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Security Scan Report: regulatory-azure-kgxl5wtygl-ko59hwz3t9.edgeone.app

Submitted: Apr 24, 2026, 2:19:39 PMCompleted: Apr 24, 2026, 2:20:46 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is regulatory-azure-kgxl5wtygl-ko59hwz3t9.edgeone.app and was registered NaN years ago.

Submitted URL: https://regulatory-azure-kgxl5wtygl-ko59hwz3t9.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: 80%

2
Risk Score

The site shows no malicious activity, forms, or IoC matches; despite low ranking and unknown subdomain age, it is assessed as low risk.

Risk Factors
Low Cisco Umbrella ranking (#455,732)
Subdomain age unknown (could be newly created)
Safety Factors
Absence of login, payment, or credential‑harvesting forms
No malicious IoC or YARA matches
No IDS alerts or suspicious network activity
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(36% confidence)

Category

news media journalism

(33%)

Domain Information

Within the application-focused generic top-level domain (.app), 'regulatory-azure-kgxl5wtygl-ko59hwz3t9.edgeone.app' is registered, featuring subdomain 'regulatory-azure-kgxl5wtygl-ko59hwz3t9'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. It segments into 2 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://regulatory-azure-kgxl5wtygl-ko59hwz3t9.edgeone.app/

Page Load Overview

0.52s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:36%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:52 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism33% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
33%
documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AB02B5CAEBA305C9A82BC4682FFB5324222DE057C449CD5DB9AE1F548F4518875EA2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBsh1RaXQl:KrzhNK/lMHmGgdkqBd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8710:JBUC3nIyhQMQNBUeAU2AhAAj3ACEDQQwNFAJAAEDiLLUBKMIAMR9wwKgTYeCINaAgTicVQAnSEB6BAhFYAI2CCoCOCaeAAEB

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a9838686563c7
Difference Hash:3030600000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#4073bf

Other Hashes

Crop Resistant:3030600000000000

Scan History

Scan history not available

Unable to load historical scan data