Security Scan Report: frightened-green-ssl25nbdlv-hbh8be4mxr.edgeone.app

Submitted: Mar 3, 2026, 8:16:38 AMCompleted: Mar 3, 2026, 8:18:13 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is frightened-green-ssl25nbdlv-hbh8be4mxr.edgeone.app and was registered NaN years ago.

Submitted URL: https://frightened-green-ssl25nbdlv-hbh8be4mxr.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: 88%

2
Risk Score

Low risk site; no malicious indicators despite unknown subdomain age.

Risk Factors
Subdomain on a hosting platform with unknown creation date (moderate suspicion)
Safety Factors
No credential or payment forms present
No malicious JavaScript detected
No network IDS alerts
HTTPS connection (secure transport)
Page content appears to be a simple test website
Domain age information unavailable

Details

Page Title

Testwebsite

Scan Type

public

Language

🇿🇦

AF

(50% confidence)

Category

cryptocurrency blockchain

(60%)

Domain Information

The domain name 'frightened-green-ssl25nbdlv-hbh8be4mxr.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'frightened-green-ssl25nbdlv-hbh8be4mxr'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and three consonants. Segmentation suggests 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://frightened-green-ssl25nbdlv-hbh8be4mxr.edgeone.app/

Page Load Overview

0.93s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇿🇦AF
Code: af
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:af
Detection Confidence:50%
Script Type:Unknown
HTML Lang Attribute:nl
Text Length:76 chars
Detector Agreement:100%
Language mismatch: Declared as nl but detected as af

Website Classification

Primary Category

cryptocurrency blockchain60% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
60%
technology software
49%
finance banking
45%
healthcare medical
42%
government public service
39%

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

T10AA1FEAB56A300046947F2A01FFB07183679D407E24FCEAD7BCD6788CF44599AAC7B94

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:b7OWmdEQAPmytikKZ5RvB8Au/E8PHRzMfEqJ3PC:b6zdHAPmytikK5RvB8Au/E8PHRgfEqJK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4661:IABAHBAQCQDRAAB+ADEA7IABNIgAAAIAQAgLAQiCEoJIQAAEcEZIAAAIFADAAEQVAEAECIAjBEAAgAggABBAogEI/AAiANgI

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:00003c3c3c3c0000
Perceptual Hash:df9864638f289a9a
Difference Hash:0004696969691400
Wavelet Hash:f0f0fcfcfcbc8000
Color Hash:#d2902d

Scan History

Scan history not available

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