Summary
This website contacted 6 IPs in 4 countries across 5 domains to perform 25 HTTP transactions. The main domain is sangshen.love and was registered NaN years ago.
Submitted URL: https://sangshen.love/
AI Security Verdict
High Risk
Confidence: 95%
Phishing page impersonating Telegram on a newly‑registered, unranked domain – high risk.
Risk Factors
Details
Page Title
Telegram
Scan Type
public
Language
English
Category
social media network
(53%)Domain Information
You're looking at domain 'sangshen.love' on the .love top-level domain and has no subdomain. The core label 'sangshen' covers 8 characters containing two vowels alongside six consonants. Breaking it apart gives two words: sang, shen. Expect four characters per word on average. 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 | 104.26.13.205 | United States | AS13335CLOUDFLARENET |
| 4 | 47.79.254.33 | Singapore | AS45102Alibaba US Technology Co., Ltd. |
| 4 | 149.154.167.99 | London, England, United Kingdom | AS62041Telegram Messenger Inc |
| 4 | 104.26.12.205 | United States | AS13335CLOUDFLARENET |
| 4 | 172.67.74.152 | United States | AS13335CLOUDFLARENET |
| 4 | 2001:67c:4e8:f004::9 | Amsterdam, North Holland, Netherlands | AS62041Telegram Messenger Inc |
| 25 | 6 | - | - |
Detected Technologies3
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
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