Security Scan Report: vasukigocalendar-p07pnghnai.edgeone.app

Submitted: Apr 30, 2026, 7:50:49 PMCompleted: Apr 30, 2026, 7:52:11 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vasukigocalendar-p07pnghnai.edgeone.app and was registered NaN years ago.

Submitted URL: https://vasukigocalendar-p07pnghnai.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: 75%

2
Risk Score

The site shows low risk due to lack of malicious activity, but unknown subdomain age and low reputation suggest cautious use.

Risk Factors
Subdomain age unknown (potentially newly created)
Low Cisco Umbrella ranking
Adult content classification probability 34%
Safety Factors
No forms or credential collection
No malicious script detections
No external malicious links or IoC matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

Go Calendar

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(34%)

Domain Information

The domain name 'vasukigocalendar-p07pnghnai.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'vasukigocalendar-p07pnghnai'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. Tokenizing the label suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vasukigocalendar-p07pnghnai.edgeone.app/

Page Load Overview

0.60s
Total Load Time
2
HTTP Requests
1
Domains
8 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:726 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content34% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15CA2431010B12632419B46DA6A774B5B36B0E307DA438349BDACE7D45FCFD99CEAB1C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:2eGCkNzNfwN0rR0M8a6i0z2BivCTy9d/f5fCCpBc0LJf6IRxgxQsvphGxq044kHK:2ppK5aOfEphGoVPcXALSM7Op

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23142:IiPHAJA13GZkBoASUNBSoSECFV1UAeIYARDM8BAQA0grACHKiZAHAKCRuEhhqVgQSFQGJByAM0RGhwFi6ZjJSAQEIKKhhUAD

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:1818181818181810
Perceptual Hash:cc336499669b6699
Difference Hash:3232323232323234
Wavelet Hash:1c1c1c1c3c3c3c34
Color Hash:#8dc587

Other Hashes

Crop Resistant:3232323232323234

Scan History

Scan history not available

Unable to load historical scan data