Security Scan Report: rolling-lime-vga4rjwjxf-ajveetktb1.edgeone.app

Submitted: Mar 12, 2026, 4:00:08 AMCompleted: Mar 12, 2026, 4:01:43 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is rolling-lime-vga4rjwjxf-ajveetktb1.edgeone.app and was registered NaN years ago.

Submitted URL: https://rolling-lime-vga4rjwjxf-ajveetktb1.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: 85%

1
Risk Score

No malicious indicators; empty page on a new subdomain of edgeone.app; low risk.

Safety Factors
Hosted on a known platform (edgeone.app)
No JavaScript malware patterns detected
No cross‑origin credential exfiltration observed
Low Cisco Umbrella ranking but no malicious activity
Domain age information unavailable

Details

Page Title

Prince Albert Security Services - Official Practice Exam

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(72%)

Domain Information

The domain name 'rolling-lime-vga4rjwjxf-ajveetktb1.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'rolling-lime-vga4rjwjxf-ajveetktb1'. Count 7 characters in 'edgeone' holding 4 vowels versus three consonants. It segments into 2 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://rolling-lime-vga4rjwjxf-ajveetktb1.edgeone.app/

Page Load Overview

8.18s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:834 chars
Detector Agreement:67%

Website Classification

Primary Category

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

All Detected Categories

technology software
72%
documentation technical
42%
adult content
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BFA2950BE5A60A3214A361B4239B56467234C5177E49FF503B8C82DC4F8DAEDAA737CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:dIJh/yFn6SYXQr84itx99CDEoEAW4qa2vdEPbMln6zAGG7E210Z07KfWZmEO/mdt:OeFbrK4uKM963ME2+Z0KEgLTgO2q3lK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23243:NIpjlLCREDARgEABA6MYmK0eYQEQEwA4BNCCIQJggT44pAWAKXYlxBExYqHyYIC/JIQ4oIBWCsgQxShhIyFgABiJgAYGLzCd

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:0000ffffffffffff
Perceptual Hash:b15d4c6d1b3031db
Difference Hash:3270109c48961660
Wavelet Hash:0000c7c7c7c3c7ff
Color Hash:#4a40bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data