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Security Scan Report: 13vwj9ylqd-8054d15b1a.vercel.app

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Submitted: Aug 30, 2026, 2:45:22 AMCompleted: Aug 30, 2026, 2:48:18 AMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/461c4c5e-65ac-4d5f-a1c6-800371b28426Domain and IP registration (RDAP)/api/v1/rdap/461c4c5e-65ac-4d5f-a1c6-800371b28426Certificate Transparency/api/v1/ct/13vwj9ylqd-8054d15b1a.vercel.appHow often this domain was scanned/api/v1/domain/stats/13vwj9ylqd-8054d15b1a.vercel.appScan history for this domain/api/v1/domain/history/13vwj9ylqd-8054d15b1a.vercel.app?limit=15

This website contacted 12 IPs in 2 countries across 6 domains to perform 23 HTTP transactions. The main domain is 13vwj9ylqd-8054d15b1a.vercel.app and was registered 6 years ago.

Submitted URL: https://13vwj9ylqd-8054d15b1a.vercel.app/ads-manager-config-7861340260939971.html

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The page impersonates Meta without collecting credentials; moderate risk due to brand misuse and unknown subdomain age.

Risk Factors (3)
Brand impersonation on unknown-age subdomain
Unranked domain (not in Cisco Umbrella top 1M)
Hosted on shared‑hosting platform with no reputation
Domain age information unavailable

Details

Page Title

Datenschutzcenter – Überprüfungsanfrage

Scan Type

public

Domain Name Analysis

The domain '13vwj9ylqd-8054d15b1a.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain '13vwj9ylqd-8054d15b1a'. Count 6 characters in 'vercel' holding 2 vowels versus 4 consonants. Tokenizing the label suggests two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://13vwj9ylqd-8054d15b1a.vercel.app/ads-manager-config-7861340260939971.html

Page Load Overview

20.23s
Total Load Time
451 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 content72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
72%
government public service
62%
blog personal website
54%
news media journalism
54%
social media network
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.198.79.3United States
AS16509Amazon.com, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.67.69.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.198.79.67United States
AS16509Amazon.com, Inc.
1104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
164.29.17.67United States
AS16509Amazon.com, Inc.
1104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2312--

Detected Technologies6

Cloudflare
50%
Vercel
40%
HSTS
40%
Tailwind CSS
30%
jsDelivr
20%
cdnjs
20%

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