Security Scan Report: meta-help-7fgi.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://meta-help-7fgi.vercel.app/Meta-for-business

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Deceptive Facebook/Meta 'verified badge' lure on a free vercel.app subdomain with an obfuscated script harvesting visitor IPs behind a reCAPTCHA gate — a phishing funnel impersonating Meta.

Risk Factors (6)
Impersonation of Meta/Facebook brand on a non-official vercel.app subdomain
Fabricated 'verified badge 2026' incentive typical of Facebook page-verification phishing
Obfuscated JavaScript concealing a contact to an IP-lookup service (victim fingerprinting)
reCAPTCHA gate used as a funnel step rather than a genuine site function
Mismatched page title / Open Graph identity ('Official Notice from Facebook' vs 'Meta Privacy Center')
No verifiable relationship between the hosting subdomain and Meta Platforms
Domain age information unavailable

Details

Page Title

Official Notice from Facebook

Scan Type

public

Domain Name Analysis

Domain 'meta-help-7fgi.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'meta-help-7fgi'. Count 6 characters in 'vercel' holding two vowels versus four consonants. Splitting it apart reveals two words: ver, cel. Median word length comes out to 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

1.84s
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
5216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
464.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, 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

T171F29166A500CBCE5C27CA1E61B0DD347045CA05AEA41B9FB3FAD1B9BED39F0418DE52

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:uAJ6una5XFLU9KZYOsXOtDkyYyYlPum6kMJs4L6WaFiISnXh3RXyk:uAJ6una5XFJCuFYyTXkaxduHSnx3RXyk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35400:QHAVgaTUxMDqDQ4gkiPoBg1gACJQcEBCiBc3gOKBKIcgMgUDKgqtAcRyOwYBAAKQGDgnH7EQMEDgIgJABQAJzQEMTCVG0A0b

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