Summary
This website contacted 30 IPs in 2 countries across 6 domains to perform 18 HTTP transactions. The main domain is cleanerguru.universeapps.limited and was registered NaN years ago.
Submitted URL: https://cleanerguru.universeapps.limited/
The Cisco Umbrella rank of the primary domain is #627,895 of the top 1 million websites
AI Security Verdict
Details
Page Title
Cleaner
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Within the .limited top-level domain, 'cleanerguru.universeapps.limited' is registered and includes subdomain 'cleanerguru'. The second-level label 'universeapps' is 12 characters long with five vowels and 7 consonants. Segmentation suggests 2 words: universe, apps. Median word length is six 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 | 3.161.82.116 | United States | AS16509AMAZON-02 |
| 3 | 3.161.82.81 | United States | AS16509AMAZON-02 |
| 1 | 2.16.110.9 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 0 | 2.16.110.154 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 2.16.110.169 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 2.16.241.7 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 2.16.110.203 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 0 | 2.16.110.186 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 18 | 30 | - | - |
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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