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Security Scan Report: a41gettingstarted-u48i0v2r0b.edgeone.app

Submitted: Feb 21, 2026, 7:56:53 PMCompleted: Feb 21, 2026, 7:58:01 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 a41gettingstarted-u48i0v2r0b.edgeone.app and was registered NaN years ago.

Submitted URL: https://a41gettingstarted-u48i0v2r0b.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Site shows no malicious activity but is a newly created subdomain on a hosting platform; proceed cautiously.

Risk Factors
New or unknown‑age subdomain on a free hosting platform (moderate suspicion)
Domain age unknown / potentially newly registered
Safety Factors
No malicious Indicators of Compromise
No credential or payment collection forms
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

a41gettingstarted-u48i0v2r0b.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(48%)

Domain Information

You're looking at domain 'a41gettingstarted-u48i0v2r0b.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'a41gettingstarted-u48i0v2r0b'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three consonants. Splitting it apart reveals 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://a41gettingstarted-u48i0v2r0b.edgeone.app/

Page Load Overview

0.95s
Total Load Time
9
HTTP Requests
3
Domains
511 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:4,176 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network48% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
48%
entertainment media
31%
documentation technical
26%
technology software
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
943.152.26.58Singapore
AS139341ACE
91--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T175048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:7fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszE2bMy8Oldq:khoC9JSqzzbs6o3Sj3gcrsA2eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184591:AaCRwMNSZGAQJnEYJAiBECKVsYAEGBYESDCQBxLAnimlxPYMAooECobfwUAKgyUxBSBFSR8AFgpAA4VFrQBQKEzSgMhAAgAA

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:b131cccccc673363
Difference Hash:00180c1400000000
Wavelet Hash:f0d0c0ccf0f0f0f0
Color Hash:#87c5bd

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data