Summary
This website contacted 9 IPs in 4 countries across 9 domains to perform 35 HTTP transactions. The main domain is and was registered NaN years ago.
Submitted URL: https://viewdoc.newcolours.lt/wx.htm
Effective URL: blob:https://hirealocaltrader.co.uk/d513e3d1-f234-4bdc-a0d8-2408833db4cdRedirected
AI Security Verdict
High Risk
Confidence: 94%
The site impersonates Wells Fargo with credential‑stealing forms and hidden fields, posing a high‑risk phishing threat.
Risk Factors
Details
Page Title
Sign On to View Your Personal Accounts | Wells Fargo
Scan Type
public
Language
English
Category
finance banking
(38%)Domain Information
The domain name 'viewdoc.newcolours.lt' uses the Lithuanian country-code top-level domain (.lt) and includes subdomain 'viewdoc'. The second-level label 'newcolours' is 10 characters long split between four vowels and six consonants. Breaking it apart gives 2 words: new, colours. The median word length lands at five 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 |
|---|---|---|---|
| 6 | 23.56.207.73 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 5 | 104.17.24.14 | United States | AS13335Cloudflare, Inc. |
| 5 | 142.251.127.148 | Germany | |
| 5 | 194.135.86.224 | Lithuania | AS212531UAB Interneto vizija |
| 5 | 172.66.47.148 | United States | AS13335Cloudflare, Inc. |
| 5 | 184.24.77.9 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 151.101.130.137 | United States | AS54113Fastly, Inc. |
| 5 | 88.208.196.137 | United Kingdom | AS8560IONOS SE |
| 5 | 142.251.127.95 | Unknown | Unknown |
| 46 | 9 | - | - |
Detected Technologies9
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