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Security Scan Report: institutional-olive-ditu4qtlk2-8mlme60u2q.edgeone.app

Submitted: Mar 6, 2026, 1:00:08 AMCompleted: Mar 6, 2026, 1:01:18 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 institutional-olive-ditu4qtlk2-8mlme60u2q.edgeone.app and was registered NaN years ago.

Submitted URL: https://institutional-olive-ditu4qtlk2-8mlme60u2q.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: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(43% confidence)

Category

government public service

(33%)

Domain Information

The domain name 'institutional-olive-ditu4qtlk2-8mlme60u2q.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'institutional-olive-ditu4qtlk2-8mlme60u2q'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside three consonants. Splitting it apart reveals 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://institutional-olive-ditu4qtlk2-8mlme60u2q.edgeone.app/

Page Load Overview

0.62s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:43%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:51 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

government public service33% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
33%
documentation technical
30%
healthcare medical
29%
news media journalism
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C702D8CAEB9706C9681BC0682FFF5724222DE057C448CD5DB99E1F548F4518475EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBkh1RaXQl:KrzhNK/lMHmGgdkqHd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8703:YgUC1nQCDZMQPJUeAU2ElBCiSACEDQwAMlIJDgAKiDOwAIEcAMR24wqASbcCBNbQgTi9VQAmSERaBAhJABImKToCPWaWACGh

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a98386c6563c3
Difference Hash:3030300000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#79a9d2

Other Hashes

Crop Resistant:3030300000000000

Scan History

Scan history not available

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