Security Scan Report: www.geocities.ws

Submitted: Oct 22, 2025, 12:52:28 AMCompleted: Oct 22, 2025, 12:53:33 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 3 domains to perform 5 HTTP transactions. The main domain is geocities.ws and was registered NaN years ago.

Submitted URL: https://www.geocities.ws/vegeta/gct-4lhhjd

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with long registration history
No suspicious forms or data collection
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Website Access Blocked

This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.

Page Title

Just a moment...

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

entertainment media

(73%)

Domain Information

The domain name 'www.geocities.ws' uses the .ws country-code top-level domain with subdomain 'www'. The second-level label 'geocities' is 9 characters long split between five vowels and four consonants. Breaking it apart gives 2 words: geo, cities. Average segment length settles at 4.5 characters. 'geo' is most common in English usage. Usage also turns up in Chinese (Pinyin) and Indonesian contexts.

Screenshot

Security scan screenshot of https://www.geocities.ws/vegeta/gct-4lhhjd

Page Load Overview

12.14s
Total Load Time
5
HTTP Requests
3
Domains
140 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:2,380 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media73% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
73%
education learning
56%
government public service
54%
documentation technical
53%
blog personal website
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.26.6.14United States
AS13335CLOUDFLARENET
0216.239.32.36United States
AS15169GOOGLE
0142.250.181.232United States
AS15169GOOGLE
0172.67.68.152United States
AS13335CLOUDFLARENET
02001:4860:4802:32::36United States
AS15169GOOGLE
0104.26.7.14United States
AS13335CLOUDFLARENET
0216.239.34.36United States
AS15169GOOGLE
02001:4860:4802:34::36United States
AS15169GOOGLE
02a00:1450:4001:81d::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
59--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17582974B67192C66A13FC0BEFF87FB9DAB4D0845CE0DABAD74542918CA4C81DC1B258D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Jb/UTyQw/f9tvPDob5DHiunr6nEEF9q/N59p6UrCp/nKNd6puEn6PnV8aprz:JUGr32DC9EEFg/N5fta/oMIE0K4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18987:hAhRwMIhwmikMZFwcWgjQAUGkg7BIIAgsSw2A4OLZAp0BIAEQkIuSY6DYiRQUAKEXwAknBA6UkABAIC1CMSQSGYi4ebgBgAK

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:ffc3c3c3c3c7c7cf
Perceptual Hash:b04482c7cdcbcdcb
Difference Hash:060e1616161e1c1e
Wavelet Hash:fec2c2c2c2c2c7c7
Color Hash:#1f937c

Other Hashes

Crop Resistant:060e1616161e1c1e

Scan History

Scan history not available

Unable to load historical scan data