Security Scan Report: yinyu.myloves.online

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Submitted: Completed: publiccompleted
This website contacted 12 IPs in 2 countries across 7 domains to perform 57 HTTP transactions. The main domain is myloves.online and was registered 2 months ago.

Submitted URL: https://yinyu.myloves.online/

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Dating-style lure on a 72-day-old domain carrying multi-feed APT malware Indicators of Compromise and a CRITICAL Coruna/DarkSword iOS exploit-kit beacon; treat as malware distribution and avoid.

Risk Factors (7)
Content-malware Indicators of Compromise on the primary domain corroborated by two feeds
Multiple third-party resource domains sharing the same APT malware tag
CRITICAL IDS alert for the Coruna/DarkSword iOS exploit kit beacon
Automated POST beaconing to /api/ip-sync/sync and to suspicious *.icu endpoints
Fabricated social-proof counters ('12,847 dating partners online', 'Chatted with 3,264 people') on a 72-day-old unranked domain
Account-creation flow collecting nickname and email behind coercive 'open in Safari / copy link' steps
Page text repeatedly asserts it is only a 'demo' with 'no server' — a disclaimer contradicted by the observed exploit-kit and cross-origin network behaviour
Domain age information unavailable

Details

Page Title

Aimee — Your dating partner

Scan Type

public

Domain Name Analysis

You're looking at domain 'yinyu.myloves.online' on the modern generic top-level domain (.online) and includes subdomain 'yinyu'. The registrable portion 'myloves' spans 7 characters with 2 vowels and 5 consonants. Tokenizing the label suggests two words: my, loves. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://yinyu.myloves.online/

Page Load Overview

1.76s
Total Load Time
3.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,125 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network56% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
56%
technology software
53%
news media journalism
43%
government public service
43%
cryptocurrency blockchain
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4172.67.168.32Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
42.16.204.18Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
423.50.131.221Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4104.21.46.61Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
42.23.227.70Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
42.23.227.84Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
42.23.227.66Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
42.16.10.92Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5712--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CB6378AAD1F311333463A1FA6AAB67693AE1D00BC50EC5147EAC57990FCACD1BC17748

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:oK5EGTr+tCJee2usfERNqdkcdH/4k/CUQFR/3a/kI/bC/R0/loq4:HEGTCKsdZM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:67457:JAwABkQSDXdRZBhAlHGRAe1gMQyGAiQxWQRwQ3CeAGiZoAAAkTVQEgGE9BgDQASwl4RpBRjHBUoQAAyZBJr2gugwoChLEgLQ

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:00062e24207e7e00
Perceptual Hash:92323cc96dcd6963
Difference Hash:d5cccccdddccc5c5
Wavelet Hash:010e6e07657f7f05
Color Hash:#763a78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data