Security Scan Report: metacas-75mn.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-75mn.vercel.app/meta

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Fake 'Official Notice from Facebook' on a vercel.app subdomain baiting users with a Creator Verify badge; clear Meta brand impersonation with an obfuscated IP-fingerprinting script. Do not interact.

Risk Factors (5)
Impersonation of Meta/Facebook brand on a non-Meta hosting subdomain
Fake 'verified badge / Creator Verify 2026' phishing lure
Obfuscated JavaScript concealing a third-party IP-lookup endpoint
Fake reCAPTCHA human-verification gate using copied vendor notices
Unranked, free vercel.app subdomain of unknown creation date
Domain age information unavailable

Details

Page Title

Official Notice from Facebook

Scan Type

public

Domain Name Analysis

The domain name 'metacas-75mn.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'metacas-75mn'. The registrable portion 'vercel' spans 6 characters split between two vowels and 4 consonants. It segments into 2 words: ver, cel. Median word length is three 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

1.40s
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
2264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, 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

T148E27F69A040CBCF9C27CE0E60B09D3571418906ADA55B9FB3FAD1B8BED79F1414DE82

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:u8H4u3a5lFLU9KZYOsXOtDkyYyYlPum6kMJs4L6WieiISnXh3RXyk:u8H4u3a5lFJCuFYyTXkaxd5HSnx3RXyk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34195:gAAFq65GwASi5YFoGRoA0EAOjFzUgMgoZIljgjgZGCQgAiwEIuTigG6AVDdJRQRC4HMCR6YAJwAaOnRcjSEJFEsDUxg8gKCN

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