Security Scan Report: desperate-amber-dlf0p78ssi-e1zhm41icn.edgeone.app

Submitted: Mar 10, 2026, 6:38:34 AMCompleted: Mar 10, 2026, 6:40:10 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 5 HTTP transactions. The main domain is desperate-amber-dlf0p78ssi-e1zhm41icn.edgeone.app and was registered NaN years ago.

Submitted URL: https://desperate-amber-dlf0p78ssi-e1zhm41icn.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: 92%

0
Risk Score

No security threats detected; site appears benign.

Safety Factors
No credential or payment forms present
No JavaScript malware patterns detected
No network IDS alerts
Unreachable page means no active script execution
Generic subdomain title matches the domain
Domain age information unavailable

Details

Page Title

Luiz Eduardo Tech | Direto Shopee

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(70%)

Domain Information

Within the application-focused generic top-level domain (.app), 'desperate-amber-dlf0p78ssi-e1zhm41icn.edgeone.app' is registered with subdomain 'desperate-amber-dlf0p78ssi-e1zhm41icn'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside 3 consonants. Segmentation suggests two 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://desperate-amber-dlf0p78ssi-e1zhm41icn.edgeone.app/

Page Load Overview

8.18s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:843 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software70% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
70%
documentation technical
41%
adult content
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
118.245.35.9Singapore
043.152.26.58Singapore
12--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B53185578AF6A0232012C29079366F5DA9C6E86BD95F9A907DAC14C0DFCE9D18E63808

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hLlPRE73ZXFJg/SLNtlDnOM4WcSYO9GVLKFg7ckY2xJfjVDrjB1pOK1jBXJOK1jS:aT7J1xDnfirLKINJrpB1LJBXrJBgnZf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1869:AQgAQCQAAAAIAAACBBEAAQAAQAAgJQIAAAIAgAAQAAAAAAggAARQAACIAEAAAIAAIAIEEAKCAAIQAIBIAAEAEAAABIgCQAIA

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:df78786060000000
Perceptual Hash:c3c13c3c38c3c7c7
Difference Hash:32d0d2d0c0284000
Wavelet Hash:fffff8f878200000
Color Hash:#adc587

Other Hashes

Scan History

Scan history not available

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