Security Scan Report: meta-help-e1lg.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://meta-help-e1lg.vercel.app/Meta-for-business

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Facebook/Meta 'verified badge' notice on a vercel.app subdomain, using an imitation reCAPTCHA screen and an obfuscated script that beacons to an IP-lookup service. Brand impersonation of Meta is confirmed; no credential form was captured, so treat as a phishing lure.

Risk Factors (5)
Impersonation of Facebook/Meta brand on a non-Meta domain
Unsolicited 'verified badge' lure targeting business page owners
Obfuscated script hiding a call to api.ipify.org
Hosting-platform subdomain with unknown creation date
Fabricated reCAPTCHA challenge used as a trust prop
Domain age information unavailable

Details

Page Title

Official Notice from Facebook

Scan Type

public

Domain Name Analysis

The domain name 'meta-help-e1lg.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'meta-help-e1lg'. Count 6 characters in 'vercel' split between 2 vowels and 4 consonants. Splitting it apart reveals 2 words: ver, cel. Median word length is 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

5.96s
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
22216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5104.26.12.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
564.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, 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

T168F27029A040CBCEAC27CE1D60B09D3571448A06ADA51B9FB3F9D5B8BFD79F1414DE82

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:udqQqmnuxdCVD/a5UGFLU9KZYOsXOtDkyYyYlPum6kMJs4L6WnoiRW7fZ5XdEfN+:uwBWuKa5HFJCuFYyTXkaxdBHSnx3RXyk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35042:IEKOAkiCTEAJIQIAgcnYYMQ5IoKJDgdAGnCzD21AHwRAAA4EQiAQCQKCOyJBAEdcCOqoSQCAGGAkHQUxABkEFkQsQBayocGS

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