Security Scan Report: wee-lavender-edobr628iw-cjuuf4jum6.edgeone.app

Submitted: Mar 25, 2026, 1:54:44 AMCompleted: Mar 25, 2026, 1:56:06 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 wee-lavender-edobr628iw-cjuuf4jum6.edgeone.app and was registered NaN years ago.

Submitted URL: https://wee-lavender-edobr628iw-cjuuf4jum6.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: 80%

2
Risk Score

Site shows no malicious activity or phishing cues; appears benign.

Safety Factors
Absence of credential or payment collection fields
No malicious Indicators of Compromise
No JavaScript malware or suspicious behavior
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Decision Support Framework — Carbon Farming

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(36%)

Domain Information

You're looking at domain 'wee-lavender-edobr628iw-cjuuf4jum6.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'wee-lavender-edobr628iw-cjuuf4jum6'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and three consonants. Segmentation 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://wee-lavender-edobr628iw-cjuuf4jum6.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
4 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:1,053 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service36% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
36%

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

T12503535122841B34D0530ACDF367BA33217A90C9561E6C9464845B3ADEC9EEB7EBB3CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ocWJTzIQjrWc3aU+020b1iMiMI4mTPP07a5mBFYFDsfIotWjv5Y:z2jrWc3aB02eil/rxeDmY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38635:MwIkTJ5DBgASCxAQhQxwAuRACyQQUDXKAoyANRwQCCBNIBkSIxCIsCxqVCkRhonIYBgZAoBQBmBUzJo8DAQAZQYiYAoQ4QwI

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:3fdfcbc3c3c3dfdf
Perceptual Hash:bd87920707076f93
Difference Hash:e830121216323210
Wavelet Hash:0edecac2c2c2cade
Color Hash:#b379d2

Other Hashes

Crop Resistant:e830121216323210

Scan History

Scan history not available

Unable to load historical scan data