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Security Scan Report: miserable-gray-io3aupizg2-76ibiz2mp8.edgeone.app

Submitted: Mar 21, 2026, 9:40:10 PMCompleted: Mar 21, 2026, 9:41:19 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is miserable-gray-io3aupizg2-76ibiz2mp8.edgeone.app and was registered NaN years ago.

Submitted URL: https://miserable-gray-io3aupizg2-76ibiz2mp8.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: 93%

0
Risk Score

The site shows no malicious behavior or phishing indicators; it appears to be a legitimate marketing page.

Safety Factors
No credential or payment collection elements
No malicious Indicators of Compromise
Hosted on a standard platform (edgeone.app) with no known malicious activity
Domain age information unavailable

Details

Page Title

Digital Growth Proposal — Paramedical College Durgapur

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(72%)

Domain Information

Domain 'miserable-gray-io3aupizg2-76ibiz2mp8.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'miserable-gray-io3aupizg2-76ibiz2mp8'. Count 7 characters in 'edgeone' holding 4 vowels versus three consonants. Word splitting yields 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://miserable-gray-io3aupizg2-76ibiz2mp8.edgeone.app/

Page Load Overview

0.78s
Total Load Time
12
HTTP Requests
3
Domains
265 KB
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:8,900 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network72% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
72%
healthcare medical
70%
technology software
53%
government public service
51%
education learning
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.217.16.195Singapore
AS15169
443.152.26.58Singapore
AS139341ACE
4142.251.140.170SingaporeUnknown
123--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D2D2822292B211766163ADA27B765FAB37A0E513C50B86107EEC43C88FF5DD4CE6394C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Tw8GP9kL7IThB+vcpZuCiOn+OIutHBv7s7j:TwL9Ec98cpZBiOvIutHBvSj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30427:T2AozcxuZikMqQcAIBEA0BQUgZBaYhAjhMBFAKQ0AExogAE0Rg4BAcDsQ4CBxnX7gGABkQAGJyTAQJCJ2Ex7DVIGIHAgAeAo

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:8101e1e1c1f101c1
Perceptual Hash:eaf01f0ff0e0c01f
Difference Hash:0525859513a59101
Wavelet Hash:c705e5e3e3f141c1
Color Hash:#e06c7d

Other Hashes

Crop Resistant:cbcbe0c2e0e0e8c7,0525859513a19103

Scan History

Scan history not available

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