Security Scan Report: ciconect.neocities.org

Redirected to: https://pjsn.privele.com/ZlXiwiZvvsxsGwZvonPaynZvpxhxwvmzvsyifqmDvsGwjqPapiWxDohxZlXiFiPhihWxfpPhslPngswinlApgsPnnlWjwvgsslhxfpDrihhxpiApihPaondQ

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Submitted: Oct 14, 2025, 7:30:45 PMCompleted: Oct 14, 2025, 7:31:55 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 2 domains to perform 4 HTTP transactions. The main domain is pjsn.privele.com and was registered NaN years ago.

Submitted URL: https://ciconect.neocities.org/

Effective URL: https://pjsn.privele.com/ZlXiwiZvvsxsGwZvonPaynZvpxhxwvmzvsyifqmDvsGwjqPapiWxDohxZlXiFiPhihWxfpPhslPngswinlApgsPnnlWjwvgsslhxfpDrihhxpiApihPaondQRedirected

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

No malicious activity detected; page shows a 404 error.

Safety Factors
No malicious Indicators of Compromise matches
No forms detected
Standard 404 error page
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Domain 'ciconect.neocities.org' uses the non-profit oriented generic top-level domain (.org), featuring subdomain 'ciconect'. The second-level label 'neocities' is 9 characters long holding 5 vowels versus 4 consonants. Breaking it apart gives 2 words: neo, cities. Median word length is 4.5 characters. 'neko' most often appears in Latvian. Secondary signals appear in Vietnamese and English.

Screenshot

Security scan screenshot of https://ciconect.neocities.org/

Page Load Overview

1.01s
Total Load Time
4
HTTP Requests
2
Domains
1 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
0
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
223.143.32.11United States
AS395409NEOCITIES
1217.76.57.105Düsseldorf, North Rhine-Westphalia, Germany
AS51167Contabo GmbH
12620:2:6000::a:1United States
AS395409NEOCITIES
43--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T193D0A5FD54110C475571B6777CD33951A63317D5E99D5964E0C0517B3DD0B14CDC121D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4QW3tnMRJlqr+VjPoJdVIShRFPwc1BGG50hRGb:hPgxMcqVTCHZ5aRGb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:258e02d1b611bc6d9f97c76689834ad3

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:3fffffffffffffff
Perceptual Hash:870707070f0f1f3f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#9e6ce0

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data