Security Scan Report: metacas-i2a9.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 4 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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Meta/Facebook 'verified badge 2026' notice hosted on a free vercel.app subdomain, with obfuscated IP-lookup scripting and a reCAPTCHA gate. Brand impersonation confirmed; treat as a phishing lure even though no credential form was captured.

Risk Factors (5)
Impersonation of Meta/Facebook official notices on a non-Meta, unranked vercel.app subdomain
Fake 'verified badge / Creator Verify 2026' notification used as a bait lure
Obfuscated script contacting an external IP-lookup service (api.ipify.org) hidden from plain view
Network IDS alerts including an abused-cloud-hosting classification for vercel.app in TLS SNI
Noindex not set and no legitimate site ownership disclosure; title/meta are copied brand strings
Domain age information unavailable

Details

Page Title

Official Notice from Facebook

Scan Type

public

Domain Name Analysis

You're looking at domain 'metacas-i2a9.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'metacas-i2a9'. Count 6 characters in 'vercel' split between 2 vowels and four 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

1.57s
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
664.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
254--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135E27F69A040CBCF9C27CE0E60B09D3571418906ADA55B9FB3FAD1B8BED79F1414DE82

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:u8H4uka5lFLU9KZYOsXOtDkyYyYlPum6kMJs4L6WGeiISnXh3RXyk:u8H4uka5lFJCuFYyTXkaxdFHSnx3RXyk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34025:SfqIJ0QwBADICEOAAAZcAx0DBCbBQJkBRAIBOp2VAYQAAAXTgsuHNoszjAYIEIHGQB45CAtAy5Dk4R6EZEgAgAULQABWsQap

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