Security Scan Report: reliable-teal-qlc8omkqun-0bso5yusha.edgeone.app

Submitted: Apr 30, 2026, 8:42:28 PMCompleted: Apr 30, 2026, 8:43:48 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is reliable-teal-qlc8omkqun-0bso5yusha.edgeone.app and was registered NaN years ago.

Submitted URL: https://reliable-teal-qlc8omkqun-0bso5yusha.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: 72%

2
Risk Score

Low risk site with no malicious activity detected; safe for normal browsing.

Risk Factors
Subdomain age unknown (could be newly created)
Low domain ranking in reputation database
Safety Factors
No login, payment, or credential collection forms
No malicious indicators (IoCs, YARA, IDS alerts)
Content classified as technical documentation
Domain age information unavailable

Details

Page Title

ZEP SIAPI — SX2 Troubleshooting Tool

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(89%)

Domain Information

The domain name 'reliable-teal-qlc8omkqun-0bso5yusha.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'reliable-teal-qlc8omkqun-0bso5yusha'. Count 7 characters in 'edgeone' containing four vowels alongside 3 consonants. Word splitting yields 2 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://reliable-teal-qlc8omkqun-0bso5yusha.edgeone.app/

Page Load Overview

0.61s
Total Load Time
2
HTTP Requests
1
Domains
48 KB
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:1,603 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical89% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
89%
technology software
80%
government public service
77%
healthcare medical
73%
adult content
59%

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

T19DA4B72A230C433F07A64228619EDBC9FB1DA03A9A5425A5C1CC815D63D9C5CDFBFBD9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Aqr9zEfdJhuctqxQBQ2zSLDYqS8Q06gT8wouDY2lCZOR2PA3L9LAT0iYXwQcw0nZ:zzE1IQBQbp52gIUvH+fBH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:463692:CzCIUNlwAgB3Iha1wOEhEUkggQY6JetQmfhIDw3MAEASEYEFGkEcRwDtXhgAMIpgUwwoEPjykAZhICCjYwAIZkQo7oBBSSKC

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:000000e7ffffffff
Perceptual Hash:cc4c64b3b33359cc
Difference Hash:54b2b24c2a0e0400
Wavelet Hash:00000000ffffffff
Color Hash:#982dd2

Scan History

Scan history not available

Unable to load historical scan data