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Security Scan Report: todolistcactusoctopy-9pcslu0oum.edgeone.app

Submitted: Mar 30, 2026, 12:51:16 PMCompleted: Mar 30, 2026, 12:52:51 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is todolistcactusoctopy-9pcslu0oum.edgeone.app and was registered NaN years ago.

Submitted URL: https://todolistcactusoctopy-9pcslu0oum.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; the site appears legitimate.

Safety Factors
Hosted on reputable platform (edgeone.app)
No forms or password fields present
No JavaScript malware patterns detected
External resources loaded only from trusted domains (fonts.googleapis.com, fonts.gstatic.com)
No cross‑origin credential exfiltration observed
Domain age information unavailable

Details

Page Title

Lista zadań

Scan Type

public

Language

🇵🇱

Polish

(57% confidence)

Category

government public service

(42%)

Domain Information

You're looking at domain 'todolistcactusoctopy-9pcslu0oum.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'todolistcactusoctopy-9pcslu0oum'. Count 7 characters in 'edgeone' split between 4 vowels and 3 consonants. Segmentation suggests two 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://todolistcactusoctopy-9pcslu0oum.edgeone.app/

Page Load Overview

0.69s
Total Load Time
10
HTTP Requests
3
Domains
129 KB
Total Size

Language Analysis

Primary Language

🇵🇱Polish
Code: pl
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Language Code:pl
Detection Confidence:57%
Script Type:Latin
HTML Lang Attribute:en
Text Length:61 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as pl

Website Classification

Primary Category

government public service42% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
42%
adult content
40%
healthcare medical
37%
news media journalism
32%
real estate property
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.141.74Singapore
AS15169
343.152.26.58Singapore
AS139341ACE
3142.251.141.99SingaporeUnknown
103--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16011496458F42AA1125295C8B5E2F5497CC8F507CAEABE04785D16E01F83D99CC1F502

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRwpbG5m1EdGBGLU6XiDpyLwVDrLjTDrLcbLDpMh9pc:hR060OeGpycOrPXrQbPay

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:871:BAAAAAAAAAAAAIAAAAIAAAAAAAAAAIAAACAAAAAAAAACgAAAQAAIAACAAAAAAAgAAAACAIIEgAgAAAAAAAAAAAAAAQAEAAAA

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:eff3f3efffffffff
Perceptual Hash:e464669b99999999
Difference Hash:1a25240800000000
Wavelet Hash:0f171f070f0f0f0f
Color Hash:#4a3a78

Other Hashes

Crop Resistant:1a25240800000000

Scan History

Scan history not available

Unable to load historical scan data