Summary
This website contacted 10 IPs in 4 countries across 10 domains to perform 117 HTTP transactions. The main domain is eejjkf.app and was registered NaN years ago.
Submitted URL: http://eejjkf.app/
Effective URL: https://eejjkf.app/#/pages/index/homeRedirected
AI Security Verdict
Low Risk
Confidence: 78%
New site with no obvious malicious activity; monitor due to recent registration.
Risk Factors
Safety Factors
Details
Page Title
EEJJKF
Scan Type
public
Language
Portuguese
Category
corporate
(50%)Domain Information
You're looking at domain 'eejjkf.app' on the application-focused generic top-level domain (.app) and has no subdomain. The registrable portion 'eejjkf' spans 6 characters split between 2 vowels and four consonants. Segmentation suggests 3 words: ee, jj, kf. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 18 | 2.16.168.58 | United States | |
| 13 | 23.36.163.25 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 13 | 104.18.4.66 | United States | AS13335Cloudflare, Inc. |
| 13 | 104.18.24.18 | United States | AS13335Cloudflare, Inc. |
| 13 | 43.152.26.209 | Singapore | AS139341ACE |
| 13 | 163.181.58.167 | Frankfurt am Main, Hesse, Germany | AS24429Zhejiang Taobao Network Co.,Ltd |
| 13 | 124.221.80.91 | Unknown | |
| 13 | 104.18.20.171 | United States | AS13335Cloudflare, Inc. |
| 13 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 13 | 149.154.167.99 | Amsterdam, North Holland, Netherlands | AS62041Telegram Messenger Inc |
| 135 | 10 | - | - |
Detected Technologies3
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
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