Security Scan Report: zhongwen.love

Submitted: Dec 21, 2025, 6:24:52 PMCompleted: Dec 21, 2025, 6:30:20 PMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 4 domains to perform 25 HTTP transactions. The main domain is zhongwen.love and was registered NaN years ago.

Submitted URL: https://zhongwen.love/

AI Security Verdict

High Risk

Confidence: 92%

10
Risk Score

Impersonates Telegram on a brand‑new, unranked domain – likely phishing.

Risk Factors
Brand impersonation on a newly registered, unranked domain
Use of QR code login flow to harvest credentials
Critical domain age (<7 days) with phishing content
Domain age information unavailable

Details

Page Title

Telegram

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(53%)

Domain Information

You're looking at domain 'zhongwen.love' on the .love top-level domain while skipping any subdomain. The core label 'zhongwen' covers 8 characters holding 2 vowels versus six consonants. Word splitting yields one word: zhongwen. Median word length is 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

81.84s
Total Load Time
25
HTTP Requests
4
Domains
33 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
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
33%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger Inc
8172.67.74.152United States
AS13335CLOUDFLARENET
847.79.252.168Singapore
AS45102Alibaba US Technology Co., Ltd.
253--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T118F16052E724E83A2353067D34E1F10E46E2E447E7C1AA10B9A972E20F8FDF680E7255

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ujtVoUZZUG7Lt103pYSMCcGyqW75QhE58h:KtVGs303pcCcGyHmd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7984:MACqARAMxIMgCAjwGm3DjIIQy6UwpSgUCBEwiEQwLCgBqiEHHgGwBYCBQWQnkJ4HCC5oG8pFOGAEVAEwGAgGQRAQSD2KBjkH

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:ffffffe7ffe3c3c7
Perceptual Hash:b0ce31cc9b669b8c
Difference Hash:0000080c00060e1c
Wavelet Hash:fcfce4e4fcc0c0c0
Color Hash:#e06c92

Other Hashes

Crop Resistant:0000080c00060e1c

Scan History

Scan history not available

Unable to load historical scan data