ScanMalware.com

Security Scan Report: urlshort-linkmusa288jepqf.mvivrtyxnh.workers.dev

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/0882b2a5-fbf5-43cb-8896-a49907577254Domain and IP registration (RDAP)/api/v1/rdap/0882b2a5-fbf5-43cb-8896-a49907577254How often this domain was scanned/api/v1/domain/stats/urlshort-linkmusa288jepqf.mvivrtyxnh.workers.devScan history for this domain/api/v1/domain/history/urlshort-linkmusa288jepqf.mvivrtyxnh.workers.dev?limit=15
This website contacted 2 IPs in 1 country across 1 domain to perform 15 HTTP transactions. The main domain is workers.dev and was registered 7 years ago.

Submitted URL: https://urlshort-linkmusa288jepqf.mvivrtyxnh.workers.dev/site/information-service-939vvj

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Fake DIHK/IHK page on a random workers.dev subdomain asking users to 'verify their data' and hand over identity details plus an IBAN. Cloned IHK Pfalz content; clear brand impersonation and data harvesting.

Risk Factors (5)
Brand impersonation of a different organisation (DIHK/IHK Pfalz) on a domain that is not theirs
Financial data collection (IBAN) alongside identity data on a shared-hosting subdomain
Lookalike branding ('DlHK' with a lowercase L for 'DIHK') and cloned cookie/legal text
Randomised 'urlshort-' subdomain consistent with short-link/redirect abuse
No relationship between the hosting subdomain and the impersonated organisation
Domain age information unavailable

Details

Page Title

DlHK

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'urlshort-linkmusa288jepqf.mvivrtyxnh.workers.dev' is registered and includes subdomain 'urlshort-linkmusa288jepqf.mvivrtyxnh'. The registrable portion 'workers' spans 7 characters containing two vowels alongside 5 consonants. Word splitting yields one word: workers. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://urlshort-linkmusa288jepqf.mvivrtyxnh.workers.dev/site/information-service-939vvj

Page Load Overview

0.98s
Total Load Time
436 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:13,004 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business66% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

corporate business
66%
government public service
44%
adult content
40%
entertainment media
36%
finance banking
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.21.9.6Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7172.67.140.206Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
152--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14163B991F3F732BA2027C2825A262F2A6EE65177C581AD20B1BD06731F16ED35A0754F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:lcnOtylKKtVjU2fAKY7RtTGEi7WULKW7qgx4G4rEdQC/oOx9LNUC8TlNwTlNuE90:lcgzFbTGEi7vLKW7D8qW4WS9DWsWp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:66972:EQowkumYoDOBPqKBgABktbATAgTDBQ2kEBAUw6ZJPtANkBIhisBjYiBgQdwIRcxA6QABg7wZlAAGQARacEBHAnVMKgABgArB

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:fffcf8f8f8f8f8f8
Perceptual Hash:dba5a4a6a6a46969
Difference Hash:c098110111011101
Wavelet Hash:7fc8c8d0d8d8d8d8
Color Hash:#d22d9b

Other Hashes

Crop Resistant:c098110111011101,407d212121212121

Scan History

Scan history not available

Unable to load historical scan data