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Security Scan Report: proposed-lavender-stqfreqkqq-xbktmveyxv.edgeone.app

Submitted: Feb 7, 2026, 2:26:35 AMCompleted: Feb 7, 2026, 2:28:03 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is proposed-lavender-stqfreqkqq-xbktmveyxv.edgeone.app and was registered NaN years ago.

Submitted URL: https://proposed-lavender-stqfreqkqq-xbktmveyxv.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
Well‑established domain (>365 days)
Low risk ranking (455,732) but within top 1M
No external links or redirects
No malicious Indicators of Compromise
No suspicious JavaScript or hidden iFrames
Domain age information unavailable

Details

Page Title

proposed-lavender-stqfreqkqq-xbktmveyxv.edgeone.app

Scan Type

public

Language

🇺🇸

English

(40% confidence)

Category

documentation technical

(93%)

Domain Information

The domain name 'proposed-lavender-stqfreqkqq-xbktmveyxv.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'proposed-lavender-stqfreqkqq-xbktmveyxv'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside three consonants. Breaking it apart gives two 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://proposed-lavender-stqfreqkqq-xbktmveyxv.edgeone.app/

Page Load Overview

9.89s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:40%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:40%
Script Type:Latin
HTML Lang Attribute:bn
Text Length:1,125 chars
Detector Agreement:50%
Language mismatch: Declared as bn but detected as en

Website Classification

Primary Category

documentation technical93% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
93%
technology software
87%
government public service
87%
adult content
83%
education learning
82%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T124048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ifQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz+2bMy8Old4:ZhoC9JSqzzbs6o3Sj3gcrsa2eAW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184646:YFxDUAbqCIdQAAlcRM2lQikCGBBZVgA0RGAIxFAfaEcgkKYtgpE0gyEDIlgyohBpHmUAUJAV0AAyRqQI1BEOIAAS0IjKSxVS

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#79d2b5

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data