Summary
This website contacted 19 IPs in 4 countries across 4 domains to perform 68 HTTP transactions. The main domain is apollocu.top and was registered NaN years ago.
Submitted URL: http://apollocu.top/
Effective URL: https://apollocu.top/?ms=1761237571332Redirected
AI Security Verdict
Details
Page Title
N/A
Scan Type
public
Language
Turkish
Category
finance banking
(60%)Domain Information
The domain name 'apollocu.top' uses the .top top-level domain with no subdomain. The core label 'apollocu' covers 8 characters containing four vowels alongside 4 consonants. Splitting it apart reveals 2 words: apollo, cu. The median word length lands at four characters. Most frequently, 'apollo' shows up in Romanian. It also appears in Bosnian and Croatian contexts. Net impression: Romanian phrase.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 14 | 163.181.92.198 | Frankfurt am Main, Hesse, Germany | AS24429Zhejiang Taobao Network Co.,Ltd |
| 3 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 3 | 106.54.228.253 | Shanghai, Shanghai, China | AS45090Shenzhen Tencent Computer Systems Company Limited |
| 3 | 47.79.64.162 | Hong Kong, Hong Kong | AS45102Alibaba US Technology Co., Ltd. |
| 3 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 3 | 118.25.42.241 | Shanghai, Shanghai, China | AS45090Shenzhen Tencent Computer Systems Company Limited |
| 3 | 124.220.203.60 | Shanghai, Shanghai, China | AS45090Shenzhen Tencent Computer Systems Company Limited |
| 3 | 2a06:98c1:3121::3 | United States | AS13335CLOUDFLARENET |
| 3 | 163.181.92.197 | Frankfurt am Main, Hesse, Germany | AS24429Zhejiang Taobao Network Co.,Ltd |
| 3 | 2408:4005:30a:4302:6218:d8d9:db29:65c1 | Hangzhou, Zhejiang, China | AS37963Hangzhou Alibaba Advertising Co.,Ltd. |
| 68 | 19 | - | - |
Detected Technologies2
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data