Security Scan Report: metams-wkiz.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 5 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://metams-wkiz.vercel.app/Meta-for-business

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Fake 'Official Notice from Facebook' claiming a Creator Verify badge, hosted on a vercel.app subdomain unconnected to Meta. Classic brand-impersonation lure; captured page shows only a reCAPTCHA gate and no credential form, but do not interact.

Risk Factors (4)
Brand impersonation of Meta/Facebook on a domain the brand does not own
Free hosting subdomain (vercel.app) with unknown page creation date, unranked in Cisco Umbrella
Fake 'verified badge' selection notice used as a lure
Obfuscated script contacting a threat-feed-flagged host (api.ipify.org)
Domain age information unavailable

Details

Page Title

Official Notice from Facebook

Scan Type

public

Domain Name Analysis

You're looking at domain 'metams-wkiz.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'metams-wkiz'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and 4 consonants. Word splitting yields two words: ver, cel. Expect three characters per word on average. 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

1.64s
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
22216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
564.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
255--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14EF27F69A040CBCE9C23CE0E60B49D3571418906ADA55B9FB3FAD1B8BED79F1414DE82

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:u8H4ula5lFLU9KZYOsXOtDkyYyYlPum6kMJs4L6WlFiISnXh3RXyk:u8H4ula5lFJCuFYyTXkaxdTHSnx3RXyk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34401:gVAYswEAwgAZpBk1AwbSARxAACBGIbEEBwiwKn1kTaFkJlgMASZAVCIGqEKaayAhzkkJwfEDRIApMUIACIQAAEgSKw8logMY

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