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Security Scan Report: 464646-bvpulunu1c.edgeone.app

Submitted: Jan 17, 2026, 4:55:55 AMCompleted: Jan 17, 2026, 4:57:03 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 1 HTTP transaction. The main domain is 464646-bvpulunu1c.edgeone.app and was registered NaN years ago.

Submitted URL: https://464646-bvpulunu1c.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate informational site with no security concerns.

Safety Factors
Well‑established domain (>2 years old)
No credential or payment collection fields
Low ranking but not unranked (rank 455,732) does not indicate malicious activity
No external domains or links
Domain age information unavailable

Details

Page Title

Sakamichi Series Member Sorter

Scan Type

public

Language

🇺🇸

English

(25% confidence)

Category

adult content

(55%)

Domain Information

The domain '464646-bvpulunu1c.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain '464646-bvpulunu1c'. Count 7 characters in 'edgeone' with 4 vowels and 3 consonants. Breaking it apart gives two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://464646-bvpulunu1c.edgeone.app/

Page Load Overview

0.69s
Total Load Time
88
HTTP Requests
5
Domains
16.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:25%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:25%
Script Type:Latin
HTML Lang Attribute:ja
Text Length:2,370 chars
Detector Agreement:67%
Language mismatch: Declared as ja but detected as en

Website Classification

Primary Category

adult content55% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
55%
entertainment media
54%
healthcare medical
34%
technology software
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2013.33.187.3New York, New York, United States
AS16509AMAZON-02
1713.32.122.218New York, New York, United States
AS16509AMAZON-02
1743.152.26.58Singapore
AS139341ACE
17104.17.24.14United States
AS13335CLOUDFLARENET
1718.66.122.62United States
AS16509AMAZON-02
885--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12FB3565A24B31136886B4F7DA9AEB60F6231E407CE7A85D53EFC17C01F929ADBC11358

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:a9sfewF5FnFcFHh7Fk1gFeXFEhsQgkYDtfXF/HK847AqiFb3iWVWVVMUtd6z4Y+1:ZzL1KZxqgAXOhfXYDL/pGMT6t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:109351:ElEgxgCwYIAYLoBEeaJekDJGRJMgFkhhIBEQwAQFIE4E+QBAbKOyiHOgigSyldWEoo/hRrWGKiSAQoYBYAMCORxAgTJMnQBN

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:ffe7ffc3c3c3c3c3
Perceptual Hash:b1cfde282489cccd
Difference Hash:0e0c081e96969696
Wavelet Hash:e2e6c2c3c3c3c3c3
Color Hash:#aca653

Other Hashes

Crop Resistant:0e0c081e96969696

Scan History

Scan history not available

Unable to load historical scan data