Security Scan Report: hasjvhlkas0-shfkl1jp32.vercel.app

Redirected to:
https://hasjvhlkas0-shfkl1jp32.vercel.app/index1.html
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Submitted: Aug 19, 2026, 12:45:22 PMCompleted: Aug 19, 2026, 12:47:40 PMpubliccompleted

This website contacted 1 IP in 1 country across 6 domains to perform 3 HTTP transactions. The main domain is hasjvhlkas0-shfkl1jp32.vercel.app and was registered 6 years ago.

Submitted URL: http://hasjvhlkas0-shfkl1jp32.vercel.app/

Effective URL:

https://hasjvhlkas0-shfkl1jp32.vercel.app/index1.html
Redirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Page impersonates Meta/Facebook and harvests login credentials on an unknown Vercel subdomain – high‑risk phishing.

Risk Factors (5)
Brand impersonation
Credential collection on unknown subdomain
Unranked / low‑reputation domain
Cross‑origin request to external analytics endpoint
Urgent verification language
Domain age information unavailable

Details

Page Title

Meta für Unternehmen – Seitenattraktivität

Scan Type

public

Domain Name Analysis

Domain 'hasjvhlkas0-shfkl1jp32.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'hasjvhlkas0-shfkl1jp32'. Count 6 characters in 'vercel' holding two vowels versus four consonants. Tokenizing the label suggests two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://hasjvhlkas0-shfkl1jp32.vercel.app/

Page Load Overview

2.06s
Total Load Time
1 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
364.29.17.131United States
AS16509Amazon.com, Inc.
31--

Detected Technologies6

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:#2d862d

Scan History

Scan history not available

Unable to load historical scan data