Security Scan Report: boundary-diagram-online-rq7kjk0zkq.edgeone.app

Submitted: Mar 9, 2026, 10:08:46 PMCompleted: Mar 9, 2026, 10:10:29 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is boundary-diagram-online-rq7kjk0zkq.edgeone.app and was registered NaN years ago.

Submitted URL: https://boundary-diagram-online-rq7kjk0zkq.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: 92%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
No forms (credential or payment) present
No malicious Indicators of Compromise matches
No JavaScript malware YARA pattern matches
No network IDS alerts
No brand impersonation or phishing language detected
Domain age information unavailable

Details

Page Title

Functional Engineering · Boundary Diagram + P‑Diagram

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(75%)

Domain Information

You're looking at domain 'boundary-diagram-online-rq7kjk0zkq.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'boundary-diagram-online-rq7kjk0zkq'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. Tokenizing the label suggests two 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://boundary-diagram-online-rq7kjk0zkq.edgeone.app/

Page Load Overview

13.18s
Total Load Time
2
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:100%

Website Classification

Primary Category

technology software75% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
75%
documentation technical
52%
adult content
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
1146.75.120.193Singapore
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E063D85A12F7183915A3B0BE2F9B6254B2619003B50ADD583E9CC7954F9BCE0D8B7BCC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:pwZmF8eoLjcnjWMf7cfiYfwcYY5WOT6rKHs63vRSEwiUs0BNmB9v/:NxWjcB46yX0EwfrG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:67298:AByFASgkggBCIEwyZQMIQ4ElgEYAIEWCUwCEAQy4ECbA0NYUQokY0gBPXyslyeGKsFkbUYNrBQAaKkNwQQAJhEGYJsgGAIYK

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:0066ffcfc7efffff
Perceptual Hash:b10b0f3332199fce
Difference Hash:ccc8a09c8c9c948c
Wavelet Hash:007e7e4e4646667e
Color Hash:#d2592d

Other Hashes

Crop Resistant:ccc8a09c8c9c948c

Scan History

Scan history not available

Unable to load historical scan data