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Security Scan Report: past-amaranth-nbob5pebyl-ir9dpoyiki.edgeone.app

Submitted: Apr 12, 2026, 5:07:08 AMCompleted: Apr 12, 2026, 5:08:16 AMpubliccompleted
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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 past-amaranth-nbob5pebyl-ir9dpoyiki.edgeone.app and was registered NaN years ago.

Submitted URL: https://past-amaranth-nbob5pebyl-ir9dpoyiki.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: 78%

2
Risk Score

Subdomain on edgeone.app with unknown age, no forms or malicious indicators; low risk.

Risk Factors
Subdomain age unknown
Low domain ranking
Safety Factors
No login or payment forms
No credential exfiltration observed
No malicious JavaScript detected
Content classified as technical documentation
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(43% confidence)

Category

documentation technical

(79%)

Domain Information

Within the application-focused generic top-level domain (.app), 'past-amaranth-nbob5pebyl-ir9dpoyiki.edgeone.app' is registered with subdomain 'past-amaranth-nbob5pebyl-ir9dpoyiki'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Splitting it apart reveals 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://past-amaranth-nbob5pebyl-ir9dpoyiki.edgeone.app/

Page Load Overview

0.39s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:43%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:86 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical79% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
79%
healthcare medical
50%
technology software
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17722C8CAEBE706C8A81BC4696FFF5725232DE013D448C95CB99E0F648F4518474EB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBQXhG4hGTh1RaXQl:KrzhNK/lMHmGgdkqVNid

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10615:MUUCVvgIDQMUNJQECUWQgAAiCQWMiwwIFVAJEUAKyDoQAIE8CIg0wyCCiQcHANaguTidTQQuXGLaBQtAAQIGCDoAOTaGIAkD

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:dcfcfcfcc0808000
Perceptual Hash:de9a386968c3c267
Difference Hash:3030606000000000
Wavelet Hash:dcfcfcfce0e0c080
Color Hash:#c5b487

Other Hashes

Crop Resistant:3030606000000000

Scan History

Scan history not available

Unable to load historical scan data