ScanMalware.com

Security Scan Report: urlshort-linkmusa7f4feq6q.qop8o0p61h.workers.dev

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/3c92b9e5-677b-4bb6-9028-9aaa355b13d4Domain and IP registration (RDAP)/api/v1/rdap/3c92b9e5-677b-4bb6-9028-9aaa355b13d4How often this domain was scanned/api/v1/domain/stats/urlshort-linkmusa7f4feq6q.qop8o0p61h.workers.devScan history for this domain/api/v1/domain/history/urlshort-linkmusa7f4feq6q.qop8o0p61h.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-linkmusa7f4feq6q.qop8o0p61h.workers.dev/site/information-service-uijmpp

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Fake DIHK/IHK page on a throwaway workers.dev subdomain soliciting name, address, phone, email and IBAN under a 'verify your data' pretext. Brand impersonation plus financial-data harvesting — do not submit anything.

Risk Factors (5)
Brand impersonation of DIHK/IHK on an unrelated, instantly-created Cloudflare Workers subdomain
Harvesting of IBAN and full identity/contact details under a government-chamber pretext
Randomized hostname pattern (urlshort-link...random.workers.dev) typical of throwaway phishing infrastructure
Urgency wording pressuring victims to re-submit personal data
Unranked domain with no legitimate business presence of its own
Domain age information unavailable

Details

Page Title

DlHK

Scan Type

public

Domain Name Analysis

The domain 'urlshort-linkmusa7f4feq6q.qop8o0p61h.workers.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'urlshort-linkmusa7f4feq6q.qop8o0p61h'. The registrable portion 'workers' spans 7 characters split between 2 vowels and five consonants. Word splitting yields one word: workers. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://urlshort-linkmusa7f4feq6q.qop8o0p61h.workers.dev/site/information-service-uijmpp

Page Load Overview

1.63s
Total Load Time
437 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
8188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7188.114.97.3Cloudflare · 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

T14363B991F3F732BA2027C2825A262F2A6EF65177C581AD20B1BD06731F16ED35A0754F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:lzzOtylBGtVjU2fAKY7RtTGEi7WULKW7qgx4G4rEdQC/oOx9LNUC8TlNwTlNuE90:lzznFbTGEi7vLKW7D8qW4WS9DWsWp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:66972:QQoggqCCgDmDqugwuCGikICTEYSC1VKSEAQwSqZOsJLMkBACCNBiYCI8SFAJEUkk6CgSiriZVoIAQAxcRAFRRl4JISBBRCGB

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:#c9e06c

Other Hashes

Crop Resistant:c098110111011101,407d212121212121

Scan History

Scan history not available

Unable to load historical scan data