Security Scan Report: encouraging-orange-2trpdciocs-uhx3qf9rlv.edgeone.dev

Submitted: Dec 19, 2025, 1:03:36 PMCompleted: Dec 19, 2025, 1:03:40 PMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is encouraging-orange-2trpdciocs-uhx3qf9rlv.edgeone.dev and was registered NaN years ago.

Submitted URL: https://encouraging-orange-2trpdciocs-uhx3qf9rlv.edgeone.dev/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No credential or payment collection fields
No external links or redirects
Content appears to be a simple informational page for Fatima School & College
Domain age information unavailable

Details

Page Title

Fatima School & College – Final Result

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(83%)

Domain Information

You're looking at domain 'encouraging-orange-2trpdciocs-uhx3qf9rlv.edgeone.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'encouraging-orange-2trpdciocs-uhx3qf9rlv'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus three consonants. Breaking it apart gives 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://encouraging-orange-2trpdciocs-uhx3qf9rlv.edgeone.dev/

Page Load Overview

1.36s
Total Load Time
0
HTTP Requests
0
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:105 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network83% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
83%
education learning
28%

Detected Features

No structural features detected

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11A532693C84C5D5132785B7AA02982016A6C42636D6B7F0AF3ACD68C0F3E51FDB7649F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+P6k1irhpHWUk1SGg2LVy9lVsOyq9ZoOy0AAuj1vFohChdRJ+MHA6/Pvn+0eBGjD:k6k1irhpHWUk1SGg2LVy9lVsOyq9ZoOq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:65733:4ICBByFHxiKCRahhnZAABAEtQQAYkRwg1ggB1BBLMESQoklF0LJQQMBSBISzAmjCFVBgJAkjRMgRAQVczsRBBgJQymilAAki

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:e7c3e7ffffffffff
Perceptual Hash:b333339b9988cccc
Difference Hash:684c042000000000
Wavelet Hash:27030f0f0f0f0f0f
Color Hash:#53ac71

Other Hashes

Crop Resistant:684c042000000000

Scan History

Scan history not available

Unable to load historical scan data