Security Scan Report: cuccuttroisongsspp.vercel.app

Redirected to:
https://cuccuttroisongsspp.vercel.app/index1.html
Site favicon
Submitted: Aug 16, 2026, 12:45:38 PMCompleted: Aug 16, 2026, 12:48:58 PMpubliccompleted

This website contacted 1 IP in 1 country across 6 domains to perform 2 HTTP transactions. The main domain is cuccuttroisongsspp.vercel.app and was registered 6 years ago.

Submitted URL: https://cuccuttroisongsspp.vercel.app/

Effective URL:

https://cuccuttroisongsspp.vercel.app/index1.html
Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Page impersonates Meta/Facebook and harvests credentials via a login form on an unknown‑age, unranked subdomain – high risk of credential phishing.

Risk Factors (3)
Brand impersonation (Meta/Facebook) on unrelated domain
Credential collection form on unknown‑age subdomain
Unranked / low‑reputation domain
Domain age information unavailable

Details

Page Title

Meta für Unternehmen – Seitenattraktivität

Scan Type

public

Domain Name Analysis

The domain 'cuccuttroisongsspp.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'cuccuttroisongsspp'. The second-level label 'vercel' is 6 characters long with 2 vowels and 4 consonants. Word splitting yields two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cuccuttroisongsspp.vercel.app/

Page Load Overview

0.28s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:3,071 chars
Detector Agreement:75%

Website Classification

Primary Category

corporate business82% confidence
Type: webapp
Method: ml+structural

All Detected Categories

corporate business
82%

Detected Features

Login Form
Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.131United States
AS16509Amazon.com, Inc.
21--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196F25E11A9A5DC2A80CF59D86AB3652525F99307C2124A88FE7CABF10FAFC7CC777144

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:1acQ4nFIIACADGkJZUTiRgcGvsjTMe8GVu9pgUT7FDy:dFIZfJ6iiHl4u9pj7FDy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37130:DAIMDRQGxNrIGVAAkSJQUwZGYkBEBkgJYEEAOcIM4rlAYAkmVJgMAIYgAhhkEBKDoQEAlGJMD4QEURqoBYCxkLGrhb5FMq8M

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:ffcfcf87c1cfcfff
Perceptual Hash:b933c45cc69cbc43
Difference Hash:18191b1b19b81818
Wavelet Hash:cf8580878087cfef
Color Hash:#bfe06c

Scan History

Scan history not available

Unable to load historical scan data