Security Scan Report: yfhmg.love

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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 3 countries across 4 domains to perform 25 HTTP transactions. The main domain is yfhmg.love and was registered 10 months ago.

Submitted URL: https://yfhmg.love/

AI Security Verdict

High Risk

Confidence: 95%

10
Risk Score

High‑risk phishing site impersonating Telegram on a brand‑new unranked domain.

Risk Factors (5)
Brand impersonation on a newly registered domain
Critical domain age (<7 days)
Google Safe Browsing social engineering detection
Unranked domain with low reputation
Absence of legitimate branding or verification cues
Domain age information unavailable

Details

Page Title

Telegram

Scan Type

public

Domain Name Analysis

Within the .love top-level domain, 'yfhmg.love' is registered with no subdomain. The core label 'yfhmg' covers 5 characters containing 0 vowels alongside 5 consonants. Breaking it apart gives 3 words: y, fhm, g. Median word length comes out to 1 character. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

6.83s
Total Load Time
536 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
745.207.208.121Mauritius
AS401696COGNETCLOUD
6172.67.74.152United States
AS13335CLOUDFLARENET
6149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger Inc
6104.26.12.205UnknownUnknown
254--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1355386A85DD85B298E18D78FC5DB1DEC1089C1C68808805FBB756AA7C67CD34ACBC397

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KtSGs303pcCcGyHmNbD4LKA1r2z7CpUtQtitX5VZY:4dsZGNbULKA1r2z+pUtQtitfe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:61276:eBBGiACIBM63ogUGpCkEBIV0g2TQFiUEAkEiQHGhCkjhoBuQCgx0CIoFYAkF7IRCQKYMAsIIcMCAGBAAEAmcaWEKhghRCAgM

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:1c042424273f0f0f
Color Hash:#7f79d2

Other Hashes

Crop Resistant:00000c0c08000000

Scan History

Scan history not available

Unable to load historical scan data