Security Scan Report: strange-amber-lcdvlb96ue-dv0s5fniyj.edgeone.app

Submitted: Apr 7, 2026, 3:54:05 PMCompleted: Apr 7, 2026, 3:55:12 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 strange-amber-lcdvlb96ue-dv0s5fniyj.edgeone.app and was registered NaN years ago.

Submitted URL: https://strange-amber-lcdvlb96ue-dv0s5fniyj.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: 92%

2
Risk Score

No malicious activity detected; low risk despite new subdomain.

Risk Factors
Subdomain on hosting platform with unknown creation date (moderate suspicion)
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Low JS obfuscation (standard minification)
No network IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(64%)

Domain Information

The domain 'strange-amber-lcdvlb96ue-dv0s5fniyj.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'strange-amber-lcdvlb96ue-dv0s5fniyj'. Count 7 characters in 'edgeone' split between 4 vowels and three consonants. It segments into two 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://strange-amber-lcdvlb96ue-dv0s5fniyj.edgeone.app/

Page Load Overview

0.64s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:1,249 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical64% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
64%
cryptocurrency blockchain
48%
technology software
43%
news media journalism
29%
finance banking
25%

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

T11BF28484DFF82BDCA41A85059B6D7B3F6E206103A48D459C75AE0EB0DF84D89F8F7468

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:shNIMi+MNjMNjHsj1sjrmjVgjg7jxOjSJjyTfjAljSzjMNjPCjOTjeTjURju3jSO:wNIqMNjMNjHsj1sjrmjVgjg7jxOjSJji

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34582:CAbQ3AEYHIUkkBgSqAeiKrACKYRuhQQldBgJVARLhGhOBYBQCOykQjHYAYiSAlaEmhYRBAUkBBQMoK8BNDgIYSARJDAFRVxi

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:9c9c1c1c1c1c1c1c
Perceptual Hash:da7c6c28387163e3
Difference Hash:3030783839797978
Wavelet Hash:dcfcbc3c1c1c1c1c
Color Hash:#d27979

Other Hashes

Crop Resistant:3030783839797978

Scan History

Scan history not available

Unable to load historical scan data