Security Scan Report: akagi-3rw5xtgk7e.edgeone.app

Submitted: Dec 19, 2025, 5:32:20 PMCompleted: Dec 19, 2025, 5:32:22 PMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is akagi-3rw5xtgk7e.edgeone.app and was registered NaN years ago.

Submitted URL: https://akagi-3rw5xtgk7e.edgeone.app/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Established domain (>2 years)
No credential or payment collection fields
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

关于 | 赤城的部落格

Scan Type

public

Language

🇸🇪

Swedish

(26% confidence)

Category

entertainment media

(64%)

Domain Information

Domain 'akagi-3rw5xtgk7e.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'akagi-3rw5xtgk7e'. The registrable portion 'edgeone' spans 7 characters split between four vowels and three consonants. Tokenizing the label suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://akagi-3rw5xtgk7e.edgeone.app/

Page Load Overview

1.09s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:26%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:26%
Script Type:Latin
HTML Lang Attribute:zh-Hans
Text Length:767 chars
Detector Agreement:67%
Language mismatch: Declared as zh but detected as sv

Website Classification

Primary Category

entertainment media64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
64%
blog personal website
45%
technology software
44%
education learning
42%
healthcare medical
41%

Detected Features

No structural features detected

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T156828473920465BB434307CCE966736CF187118ECA58A414F3E603AA6A56EF7D833D6A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:tPyJY0+F0zX4NdCXjgSg6WW1H6Wu0oarHX/8T8edvPD5L:ByJ/+yzX2CXjgSHVkKK8edvPD5L

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18938:ByQk1wSCAASwEBSqzxYsIjESSSQQDEDWljAEJQE8s6YgruUAFBhtFBBiifFS5ySoUx8gIRaAEAtKAK4ZBAMIQSEoZBUnWMVi

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:3c3e1e7e1f1f1f3f
Perceptual Hash:9555430ac3431fbf
Difference Hash:c06070d07070f060
Wavelet Hash:3c1e1e001f1f1f3e
Color Hash:#c6d279

Other Hashes

Crop Resistant:c06070d07070f060

Scan History

Scan history not available

Unable to load historical scan data