Security Scan Report: polinomialakuariumkaca-790r5dsbqc.edgeone.app

Submitted: Feb 14, 2026, 1:34:45 AMCompleted: Feb 14, 2026, 1:36:16 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is polinomialakuariumkaca-790r5dsbqc.edgeone.app and was registered NaN years ago.

Submitted URL: https://polinomialakuariumkaca-790r5dsbqc.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: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age (>2 years)
No malicious Indicators of Compromise
No login or payment forms
No JavaScript malware patterns detected
No external domains or suspicious redirects
Domain age information unavailable

Details

Page Title

polinomialakuariumkaca-790r5dsbqc.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(28%)

Domain Information

The domain 'polinomialakuariumkaca-790r5dsbqc.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'polinomialakuariumkaca-790r5dsbqc'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. Splitting it apart reveals 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://polinomialakuariumkaca-790r5dsbqc.edgeone.app/

Page Load Overview

3.78s
Total Load Time
3
HTTP Requests
2
Domains
15 KB
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:183 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical28% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C3048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:XfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszu2bMy8OldS:ohoC9JSqzzbs6o3Sj3gcrsK2eA4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184616:UhEQKA0kqEiMCwAEYsBAhISbaApwMsMAAjhxUnkEHHU8oE1QUDgDwEPJAQEIJpCIBlEkAgBJjOUgIFUYSBixCAeEiMSAwUoJ

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#653a78

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data