Security Scan Report: party4d.top

Submitted: Jan 16, 2026, 7:05:00 AMCompleted: Jan 16, 2026, 7:06:50 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is party4d.top and was registered NaN years ago.

Submitted URL: https://party4d.top/GGLE.html

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

New, unranked domain with no malicious content; low risk but monitor for changes.

Risk Factors
Domain is less than 30 days old (very new) and unranked
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches
Page returns a 404 Not Found (no content to harvest)
No external links or redirects
Domain age information unavailable

Details

Page Title

404 Not Found

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

news media journalism

(44%)

Domain Information

Domain 'party4d.top' uses the .top top-level domain with no subdomain. The core label 'party4d' covers 7 characters containing one vowel alongside 5 consonants, notching 1 digit. Splitting it apart reveals three words: party, 4, d. Expect 1 character per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://party4d.top/GGLE.html

Page Load Overview

0.90s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:58%
Script Type:Latin
Text Length:85 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism44% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
44%
government public service
40%
healthcare medical
36%
phishing scam
34%
cryptocurrency blockchain
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2109.110.188.204Jakarta, Jakarta, Indonesia
AS199695PT Anym Network Indonesia
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14501F12B81C2A50FE0231070F991E3745158465262AB4F647B9EF67AF28D1AB56622CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hVGD6FJRA3ZsjNQCRtgoLY95Mu56+eMHLFg:b669j2CZLY5Mc6NML2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:790:AQAAAggIEAAAAEAAAAAAAABAAAAAAAAAAQEAAAAAAABFAAAAAAAAAAAQACAAAAAAAAAQAAAAAAIAQAAQECAAAAAAAAAACAAA

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:ffffe7e7ffffffff
Perceptual Hash:e666999926666699
Difference Hash:08000c0c00000000
Wavelet Hash:fcfce4e4041c3c3c
Color Hash:#d28979

Other Hashes

Crop Resistant:08000c0c00000000

Scan History

Scan history not available

Unable to load historical scan data