Security Scan Report: abva-sasisopaoeste-1o83d1bovz.edgeone.app

Submitted: Apr 19, 2026, 11:34:33 AMCompleted: Apr 19, 2026, 11:35:42 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 12 HTTP transactions. The main domain is abva-sasisopaoeste-1o83d1bovz.edgeone.app and was registered NaN years ago.

Submitted URL: https://abva-sasisopaoeste-1o83d1bovz.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: 78%

2
Risk Score

Low risk site; no malicious activity detected despite unknown subdomain age and low ranking.

Risk Factors
Subdomain on a hosting platform with unknown creation date
Low Cisco Umbrella ranking for the domain
Safety Factors
Absence of login, payment, or credential‑collection forms
No malicious Indicators of Compromise detected
No JavaScript malware signatures or IDS alerts
Content appears to be technical documentation rather than phishing
Domain age information unavailable

Details

Page Title

SASISOPA — ABVA Construcción y Mantenimiento

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

documentation technical

(69%)

Domain Information

Domain 'abva-sasisopaoeste-1o83d1bovz.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'abva-sasisopaoeste-1o83d1bovz'. The second-level label 'edgeone' is 7 characters long with four vowels and three consonants. Breaking it apart gives two 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://abva-sasisopaoeste-1o83d1bovz.edgeone.app/

Page Load Overview

1.33s
Total Load Time
12
HTTP Requests
3
Domains
229 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:5,339 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical69% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
69%
government public service
51%
technology software
43%
adult content
30%
education learning
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.127.94United States
443.152.26.58Singapore
4142.251.14.95United StatesUnknown
123--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T169F29EA581EB00227433C1DDD6AB4B2921E2B177F403861676BCB7A84FCED5AF507D68

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:anFI5tbEwV+8ZfA63IH/X0/3gsLnjrlqZEuiE47:UotbEwV+8ZfA63I8/3gsLnjrlqZEuiEQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36242:NqAAZCSBAAAIIjBgO9QfB1AGAAWAQICzACIJgtlEkCoxMYBBZB2pAIMIAgmFpJQgPYQEi8IQAKHFAYxICoAATQxgxHSiPQ5y

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:00000000c3ffffff
Perceptual Hash:aa42c1be3e16963e
Difference Hash:ccd3c7c12f2f2b2b
Wavelet Hash:00000000ffffffff
Color Hash:#bf406c

Scan History

Scan history not available

Unable to load historical scan data