Security Scan Report: stuck-tan-z1qg53h09m-a9yi48bkch.edgeone.app

Submitted: Mar 17, 2026, 10:22:45 PMCompleted: Mar 17, 2026, 10:24:05 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 stuck-tan-z1qg53h09m-a9yi48bkch.edgeone.app and was registered NaN years ago.

Submitted URL: https://stuck-tan-z1qg53h09m-a9yi48bkch.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 malicious activity detected; the site appears to be a harmless personal page.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware or suspicious behavior
Hosted on a known free‑hosting platform without suspicious activity
Domain age information unavailable

Details

Page Title

Sorry Srishti ❤️

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(56%)

Domain Information

Within the application-focused generic top-level domain (.app), 'stuck-tan-z1qg53h09m-a9yi48bkch.edgeone.app' is registered and includes subdomain 'stuck-tan-z1qg53h09m-a9yi48bkch'. Count 7 characters in 'edgeone' split between 4 vowels and three consonants. Word splitting yields 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://stuck-tan-z1qg53h09m-a9yi48bkch.edgeone.app/

Page Load Overview

0.40s
Total Load Time
2
HTTP Requests
1
Domains
5 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:254 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical56% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
56%
adult content
55%
news media journalism
39%
documentation technical
37%

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

T13F81E98667531824C83B12477CFA9BC93560C61BDD2B964C24EFE80EC282A1B117D77C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TA8Uv0ankUinlvxcVsv+Kw0DhdFs0wV4VWBaGtk5njZ4qxOxihlepUEKO1bgjNzB:TA0xPcife0wV0/h5njtVLnCgpS3BU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3887:AAEAEQCkKFgBAAIEQkAgAFACAAIAAOREEAAgYkAdAAAgBAAQDEIBJAJAQAAIggAUAiQAwACBEIAiAiBAQFEoAgAECFQAQQCh

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:01031f1f3f1f0f1f
Perceptual Hash:885d3366cc997366
Difference Hash:ffdff3b3abebf7ff
Wavelet Hash:01031b1f1f1f1f1f
Color Hash:#9e2dd2

Other Hashes

Crop Resistant:ffdff3b3abebf7ff

Scan History

Scan history not available

Unable to load historical scan data