Security Scan Report: lluviasyfreatimetros-sphomjaeqf.edgeone.app

Submitted: Mar 30, 2026, 9:46:05 PMCompleted: Mar 30, 2026, 9:47:26 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 1 HTTP transaction. The main domain is lluviasyfreatimetros-sphomjaeqf.edgeone.app and was registered NaN years ago.

Submitted URL: https://lluviasyfreatimetros-sphomjaeqf.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: 85%

1
Risk Score

No suspicious activity detected; site appears low risk.

Safety Factors
No forms detected (no credential or payment harvesting)
No malicious Indicators of Compromise matches
Low JavaScript obfuscation score (standard minification)
Resources loaded from reputable CDNs (cdnjs.cloudflare.com, fonts.googleapis.com)
Served over HTTPS (inferred from hosting platform)
Domain age information unavailable

Details

Page Title

Los Pingos del Taita — Agro

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

documentation technical

(55%)

Domain Information

The domain 'lluviasyfreatimetros-sphomjaeqf.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'lluviasyfreatimetros-sphomjaeqf'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus three consonants. Word splitting yields two 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://lluviasyfreatimetros-sphomjaeqf.edgeone.app/

Page Load Overview

1.94s
Total Load Time
13
HTTP Requests
6
Domains
429 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:1,626 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical55% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
55%
technology software
50%
government public service
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.18.38.10United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
2142.251.37.3United States
AS15169Google LLC
2104.17.25.14United States
AS13335Cloudflare, Inc.
254.207.158.27São Paulo, São Paulo, Brazil
AS16509Amazon.com, Inc.
2142.250.201.74United States
AS15169Google LLC
136--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CA03F9B1B0E4503394B744EA50B66BED30E09512F8174354ED7E86F587CBCB6A963F0A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:MDKQerpnVrNUaFXG0mvgOFmQwOrKwPHV/00/8VG1uG5BsvybEB1YjyFQtE8e6xXj:MD98rNUaFXG0mvgOFmQpr9PWG1uGMsEo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39127:YbiLSBiELiAiq4QVECm4lQRSYIxgYCJWhREbJCgHBDIABIBJpCIIuVoYAJhARTEcjCgDSDQcSgI6B5kxyV1AJJIFaiVidA8L

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:00ffffffdfdfff81
Perceptual Hash:bc472f182f47386a
Difference Hash:692ac4f0b0b42c33
Wavelet Hash:001e7e7e5e5e7e00
Color Hash:#1f935b

Scan History

Scan history not available

Unable to load historical scan data