Summary
This website contacted 7 IPs in 2 countries across 8 domains to perform 1 HTTP transaction. The main domain is gb.myqsso.quadient.com and was registered NaN years ago.
Submitted URL: https://www.myneopost.co.uk
Effective URL: https://gb.myqsso.quadient.com/Login?response_type=code&state=GB_en-US__VzFofiFwObQp6q7xNwGxSoeHXGkRqRKKcBnu0GQBM612fkAl&client_id=3MVG9LBJLApeX_PBABK_4YfEKoqAGJSQ7OBz1jt65.4z3n6vwKh1ZeNreHFLmDLSfvv.Ks3oaZz5z_jNuc0V2&scope=&redirect_uri=https://my.quadient.com/sign-inRedirected
AI Security Verdict
Moderate Risk
Confidence: 78%
Site shows Quadient branding on an unrelated, unranked domain but lacks credential collection; high JS obfuscation raises caution.
Risk Factors
Safety Factors
Details
Page Title
Quadient Login
Scan Type
public
Language
English
Category
blog personal website
(58%)Domain Information
Within the United Kingdom country-code top-level domain (.co.uk), 'www.myneopost.co.uk' is registered and includes subdomain 'www'. The registrable portion 'myneopost' spans 9 characters with 3 vowels and 6 consonants. Word splitting yields 3 words: my, neo, post. The median word length lands at three 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 |
|---|---|---|---|
| 27 | 104.18.32.137 | United States | AS13335Cloudflare, Inc. |
| 22 | 20.67.176.86 | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 22 | 104.18.10.207 | United States | AS13335Cloudflare, Inc. |
| 22 | 150.171.109.193 | United States | AS8075Microsoft Corporation |
| 22 | 192.178.183.97 | United States | AS15169Google LLC |
| 22 | 142.250.154.95 | United States | AS15169Google LLC |
| 22 | 142.250.154.97 | United States | AS15169Google LLC |
| 159 | 7 | - | - |
Detected Technologies12
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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