Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 4 HTTP transactions. The main domain is imapmail.163.com and was registered NaN years ago.
Submitted URL: https://imapmail.163.com
The Cisco Umbrella rank of the primary domain is #9,432 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 99%
AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.
Safety Factors
Details
Page Title
网易电子邮箱
Scan Type
public
Language
Swedish
Category
healthcare medical
(80%)Domain Information
Domain 'imapmail.163.com' uses the commercial generic top-level domain (.com) and includes subdomain 'imapmail'. The second-level label '163' is 3 characters long with 0 vowels and 0 consonants; bonus characters include three digits. It segments into 1 word: 163. Median word length comes out to 3 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 |
|---|---|---|---|
| 2 | 111.124.203.50 | China | AS139203Guizhou GuiAn IDC |
| 0 | 103.129.252.61 | Hong Kong | AS137263NETEASE HONG KONG LIMITED |
| 0 | 103.129.252.59 | Hong Kong | AS137263NETEASE HONG KONG LIMITED |
| 2 | 3 | - | - |
Detected Technologies1
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