Security Scan Report: skylarweb-ssmgxlmb1n.edgeone.app

Submitted: Mar 3, 2026, 4:36:04 PMCompleted: Mar 3, 2026, 4:37:17 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is skylarweb-ssmgxlmb1n.edgeone.app and was registered NaN years ago.

Submitted URL: https://skylarweb-ssmgxlmb1n.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

documentation technical

(83%)

Domain Information

Within the application-focused generic top-level domain (.app), 'skylarweb-ssmgxlmb1n.edgeone.app' is registered with subdomain 'skylarweb-ssmgxlmb1n'. The core label 'edgeone' covers 7 characters split between 4 vowels and three consonants. Breaking it apart gives two 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://skylarweb-ssmgxlmb1n.edgeone.app/

Page Load Overview

0.35s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:116 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical83% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
83%
technology software
68%
government public service
42%
news media journalism
35%
adult content
30%

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

T1446294C5EFE61ACCA41FC4585FBE673A2629A003D88DC58CB5AE0E709F45584B4FB1B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB5iRhehZhfhjhNhLhXh1RaXQl:KrzhNK/lMHmGgdkqIUEbpVzBtd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14744:KAQSVXYgB4fQvBwGAUGAqQAyCIAMCQ1AFAAJABBKnSEUAaEalIB0gwAQHSVEQMeggSi0RSw1ZEVYJArOQAYuoCsJPiaCAEMB

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:dcfcbcbc3c3c0000
Perceptual Hash:da98699a7861c765
Difference Hash:3030707070600000
Wavelet Hash:dcfcfcfcbc3c0000
Color Hash:#9653ac

Other Hashes

Crop Resistant:3030707070600000

Scan History

Scan history not available

Unable to load historical scan data