and Function() constructor use
Network IDS alerts for IP lookup and actor-abused cloud hosting domain
Domain age information unavailable

Details

Page Title

Official Notice from Facebook

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'metacas-i2a9.vercel.app' is registered with subdomain 'metacas-i2a9'. The registrable portion 'vercel' spans 6 characters containing 2 vowels alongside four consonants. It segments into 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Meta reCAPTCHA Ich bin kein Roboter Dies hilft uns, schadliches Verhalten zu bekampfen, Spam zu erkennen und zu verhindern und die Integritét unserer Produkte zu wahren. Wir haben das Google reCAP...

Page Load Overview

1.56s
Total Load Time
1.8 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:96%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:747 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as de

All Detected Languages

🇩🇪de(96%)🇺🇸en(4%)

Website Classification

Primary Category

technology software85% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
85%
documentation technical
74%
social media network
72%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
464.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1104.26.12.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
256--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T172E27F29A040CBCF9C27CE0E60B49D3571418906ADA55B9FB3FAD1B8BED79F1414DE82

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:u8H4uka5lFLU9KZYOsXOtDkyYyYlPum6kMJs4L6WdFiISnXh3RXyk:u8H4uka5lFJCuFYyTXkaxdLHSnx3RXyk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34077:WJVgpSisHAsACgKCAocwIlEAiATAAEMAEg4FgoeQQJQIUIWcuA+AgsHwtwSYBBIz1AEoEFkhYjSiwRBAQhECCAQMgAWG5QSj

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:ffffe7e7e7e7ffff
Perceptual Hash:b3cccc3333cc668c
Difference Hash:00000c0c0c0c0000
Wavelet Hash:fcfce4e404040c0c
Color Hash:070020001c0

Other Hashes

Crop Resistant:00000c0c0c0c0000

Scan History

Scan history not available

Unable to load historical scan data