Security Scan Report: interested-silver-qlrla9t8sm-8amem4uiml.edgeone.app

Submitted: Apr 12, 2026, 4:25:55 PMCompleted: Apr 12, 2026, 4:27:05 PMpubliccompleted
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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 interested-silver-qlrla9t8sm-8amem4uiml.edgeone.app and was registered NaN years ago.

Submitted URL: https://interested-silver-qlrla9t8sm-8amem4uiml.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: 60%

2
Risk Score

Low risk site with no forms or malicious activity; unknown subdomain age but no indicators of compromise.

Risk Factors
Unknown subdomain age
Low domain ranking in Cisco Umbrella
Safety Factors
No forms or payment fields present
No credential exfiltration observed
No JavaScript obfuscation or malicious behavior
No network IDS alerts
No Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

8Y MULTI INFORMAÇÕES - Inteligência Bot 2026

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

finance banking

(78%)

Domain Information

Domain 'interested-silver-qlrla9t8sm-8amem4uiml.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'interested-silver-qlrla9t8sm-8amem4uiml'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. Word splitting yields 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://interested-silver-qlrla9t8sm-8amem4uiml.edgeone.app/

Page Load Overview

0.72s
Total Load Time
2
HTTP Requests
1
Domains
8 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-br
Text Length:749 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking78% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
78%
technology software
74%
government public service
53%
cryptocurrency blockchain
49%
adult content
47%

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

T1A042D92632E33031625390E87B93E3557930E117D54A8BA4BEAC16D09F8DEB944FF68D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:8y3/1pog912ptFG8GRTXioDIdNFnAC9JKBzBpt+nxDEppHijUIYUiNpg5xbt5yS5:MZUCdnKBptAxATHijU1Uic5/gSwe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12536:QQzUhYAZlwEiYTlKEAaZAIBbUN0n7YEJhCBoRaV0Asgh5owT0KYyAMFAoBIP5AxqQiIykERWJ4AcoAoJMyoHRIKwlGAOE0UA

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:1018181818180000
Perceptual Hash:cccc66dc59331999
Difference Hash:32b2b2b2b2b20c30
Wavelet Hash:183c3c3c3c3c0000
Color Hash:#d28179

Scan History

Scan history not available

Unable to load historical scan data