Security Scan Report: little-lavender-bzzilyrqoc-e7ryiz1jfn.edgeone.app

Submitted: Jan 20, 2026, 12:51:20 AMCompleted: Jan 20, 2026, 12:52:32 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is little-lavender-bzzilyrqoc-e7ryiz1jfn.edgeone.app and was registered NaN years ago.

Submitted URL: https://little-lavender-bzzilyrqoc-e7ryiz1jfn.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
Domain age > 365 days
No credential or payment forms
No malicious Indicators of Compromise
Standard hosting environment
No redirects or suspicious URL behavior
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(92%)

Domain Information

The domain name 'little-lavender-bzzilyrqoc-e7ryiz1jfn.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'little-lavender-bzzilyrqoc-e7ryiz1jfn'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus three consonants. Word splitting yields 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://little-lavender-bzzilyrqoc-e7ryiz1jfn.edgeone.app/

Page Load Overview

0.39s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:813 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

technology software92% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
92%
documentation technical
90%
cryptocurrency blockchain
79%
government public service
42%
healthcare medical
32%

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

T1A5332181AFF82FECB01F8545A76D7B3B6A256003A48D019C75DE0EB1AF44989E0BF175

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:wNIq9bccoogUM0tsmi4H73zsrYcH3QDsUqUsUuUKU6U+UOUqnpHbFFLFVNWO8d:wSq9bccoogUM0tsmi4H73zsrYcH3QDsI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52133:cBmAwCEKIEfgDGQgZmGjCCdAiMEkRIZpNQIAAWBqNBIVxCAMj6QYABH4yZalIFKEIDD0FDUWJOAygIFjHEAO4BmAMmTA1h1K

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:1c1c3c1c1c3c3c3c
Perceptual Hash:da7c743838a2c3e3
Difference Hash:3030707131716171
Wavelet Hash:9cbc3c3c1c3c3c3c
Color Hash:#79ccd2

Other Hashes

Crop Resistant:3030707131716171

Scan History

Scan history not available

Unable to load historical scan data