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Security Scan Report: unpleasant-olive-pcj6fa8jsd-k69s5gyyap.edgeone.app

Submitted: Apr 24, 2026, 5:04:36 AMCompleted: Apr 24, 2026, 5:05:44 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 unpleasant-olive-pcj6fa8jsd-k69s5gyyap.edgeone.app and was registered NaN years ago.

Submitted URL: https://unpleasant-olive-pcj6fa8jsd-k69s5gyyap.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: 70%

3
Risk Score

The site shows low risk: no malicious activity, no forms, but subdomain age is unknown and ranking is low.

Risk Factors
Low domain ranking in Cisco Umbrella
Subdomain creation date unknown (potentially brand‑new)
Safety Factors
No credential or payment collection forms
No malicious IoC matches
No JavaScript malware or obfuscation
Content classified as technical documentation
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(71% confidence)

Category

documentation technical

(81%)

Domain Information

The domain name 'unpleasant-olive-pcj6fa8jsd-k69s5gyyap.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'unpleasant-olive-pcj6fa8jsd-k69s5gyyap'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. Splitting it apart reveals 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://unpleasant-olive-pcj6fa8jsd-k69s5gyyap.edgeone.app/

Page Load Overview

0.51s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:71%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:71%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:81 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical81% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
81%
news media journalism
60%
government public service
40%

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

T17522B7C6EBE706C8A81BC4686FFF67253229E013D448C95CB99E0F648F4518475FB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBHdXhMyhM+h1RaXQl:KrzhNK/lMHmGgdkq2p6y6+d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10518:JBUi1nAABQNwtB2UAUWIiBEqCIGECRRBEFgJIhAqijEaAIE4IIQ0wwGASYcGQNaEgTic1wImTEl6DAxAAAoG6CoTOCeGEAEj

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:dcfcfcfcc0808000
Perceptual Hash:de9a386d689882e7
Difference Hash:3030702000000000
Wavelet Hash:dcfcfcfce0e0c080
Color Hash:#6c6ee0

Other Hashes

Crop Resistant:3030702000000000

Scan History

Scan history not available

Unable to load historical scan data