Security Scan Report: obedient-azure-iuja8dghmx-a82tbl2j0y.edgeone.app

Submitted: Mar 10, 2026, 4:17:09 PMCompleted: Mar 10, 2026, 4:18:44 PMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 7 domains to perform 13 HTTP transactions. The main domain is obedient-azure-iuja8dghmx-a82tbl2j0y.edgeone.app and was registered NaN years ago.

Submitted URL: https://obedient-azure-iuja8dghmx-a82tbl2j0y.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

Site contains no malicious content but is a newly created subdomain on a low‑rank hosting platform; treat as moderate risk.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low domain ranking (455,732) suggests limited trust
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Wizklub | Binary Beasts

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

You're looking at domain 'obedient-azure-iuja8dghmx-a82tbl2j0y.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'obedient-azure-iuja8dghmx-a82tbl2j0y'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and three consonants. Segmentation suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://obedient-azure-iuja8dghmx-a82tbl2j0y.edgeone.app/

Page Load Overview

8.17s
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:840 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
43%
adult content
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1142.251.208.3Singapore
0104.26.3.143Singapore
0151.101.1.229Singapore
043.152.26.58Singapore
0142.250.201.67Singapore
0142.251.36.106Singapore
0104.18.1.22Singapore
17--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17FD2E8553661043F6D5380F6EA92AB8D781AB1C3DE1A9AB9B98D41006FC7EF74CD7340

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:mnatPZhhL7herdw/Jo/VVJJKQchpgv7oW3ym:mnatPPhnhep/VVJJKNhpgv7oW3z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28522:sChcigA2AAQiKgIAgIYRMScDEVeMViKQwgQIiYVpIwgAyInJKEmBiYGgQVQwAgzocCgMUhA4gkBRuRRCLAAKxNQUEmgNo6M6

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:ffe7e7ffffe7e7ff
Perceptual Hash:b326669999cc9933
Difference Hash:324d4d32324c4d30
Wavelet Hash:0f03031bdbdbc3c3
Color Hash:#392d86

Other Hashes

Scan History

Scan history not available

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