Security Scan Report: www.oocities.org

Submitted: Oct 14, 2025, 2:00:07 AMCompleted: Oct 14, 2025, 2:03:50 AMpubliccompleted
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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%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain with well‑established registration date
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

AmyBrown

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

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

Security scan screenshot of https://www.oocities.org/wrenbe/amybrown.html

Page Load Overview

28.28s
Total Load Time
104
HTTP Requests
7
Domains
632 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:8 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5162.146.177.235St Louis, Missouri, United States
AS40021CONTABO-40021
1623.192.17.145London, England, United Kingdom
AS16625AKAMAI-AS
1669.173.156.138United States
AS26667RUBICONPROJECT
923.212.211.47Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
869.173.156.131United States
AS26667RUBICONPROJECT
469.173.156.133United States
AS26667RUBICONPROJECT
469.173.144.138Frankfurt am Main, Hesse, Germany
AS26667RUBICONPROJECT
4216.58.206.40United States
AS15169GOOGLE
469.173.156.134United States
AS26667RUBICONPROJECT
469.173.156.132United States
AS26667RUBICONPROJECT
10426--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5419927D415E53D22204278B4E2F60C6E3E0576F3C25CD5778D20A86FC0B425E9EA9E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:kssRA9Rkzkqc+ZHnOxvdvg9SIneSInDbxGmRbuWIGmR2tEk4mT4TOo3TfQc99r0I:1kHGvg9STSgVlMWIlMTSTOBGQy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2028:ABIBAEABAAAgAACgAAICARAABQCBCgAAEAIQAAAEAEAAEAgJAQAAAAQAgAgAAAEAEEACAAARiAAkAACAAgAAAAAAQAAABAIg

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:e7e4e49090f0f0b0
Perceptual Hash:e672a3899c99e0bc
Difference Hash:4d4d0d2024486064
Wavelet Hash:e7e3e0d0d0f0f0f0
Color Hash:#8abf40

Scan History

Scan history not available

Unable to load historical scan data