Summary
This website contacted 26 IPs in 4 countries across 7 domains to perform 104 HTTP transactions. The main domain is oocities.org and was registered NaN years ago.
Submitted URL: https://www.oocities.org/wrenbe/amybrown.html
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
AmyBrown
Scan Type
public
Language
UNKNOWN
Category
unknown
(0%)Domain Information
Domain 'www.oocities.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. The core label 'oocities' covers 8 characters split between five vowels and three consonants. Word splitting yields two words: oo, cities. Median word length is four characters. The linguistic tilt is English for 'oo'. It also appears in Chinese (Pinyin) and Indonesian contexts. Taken together, it feels English.
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 |
|---|---|---|---|
| 51 | 62.146.177.235 | St Louis, Missouri, United States | AS40021CONTABO-40021 |
| 16 | 23.192.17.145 | London, England, United Kingdom | AS16625AKAMAI-AS |
| 16 | 69.173.156.138 | United States | AS26667RUBICONPROJECT |
| 9 | 23.212.211.47 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 8 | 69.173.156.131 | United States | AS26667RUBICONPROJECT |
| 4 | 69.173.156.133 | United States | AS26667RUBICONPROJECT |
| 4 | 69.173.144.138 | Frankfurt am Main, Hesse, Germany | AS26667RUBICONPROJECT |
| 4 | 216.58.206.40 | United States | AS15169GOOGLE |
| 4 | 69.173.156.134 | United States | AS26667RUBICONPROJECT |
| 4 | 69.173.156.132 | United States | AS26667RUBICONPROJECT |
| 104 | 26 | - | - |
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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