Security Scan Report: rolling-olive-jhzh4s3pdu-10xydqjcm1.edgeone.app

Submitted: Feb 15, 2026, 5:02:08 AMCompleted: Feb 15, 2026, 5:03:20 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is rolling-olive-jhzh4s3pdu-10xydqjcm1.edgeone.app and was registered NaN years ago.

Submitted URL: https://rolling-olive-jhzh4s3pdu-10xydqjcm1.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: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
No login or payment forms
No external domains or links
No malicious Indicators of Compromise
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

rolling-olive-jhzh4s3pdu-10xydqjcm1.edgeone.app

Scan Type

public

Language

🇫🇷

French

(36% confidence)

Category

healthcare medical

(52%)

Domain Information

Domain 'rolling-olive-jhzh4s3pdu-10xydqjcm1.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'rolling-olive-jhzh4s3pdu-10xydqjcm1'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 consonants. Segmentation suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rolling-olive-jhzh4s3pdu-10xydqjcm1.edgeone.app/

Page Load Overview

2.88s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:36%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:52 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

healthcare medical52% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
52%
education learning
48%
news media journalism
45%
documentation technical
41%
government public service
35%

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

T15A048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ZfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszM2bMy8Olde:OhoC9JSqzzbs6o3Sj3gcrs42eAE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184626:6YUYO9GaAFECLQRFKdUls0gIxxICiBAwDWSukJGQyqY2AzGHqIFCxZDUqgTgAlCAAhJgASYkQsELAXaiJQCkCFoAymOGSmaZ

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:fcdcc0c40f0f0f0f
Color Hash:#9b40bf

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data