Security Scan Report: 613382-dzcmun.cc

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Submitted: Mar 5, 2026, 7:48:48 PMCompleted: Mar 5, 2026, 7:50:34 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 4 domains to perform 64 HTTP transactions. The main domain is 613382-dzcmun.cc and was registered NaN years ago.

Submitted URL: https://613382-dzcmun.cc/

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

AVLove

Scan Type

public

Language

🇨🇳

Chinese

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain '613382-dzcmun.cc' uses the .cc country-code top-level domain without a subdomain. The registrable portion '613382-dzcmun' spans 13 characters with one vowel and five consonants, along with six digits and one hyphen. Breaking it apart gives four words: 613382, dz, cm, un. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://613382-dzcmun.cc/

Page Load Overview

2.36s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:80%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:80%
Script Type:Han
HTML Lang Attribute:zh
Text Length:6 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
252.192.35.27Japan
038.33.15.152Japan
045.153.246.239Tokyo, Tokyo, Japan
AS3258xTom Japan Corporation
23--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T134C3B51590B4A07F13DBC7EC68C8E89B5812F651876EC027D175B20D0B8A953B6BBD3E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:30HWxYYJjoje/amtB/PNh1fdkGad3u3E33TWa1sOWYwHRB+oXUV:30HWx2jd3u3E33TWaJwxB+nV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:127142:gDk0RTgwCJRAqgJCegoDLAAgiBCBFDYCixgAbDiwdIUjkIBkWYlwJRBSAUA2gEwTEklGSk+EEAFzGI90QJQgAFYVBPccBO0I

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:0000181838380000
Perceptual Hash:886d32735d6dc94c
Difference Hash:3355b3b2b2b3cde1
Wavelet Hash:000139393d7d7d7d
Color Hash:#2d6d86

Scan History

Scan history not available

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