Summary
This website contacted 2 IPs in 2 countries across 18 domains to perform 2 HTTP transactions. The main domain is i.qq.com and was registered 17 years ago.
Submitted URL: https://i.qq.com/?s_url=http%3A%2F%2Fuser.qzone.qq.com%2F536773870%2Fphoto%2FV50GR8823hgkAG0BDlkm2AaUsS1E0SQL%2F
The Cisco Umbrella rank of the primary domain is #1,761 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 92%
The site appears legitimate with no phishing or malware signals.
Safety Factors
Details
Page Title
QQ空间-分享生活,留住感动
Scan Type
public
Language
Chinese
Category
social media network
(87%)Domain Information
You're looking at domain 'i.qq.com' on the commercial generic top-level domain (.com) and includes subdomain 'i'. Its registrable label 'qq' stretches across 2 characters split between zero vowels and two consonants. Segmentation suggests 1 word: qq. 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 |
|---|---|---|---|
| 51 | 203.205.137.228 | Hong Kong | AS132203Tencent Building, Kejizhongyi Avenue |
| 50 | 43.128.17.43 | Singapore | AS132203Tencent Building, Kejizhongyi Avenue |
| 101 | 2 | - | - |
Page Statistics
Detected Technologies3
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