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Security Scan Report: marxist-blush-l6kjqzkq4z-vbz38ydnvq.edgeone.app

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Submitted: May 9, 2026, 5:24:20 PMCompleted: May 9, 2026, 5:25:54 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 6 HTTP transactions. The main domain is marxist-blush-l6kjqzkq4z-vbz38ydnvq.edgeone.app and was registered NaN years ago.

Submitted URL: https://marxist-blush-l6kjqzkq4z-vbz38ydnvq.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 low risk: no malicious content or forms, but the subdomain is brand‑new and has a low reputation ranking.

Risk Factors
Low domain ranking in Cisco Umbrella
Subdomain age unknown (could be newly created)
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware signatures
Hosted on a standard hosting platform (edgeone.app)
Domain age information unavailable

Details

Page Title

GAPI+ | Acesso Suspenso

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(48%)

Domain Information

You're looking at domain 'marxist-blush-l6kjqzkq4z-vbz38ydnvq.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'marxist-blush-l6kjqzkq4z-vbz38ydnvq'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Segmentation suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://marxist-blush-l6kjqzkq4z-vbz38ydnvq.edgeone.app/

Page Load Overview

0.80s
Total Load Time
6
HTTP Requests
3
Domains
114 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:267 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service48% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
48%
technology software
40%
adult content
40%
healthcare medical
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
274.125.29.95United States
AS15169Google LLC
2142.251.20.94United States
AS15169Google LLC
63--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B671ED9B66A30042781394A43FE6675B3795A003D00BCE643FED6348CF89891A9A2B6C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hLCrVH7boMUUvF3RqYXtNIzErck1+N0Oaz7JKgqXRI8JOkgvPOrfFfR7m6jnZ7Af:E6U9zYKz1HcgYLFfUS7P2e64++DNN978

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3705:gAhQggAQQABCCUgAAECABACCAAYgAAgiiAAYAigCASAUEElghBQMKACAAACAAEIQAkAAEsjEQQAQBYSAIKAExBIAAACAAAEQ

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:0101191901191101
Perceptual Hash:88dd237723dc8876
Difference Hash:0131313131313101
Wavelet Hash:0119191919191901
Color Hash:#bfbd40

Other Hashes

Crop Resistant:0131313131313101

Scan History

Scan history not available

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