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LIMITED DATA

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Security Scan Report: accjournal.org

Submitted: May 23, 2026, 4:24:35 PMCompleted: May 23, 2026, 4:26:06 PMpubliccompleted
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Summary

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

Submitted URL: https://accjournal.org/journal/view.php?number=48

AI Security Verdict

Safe Website

Confidence: 82%

0
Risk Score

No malicious activity detected; site appears legitimate despite being unranked.

Safety Factors
Old, well‑established domain
Self‑branding only, no impersonation
No malicious scripts or eval‑related exfiltration
Domain age information unavailable

Details

Page Title

accjournal.org

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

The domain name 'accjournal.org' uses the non-profit oriented generic top-level domain (.org) with no subdomain. Count 10 characters in 'accjournal' with four vowels and 6 consonants. Word splitting yields two words: acc, journal. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://accjournal.org/journal/view.php?number=48

Page Load Overview

8.11s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:738 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
64%
adult content
54%
government public service
35%
news media journalism
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1121.254.129.109South Korea
AS3786LG DACOM Corporation
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C7048F77329A063986558498F45B83099F20B143F506C8BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsP+2bMy8Old5:6hoC9JSqzzbs6okSjggcps22eAr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187933:BEAQVgAQDACViwE5eQAkh4SCIQJyYIhAgIAFwOuEYpBilhBxrwKDjOGiE7NjAhpKAmyIxo0kpAiAYaQCIRoAqhcDglKQygZB

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:fcdcc4c4c0f0f0f0
Color Hash:#80bf40

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data