Summary
This website contacted 11 IPs in 3 countries across 8 domains to perform 14 HTTP transactions. The main domain is and was registered NaN years ago.
Submitted URL: https://www.wanomc.ru/local/.admin.html?clckid=691b1533
Effective URL: blob:https://pub-f830f149b1b94e8098e2a2aaaa639d2c.r2.dev/a5fe6144-6c85-4d30-a7be-e678a7803e14Redirected
AI Security Verdict
Moderate Risk
Confidence: 95%
The site impersonates Credit One Bank, uses a blob URL and redirects to harvest credentials; treat as confirmed phishing scam.
Risk Factors
Safety Factors
Details
Page Title
Sign In | Credit One Bank
Scan Type
public
Language
English
Category
finance banking
(75%)Domain Information
The domain 'www.wanomc.ru' uses the Russian country-code top-level domain (.ru), featuring subdomain 'www'. The second-level label 'wanomc' is 6 characters long split between two vowels and 4 consonants. Breaking it apart gives three words: wan, om, c. Median word length is 2 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 4 | 142.251.110.95 | United States | AS15169Google LLC |
| 1 | 151.101.2.137 | United States | AS54113Fastly, Inc. |
| 1 | 142.251.14.95 | United States | AS15169Google LLC |
| 1 | 104.17.25.14 | United States | AS13335Cloudflare, Inc. |
| 1 | 142.251.110.94 | United States | AS15169Google LLC |
| 1 | 23.50.131.138 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 23.50.131.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 151.101.66.137 | United States | AS54113Fastly, Inc. |
| 1 | 62.117.93.58 | Russia | AS8732JSC Comcor |
| 1 | 151.101.130.137 | United States | AS54113Fastly, Inc. |
| 14 | 11 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data