Security Scan Report: used-lavender-etiewwkjct-7oy4oa9j81.edgeone.app

Submitted: Mar 20, 2026, 6:04:05 AMCompleted: Mar 20, 2026, 6:05:28 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is used-lavender-etiewwkjct-7oy4oa9j81.edgeone.app and was registered NaN years ago.

Submitted URL: https://used-lavender-etiewwkjct-7oy4oa9j81.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 benign.

Safety Factors
Hosted on a known free‑hosting platform (edgeone.app)
Low JavaScript obfuscation score (standard minification)
No cross‑origin credential exfiltration observed
Domain ranking is low but no malicious activity detected
Domain age information unavailable

Details

Page Title

Sorry Srishti ❤️

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(56%)

Domain Information

Domain 'used-lavender-etiewwkjct-7oy4oa9j81.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'used-lavender-etiewwkjct-7oy4oa9j81'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and 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://used-lavender-etiewwkjct-7oy4oa9j81.edgeone.app/

Page Load Overview

0.36s
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:#41862d

Other Hashes

Crop Resistant:ffdff3b3abebf7ff

Scan History

Scan history not available

Unable to load historical scan data