Security Scan Report: w24os1ku4e-a6c2df4953.vercel.app

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Submitted: Aug 30, 2026, 12:45:18 AMCompleted: Aug 30, 2026, 12:47:43 AMpubliccompleted

This website contacted 10 IPs in 2 countries across 6 domains to perform 22 HTTP transactions. The main domain is w24os1ku4e-a6c2df4953.vercel.app and was registered 6 years ago.

Submitted URL: https://w24os1ku4e-a6c2df4953.vercel.app/meta-dashboard-2834438367811613.html

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Page impersonates Meta brand on an unknown-age subdomain but lacks credential collection; treat as moderate risk.

Risk Factors
Unranked domain in Cisco Umbrella
Brand impersonation without legitimate affiliation
Safety Factors
No forms collecting credentials or payments
No malicious IoC or YARA detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

Datenschutzcenter – Überprüfungsanfrage

Scan Type

public

Domain Name Analysis

Domain 'w24os1ku4e-a6c2df4953.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'w24os1ku4e-a6c2df4953'. Count 6 characters in 'vercel' with two vowels and 4 consonants. Breaking it apart gives two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://w24os1ku4e-a6c2df4953.vercel.app/meta-dashboard-2834438367811613.html

Page Load Overview

5.81s
Total Load Time
452 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:1,469 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content67% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
67%
government public service
57%
news media journalism
50%
blog personal website
48%
social media network
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
464.29.17.131United States
AS16509Amazon.com, Inc.
2104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.9.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2216.198.79.131United States
AS16509Amazon.com, Inc.
2159.89.102.253Frankfurt am Main, Hesse, Germany
AS14061DigitalOcean, LLC
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2210--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C801DD8F04D0941A1250A255F8E6B029CC8B452F4AA84E52BCF815385FE86A994EB89D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRjyLqAc2SJS+pRQcclboZPDFP2OL/xLhVG:hRjOqftJ9RbcNgDFuGhVG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:658:AAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAIBBAAAAAAAAAAAAAAAAAAACAACAAAAAAAAgDgAAAAAAAAAAAAAAAAAAAAgAA

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:c7c7c3c3e7ffffff
Perceptual Hash:b37198ce269cccc6
Difference Hash:9c9f9f8e4d324dca
Wavelet Hash:c4c0c1c3c70f1f3f
Color Hash:#c587a3

Other Hashes

Crop Resistant:9c9f9f8e4d324dca

Scan History

Scan history not available

Unable to load historical scan data