Security Scan Report: excess-azure-jg60zyodfc-y6m20nnv1s.edgeone.app

Submitted: Mar 10, 2026, 9:00:45 AMCompleted: Mar 10, 2026, 9:02:19 AMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is excess-azure-jg60zyodfc-y6m20nnv1s.edgeone.app and was registered NaN years ago.

Submitted URL: https://excess-azure-jg60zyodfc-y6m20nnv1s.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 malicious activity detected; site appears safe.

Safety Factors
Hosted on a reputable hosting platform (edgeone.app)
No forms or credential collection present
No JavaScript malware patterns detected
No network IDS alerts detected
No malicious Indicators of Compromise matches
Domain age information unavailable

Details

Page Title

Luiz Eduardo Tech | Catálogo 2026

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(72%)

Domain Information

Within the application-focused generic top-level domain (.app), 'excess-azure-jg60zyodfc-y6m20nnv1s.edgeone.app' is registered with subdomain 'excess-azure-jg60zyodfc-y6m20nnv1s'. Count 7 characters in 'edgeone' containing four vowels alongside three consonants. Word splitting yields two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://excess-azure-jg60zyodfc-y6m20nnv1s.edgeone.app/

Page Load Overview

8.17s
Total Load Time
2
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:834 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software72% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
45%
adult content
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1146.75.121.16Singapore
143.152.26.58Singapore
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14E714E8F9EF31066B407A5742FE3934A355880079A8ACE643FDC6294DF46ED449B3B8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:cAXIg+gKc1BqriFxATJ7BxC0npxgKzXbGNJwuUweHpWwzTSyx:cuTKc1YriFKJDvXU+ureEGSyx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3781:AgnIAAIAwAAgAGggQBwCgICJIAAgCAHGAAJxCBQICAiEAYAEQGSAihEAQAJQlQggAAAAAUACCBQQkAAYAAAAAADQAKAYBAAB

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:1818706020000000
Perceptual Hash:c3c73c3cc1c3c71c
Difference Hash:3230c8c840204000
Wavelet Hash:dffff0f070300000
Color Hash:#c5b587

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data