Security Scan Report: ngetest-bos-15hbhy362c.edgeone.app

Submitted: Feb 22, 2026, 11:34:45 PMCompleted: Feb 22, 2026, 11:36:09 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is ngetest-bos-15hbhy362c.edgeone.app and was registered NaN years ago.

Submitted URL: https://ngetest-bos-15hbhy362c.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%

2
Risk Score

Low risk; no active threats detected but domain is new and unreachable.

Risk Factors
New subdomain on a hosting platform with unknown creation date
Low Cisco Umbrella ranking indicating limited reputation
Unreachable page prevents content verification
Safety Factors
No malicious Indicators of Compromise
No JavaScript malware patterns detected
No network IDS alerts
No forms or credential harvesting elements
Generic page title (EdgeOne Pages) with no brand impersonation
Domain age information unavailable

Details

Page Title

ngetest-bos-15hbhy362c.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(37%)

Domain Information

Within the application-focused generic top-level domain (.app), 'ngetest-bos-15hbhy362c.edgeone.app' is registered with subdomain 'ngetest-bos-15hbhy362c'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus three consonants. It segments into 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ngetest-bos-15hbhy362c.edgeone.app/

Page Load Overview

4.53s
Total Load Time
3
HTTP Requests
2
Domains
15 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:183 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical37% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
37%
phishing scam
29%
news media journalism
27%
adult content
26%
technology software
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17B048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:QfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz22bMy8Olda:bhoC9JSqzzbs6o3Sj3gcrsy2eAI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184561:yGZxBIRrkREEgYoEXIi4mSUgHBWCCCQZHVAUgQcJDCBABEAkgR6EP0wYCEglKckQzABMRry3hbDMwlQI0QIjCB4ZAblAUDFL

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc672363
Difference Hash:00180c1400000000
Wavelet Hash:f0d0c0ccf0f0f0f0
Color Hash:#2dd272

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data