Security Scan Report: concerned-plum-vb1rnc37h1-6w7pcb99gl.edgeone.app

Submitted: Mar 2, 2026, 8:19:28 AMCompleted: Mar 2, 2026, 8:20:41 AMpubliccompleted
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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 concerned-plum-vb1rnc37h1-6w7pcb99gl.edgeone.app and was registered NaN years ago.

Submitted URL: https://concerned-plum-vb1rnc37h1-6w7pcb99gl.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: 92%

2
Risk Score

Low risk; no malicious activity detected.

Risk Factors
Subdomain on hosting platform with unknown creation date
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware YARA matches
No network IDS alerts
No brand impersonation or phishing content
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

cryptocurrency blockchain

(51%)

Domain Information

Within the application-focused generic top-level domain (.app), 'concerned-plum-vb1rnc37h1-6w7pcb99gl.edgeone.app' is registered; it also runs on subdomain 'concerned-plum-vb1rnc37h1-6w7pcb99gl'. The registrable portion 'edgeone' spans 7 characters split between four vowels and three consonants. It segments into 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://concerned-plum-vb1rnc37h1-6w7pcb99gl.edgeone.app/

Page Load Overview

0.33s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:192 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

cryptocurrency blockchain51% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
51%
healthcare medical
45%
news media journalism
37%
adult content
28%
technology software
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

T17842B7C5EFE20BDDB81BC0586FBE6B292628A047D44CC58CB59E0F648F44585B4EB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBLLFha5ThaUzUdhaT9haYgh1RaXQl:KrzhNK/lMHmGgdkqgMc8Ed

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12418:cBUSXHQULRNQPRQGCQGAgAACgUCMG8RgEAIJQAFjzDERAIEMAIA3wyCByQUAZLagxTyVRwokROV6JAxIKEImqC4AvDYGBEkD

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:dcfcfcfcbc800000
Perceptual Hash:da9a6c6d98986563
Difference Hash:3030707070000000
Wavelet Hash:dcfcfcfcfcc08000
Color Hash:#a66ce0

Other Hashes

Crop Resistant:3030707070000000

Scan History

Scan history not available

Unable to load historical scan data