Security Scan Report: existing-olive-pdxcjfqswm-8z17f5n66w.edgeone.app

Submitted: Mar 29, 2026, 10:23:58 PMCompleted: Mar 29, 2026, 10:25:16 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is existing-olive-pdxcjfqswm-8z17f5n66w.edgeone.app and was registered NaN years ago.

Submitted URL: https://existing-olive-pdxcjfqswm-8z17f5n66w.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 suspicious activity detected; site appears to be legitimate educational content.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Hosted on a standard free‑hosting subdomain (edgeone.app) without suspicious scripts
Educational content with clear attribution (email address of a university member)
Domain age information unavailable

Details

Page Title

Laboratorio — Mapas & Tablas Hash | Informática Aplicada 2026

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

documentation technical

(59%)

Domain Information

Domain 'existing-olive-pdxcjfqswm-8z17f5n66w.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'existing-olive-pdxcjfqswm-8z17f5n66w'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 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://existing-olive-pdxcjfqswm-8z17f5n66w.edgeone.app/

Page Load Overview

0.61s
Total Load Time
7
HTTP Requests
3
Domains
142 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es
Text Length:669 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical59% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
59%
education learning
45%
technology software
38%
adult content
37%
government public service
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
2142.251.141.138United States
AS15169Google LLC
2142.250.154.94United States
AS15169Google LLC
73--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E363097191D204317063DD9B667F4E5A3128A413EC4BB284BA4DA1E84FFE99DCD32B78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:p/p7h6OrWW8AHTLFUR9VwbrQKdqGb8ARC1iPvMMktWW7/uUzdSJ+b9fQ5Koi+Npn:pp0aGqbrQjGwSCQPUMkBaWdSJ+m5T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:70221:hQABeIUmSLT0MiKBhBgBoThpEIAIApSAowiAGINKKIABGIEMjDBCQwIJMmFJC4SMCh0jBIgYAANBAnAKbZh4CQFAQggQLEJJ

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:003c003c3c3c0000
Perceptual Hash:ce8c24dadb31319b
Difference Hash:3062746969690000
Wavelet Hash:183f3ffcfcfc0000
Color Hash:#a653ac

Other Hashes

Scan History

Scan history not available

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