ScanMalware.com

Security Scan Report: oral-olive-rewgtk4z-dphzt6c2jbf4.edgeone.app

Submitted: Jun 18, 2026, 5:59:31 AMCompleted: Jun 18, 2026, 6:00:38 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is oral-olive-rewgtk4z-dphzt6c2jbf4.edgeone.app and was registered NaN years ago.

Submitted URL: https://oral-olive-rewgtk4z-dphzt6c2jbf4.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site shows no forms, no malicious indicators, and no brand impersonation; despite unknown subdomain age it is assessed as low risk.

Risk Factors
Subdomain creation date unknown
Safety Factors
No credential or payment collection
No external malicious links
No IDS or network alerts
No JavaScript behavioral threats
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

government public service

(71%)

Domain Information

The domain name 'oral-olive-rewgtk4z-dphzt6c2jbf4.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'oral-olive-rewgtk4z-dphzt6c2jbf4'. The registrable portion 'edgeone' spans 7 characters with four vowels and 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://oral-olive-rewgtk4z-dphzt6c2jbf4.edgeone.app/

Page Load Overview

0.45s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:52 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

government public service71% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
71%
documentation technical
65%
news media journalism
55%
corporate business
50%
social media network
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13602C6CAEB9305C8A82BC0792FFF5324222DE017D449CD5DB99E1F548F4528875EA3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBVh1RaXQl:KrzhNK/lMHmGgdkqsd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8724:IIUC1nICDQMQNL0cIU2QjAMiSACEDYcAMFIJCgAKiDKQAJEIFcR2ywKcCacCINaEgTmcVQgmSEFaBQhFABIGKCpCOSaWABEH

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:de9a9838686563c7
Difference Hash:3030600000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#95bf40

Other Hashes

Crop Resistant:3030600000000000

Scan History

Scan history not available

Unable to load historical scan data