Security Scan Report: www.digitalbusiness-cmo.at

Redirected to:
https://consent.youtube.com/m?continue=https%3A%2F%2Fwww.youtube.com%2...
Site favicon
Submitted: Oct 7, 2026, 10:02:16 PMCompleted: Oct 7, 2026, 10:02:55 PMpubliccompleted

This website contacted 11 IPs in 1 country across 7 domains to perform 31 HTTP transactions. The main domain is consent.youtube.com and was registered 29 years ago.

Submitted URL: https://www.digitalbusiness-cmo.at/

Effective URL:

https://consent.youtube.com/m?continue=https%3A%2F%2Fwww.youtube.com%2...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Analyst-vetted kit roster flags www.digitalbusiness-cmo.at as a RosyGuard cloaker impersonating CIBC business banking; it cloaks behind a YouTube consent redirect. Treat as malicious phishing infrastructure.

Risk Factors (4)
Known malicious phishing kit (RosyGuard cloaker) identified by analyst-vetted kit roster with CRITICAL severity
Impersonation of a Canadian bank's business-banking brand on a non-official look-alike domain
Cloaking / redirect to a benign YouTube consent page to evade automated analysis
WebAssembly-based fingerprinting gate with script encoding/decoding functions
Domain age information unavailable

Details

Page Title

Before you continue to YouTube

Scan Type

public

Domain Name Analysis

Domain 'www.digitalbusiness-cmo.at' uses the Austrian country-code top-level domain (.at); it also runs on subdomain 'www'. The registrable portion 'digitalbusiness-cmo' spans 19 characters with seven vowels and 11 consonants; it also includes one hyphen. Splitting it apart reveals four words: digital, business, cm, o. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.digitalbusiness-cmo.at/

Page Load Overview

2.54s
Total Load Time
543 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:3,076 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business33% confidence
Type: webapp
Method: ml+structural

All Detected Categories

corporate business
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11142.250.154.113Google · CDNUnited States
AS15169Google LLC
2107.173.18.67Buffalo, New York, United States
AS36352HostPapa
2142.251.152.4Google · CDNUnited States
AS15169Google LLC
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
2142.251.154.119Google · CDNUnited States
AS15169Google LLC
2107.173.18.69Buffalo, New York, United States
AS36352HostPapa
2107.173.18.68Buffalo, New York, United States
AS36352HostPapa
2142.251.156.4Google · CDNUnited States
AS15169Google LLC
2142.250.154.139Google · CDNUnited States
AS15169Google LLC
3111--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14DC475DB9134E07FEE33A5B1A9C8AA49F39D4491E20E0576BD74B66316DFDA21342330

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:w8q3j6/8+Oq3j6/8+Iq3j6/8+tq3j6/8+eq3j6/8+dQISNt1/tjTunC1v9UuX9mS:tjTunC1v9x9mS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:588199:XIAgyIBKLCF2DAuAgEgZKGZFWCIQID5BMEBgOQEFSEKkBAFxigmuORAAQgtpPsBYFAYkpBEQCLAIQRCDlVpCmDAUAAURIlhE

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:ffc7c7cfc7c3f3ff
Perceptual Hash:b193ce649bcc6493
Difference Hash:340c1e181e162600
Wavelet Hash:c2c7c2c6c2c2c2fe
Color Hash:#c3c587

Other Hashes

Crop Resistant:340c1e181e162600

Scan History

Scan history not available

Unable to load historical scan data