Security Scan Report: circular-red-ahovnzzxfd-0sh6j2c4jn.edgeone.app

Submitted: Jan 12, 2026, 4:50:27 AMCompleted: Jan 12, 2026, 4:51:57 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is circular-red-ahovnzzxfd-0sh6j2c4jn.edgeone.app and was registered NaN years ago.

Submitted URL: https://circular-red-ahovnzzxfd-0sh6j2c4jn.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: 90%

0
Risk Score

Legitimate site with no detected threats.

Safety Factors
Well-established domain
Low risk category
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇸🇪

Swedish

(43% confidence)

Category

cryptocurrency blockchain

(62%)

Domain Information

You're looking at domain 'circular-red-ahovnzzxfd-0sh6j2c4jn.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'circular-red-ahovnzzxfd-0sh6j2c4jn'. Count 7 characters in 'edgeone' containing 4 vowels alongside three consonants. Segmentation suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://circular-red-ahovnzzxfd-0sh6j2c4jn.edgeone.app/

Page Load Overview

17.51s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:43%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:606 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as sv

Website Classification

Primary Category

cryptocurrency blockchain62% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
62%
documentation technical
53%
technology software
51%
news media journalism
45%
healthcare medical
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C5D25590EFF42FDC641E85546B7DBB3A66396043A84D42CCB5AE0EB0DF44986E4BB074

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:shNIMi+hsMnXm6COiGKG6MuKau6WW+W6d:wNIqhsMnXm6COiGKG6MuKau6WW+W6d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30836:dCVB0ScADoH0JJ0EIwSyiAIiqAAkACMplMAHAUBtmHQUCZCMhSCSyBRRRSQKJAQYCQpUxHgC4OkaBiJtIJQi6QkCOSQGBFEF

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:9c1c3c3c3c3c1c1c
Perceptual Hash:da7438286c39c7e3
Difference Hash:3030707070713071
Wavelet Hash:dcbc3c3c3c3c1c1c
Color Hash:#2d8659

Other Hashes

Crop Resistant:3030707070713071

Scan History

Scan history not available

Unable to load historical scan data