ScanMalware.com

Security Scan Report: sangshen.love

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Submitted: Dec 9, 2025, 9:01:36 AMCompleted: Dec 9, 2025, 9:02:53 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 95%

10
Risk Score

Phishing page impersonating Telegram on a newly‑registered, unranked domain – high risk.

Risk Factors (4)
Brand impersonation of Telegram on an unrelated domain
Domain registered within the last 7 days
Unranked domain with no reputation
Use of QR‑code login page to harvest credentials
Domain age information unavailable

Details

Page Title

Telegram

Scan Type

public

Domain Name Analysis

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

Security scan screenshot of https://sangshen.love/

Page Load Overview

38.29s
Total Load Time
564 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:218 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network53% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
53%
technology software
34%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.26.13.205United States
AS13335CLOUDFLARENET
447.79.254.33Singapore
AS45102Alibaba US Technology Co., Ltd.
4149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger Inc
4104.26.12.205United States
AS13335CLOUDFLARENET
4172.67.74.152United States
AS13335CLOUDFLARENET
42001:67c:4e8:f004::9Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
256--

Detected Technologies3

Open-Graph-Protocolvwebsite
100%
HTTP/3
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T107F15062E724E83A2357067D34E1F10E46E2E447D7C1AA50B9A972E20F8FDF780E7255

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ajtSoUZZUG7Lt103pYSMCcGyqW75QhE58h:+tSGs303pcCcGyHmd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7969:ASgC2JHAKMIZCKYcnVvIggYtCAZ0GABQgQTAIANS8CEfADACQHgAFALcAACAuZEAIGHpINAGkEFQFBiDABHFMxBidT41kAWO

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

Average Hash:ffffe7e7e7ffffff
Perceptual Hash:b333cc8c3333cccc
Difference Hash:00000c0c08000000
Wavelet Hash:3c242424e4fcfcfc
Color Hash:#ac5397

Other Hashes

Crop Resistant:00000c0c08000000

Scan History

Scan history not available

Unable to load historical scan data