Security Scan Report: lovebangju.org

Submitted: Dec 16, 2025, 6:41:16 AMCompleted: Dec 16, 2025, 6:42:08 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is lovebangju.org and was registered NaN years ago.

Submitted URL: http://lovebangju.org/

AI Security Verdict

High Risk

Confidence: 80%

6
Risk Score

High risk due to circular redirect and newly registered, unranked domain.

Risk Factors
Circular redirect
Brand new domain (<7 days old)
Unranked domain with no reputation
Domain age information unavailable

Details

Page Title

Page not found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

You're looking at domain 'lovebangju.org' on the non-profit oriented generic top-level domain (.org) and has no subdomain. Its registrable label 'lovebangju' stretches across 10 characters containing four vowels alongside 6 consonants. Segmentation suggests 3 words: love, bang, ju. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://lovebangju.org/

Page Load Overview

8.15s
Total Load Time
5
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 software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
64%
adult content
59%
government public service
30%
phishing scam
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5207.90.205.120United States
AS62164Heymman Servers Corporation
51--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D51150CB09B61601F6C180546FB733822E98A52B810AC660F10C70A8DFC9F3E86E37DD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxC6Qclfhtl0evXSJ+kJAxmkNjkYkRgHe8dLN3DHgXocB14zSvudJBr4olf4x7RL:k0spDNMgYgFNMNBqzSv3olfALs1Bz2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:969:AAAAAAAAAAggAAAKAACIAAAAAAAAAAAAAAEAEgAAAAAAAAAACQAAAAAAAACAAAAAAEAEAACBAAIAAAAAAAAQQAAAEAAAAEEA

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:ffe7e7ffffffffff
Perceptual Hash:e666669999999926
Difference Hash:104d4c1000000000
Wavelet Hash:0f0703030f0f0f0f
Color Hash:#7c79d2

Other Hashes

Crop Resistant:104d4c1000000000

Scan History

Scan history not available

Unable to load historical scan data