Security Scan Report: yfhmg.love

Redirected to: https://yfhmg.love/

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Submitted: Dec 29, 2025, 12:51:23 PMCompleted: Dec 29, 2025, 12:52:51 PMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 4 domains to perform 44 HTTP transactions. The main domain is yfhmg.love and was registered NaN years ago.

Submitted URL: http://yfhmg.love/

Effective URL: https://yfhmg.love/Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

High‑risk phishing site impersonating Telegram; avoid and report.

Risk Factors
Brand impersonation (Telegram) on an unranked, brand‑new domain
Domain age < 7 days (critical risk multiplier)
Google Safe Browsing social engineering threat
Use of QR‑code login flow to harvest Telegram credentials
Domain age information unavailable

Details

Page Title

Telegram

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(53%)

Domain Information

The domain 'yfhmg.love' uses the .love top-level domain without a subdomain. Count 5 characters in 'yfhmg' containing 0 vowels alongside five consonants. Segmentation suggests 3 words: y, fhm, g. Expect 1 character per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://yfhmg.love/

Page Load Overview

8.90s
Total Load Time
26
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
34%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10172.67.74.152United States
AS13335CLOUDFLARENET
8149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger Inc
845.207.208.121Mauritius
AS401696COGNETCLOUD
263--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14D5387A85DD85B298A08D78EC5DF5DEC1089C1C68808805FBB757AA7C67CD34ACBC397

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KtSGs303pcCcGyHmfzNjUzj/aYrYtQtitX5VZY:4dsZGfzBAj/aYrYtQtitfe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:62522:AgJQYvIojCtEHBAoC66QgA4RBMMF5iJEIAgAEgAagQJqMT5TaRAQNwBgAY5RIfDOCFdIPMgEKEFAsED1ERRWiAAgEBZcAQkZ

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:b323cccc3333cccc
Difference Hash:00000c0c08000000
Wavelet Hash:3c242424273f3f3f
Color Hash:#836ce0

Other Hashes

Crop Resistant:00000c0c08000000

Scan History

Scan history not available

Unable to load historical scan data