Security Scan Report: sorry-maroon-herahckpy9-3t8i6cihnb.edgeone.app

Submitted: Feb 27, 2026, 6:04:00 AMCompleted: Feb 27, 2026, 6:05:18 AMpubliccompleted
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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 sorry-maroon-herahckpy9-3t8i6cihnb.edgeone.app and was registered NaN years ago.

Submitted URL: https://sorry-maroon-herahckpy9-3t8i6cihnb.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: 88%

2
Risk Score

Low risk; no malicious activity or credential collection observed.

Risk Factors
Subdomain on free hosting platform (edgeone.app) with unknown creation date
Safety Factors
No forms detected on the page
No malicious Indicators of Compromise matches found
JavaScript obfuscation score low; no malware patterns
No external domains or cross‑origin requests
Page title does not impersonate a known brand
Domain age information unavailable

Details

Page Title

NEONET.ID | SYSTEM ACCESS

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(72%)

Domain Information

Within the application-focused generic top-level domain (.app), 'sorry-maroon-herahckpy9-3t8i6cihnb.edgeone.app' is registered; it also runs on subdomain 'sorry-maroon-herahckpy9-3t8i6cihnb'. The core label 'edgeone' covers 7 characters holding 4 vowels versus three consonants. Word splitting yields 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://sorry-maroon-herahckpy9-3t8i6cihnb.edgeone.app/

Page Load Overview

0.35s
Total Load Time
2
HTTP Requests
1
Domains
2 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:302 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software72% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
47%
cryptocurrency blockchain
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

T1ACF173095AB30506A517927A2FE366096664C00B6B0BCD5C3F4D6348CFDA787D8BB7D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:EVmHSFnmh5yJC3jwybJrlZ9DCZSXhSbBaj:EhF+3JjQK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7845:KageAgWg0KVAMQTwJSAJQAJdBAUCEAwM8YDIJBTBU+BAgJhroACEAwBGSKApgaAVAbkuYYTa1NZDLRARwIkJoGIE4+tgksAJ

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:2321043438000000
Perceptual Hash:c6b73189ce7230cd
Difference Hash:464d1c65619392a6
Wavelet Hash:6727743c3d535252
Color Hash:#c58799

Other Hashes

Crop Resistant:464d1c65619392a6

Scan History

Scan history not available

Unable to load historical scan data