Security Scan Report: bizarre-lavender-tuilwb2ght-sko6i9lh1b.edgeone.app

Submitted: May 1, 2026, 12:18:32 PMCompleted: May 1, 2026, 12:19:40 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is bizarre-lavender-tuilwb2ght-sko6i9lh1b.edgeone.app and was registered NaN years ago.

Submitted URL: https://bizarre-lavender-tuilwb2ght-sko6i9lh1b.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: 78%

2
Risk Score

Low risk site with no malicious indicators; limited evidence of threat.

Risk Factors
Subdomain on hosting platform with unknown age
Low domain ranking (outside top 100K)
Safety Factors
No forms or payment fields present
No malicious Indicators of Compromise
No JavaScript malware YARA matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

news media journalism

(43%)

Domain Information

Within the application-focused generic top-level domain (.app), 'bizarre-lavender-tuilwb2ght-sko6i9lh1b.edgeone.app' is registered; it also runs on subdomain 'bizarre-lavender-tuilwb2ght-sko6i9lh1b'. The second-level label 'edgeone' is 7 characters long with four vowels and three consonants. It segments into 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://bizarre-lavender-tuilwb2ght-sko6i9lh1b.edgeone.app/

Page Load Overview

0.51s
Total Load Time
2
HTTP Requests
1
Domains
7 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:64 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism43% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
43%
government public service
29%
adult content
28%

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

T15802C6CAF7A305C9A82BC0682FFB5714222DE057C448CD5DB99E5F548F4518875EA3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBch1RaXQl:KrzhNK/lMHmGgdkqRd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8732:IgVC13IGBVMQNBUeA0+AxAAiSACEDQQAsFANCAAKiDbQSJtIAMR0w1KgCYcHIdaAgTieVYAmSETaBChBCQImCCoCPCaeAIUB

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:dcfcfce0e0e0c0c0
Perceptual Hash:d89a983c6c6567c3
Difference Hash:3030100000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#87c58a

Other Hashes

Crop Resistant:3030100000000000

Scan History

Scan history not available

Unable to load historical scan data