Security Scan Report: cautious-teal-rswpowqmtu-o0ands4bi3.edgeone.app

Submitted: Mar 3, 2026, 9:11:46 AMCompleted: Mar 3, 2026, 9:13:18 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is cautious-teal-rswpowqmtu-o0ands4bi3.edgeone.app and was registered NaN years ago.

Submitted URL: https://cautious-teal-rswpowqmtu-o0ands4bi3.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: 80%

1
Risk Score

Site appears legitimate with no malicious activity; safe to interact.

Safety Factors
No password or payment fields present
No malicious Indicators of Compromise
No JavaScript malware detected
Email‑only form typical for admissions/contact
Hosting platform subdomain without any malicious activity
Domain age information unavailable

Details

Page Title

Aditya Degree College

Scan Type

public

Language

🇺🇸

English

(46% confidence)

Category

education learning

(71%)

Domain Information

Within the application-focused generic top-level domain (.app), 'cautious-teal-rswpowqmtu-o0ands4bi3.edgeone.app' is registered, featuring subdomain 'cautious-teal-rswpowqmtu-o0ands4bi3'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside three consonants. Word splitting yields 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://cautious-teal-rswpowqmtu-o0ands4bi3.edgeone.app/

Page Load Overview

0.35s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:46%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:46%
Script Type:Latin
Text Length:489 chars
Detector Agreement:67%

Website Classification

Primary Category

education learning71% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
71%
finance banking
60%
documentation technical
46%
technology software
39%
adult content
28%

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

T13F61847E86D308C7B5C7B0B0BF719B4923558143A80B82D4B6F9B1E9CFC0496D562E4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:ha6oF8gVryISnrhkUSTYeVdvMgusd77YFUHfdnKr/MS0FSYj5rdGYiiKCVTf/y0H:wgVkUvqn4FONcM3PdrVZ4NoyfG62FrD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3222:mFNAAEAgAYAAEACAkEgDABEACIAEQAQQURIEAAAAwAAIJCA4gQAFIKAAiCAREAAAAEVAAAAAGACngACAQABgASAAAEGSJoAi

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:8a250c2a0c3f5ffd
Difference Hash:f3cf0c8c89cbeba3
Wavelet Hash:0000ffffffe70018
Color Hash:#4044bf

Other Hashes

Scan History

Scan history not available

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