Security Scan Report: technological-plum-tteglidykj-zempgnfqsn.edgeone.app

Submitted: May 8, 2026, 5:47:13 AMCompleted: May 8, 2026, 5:48:23 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is technological-plum-tteglidykj-zempgnfqsn.edgeone.app and was registered NaN years ago.

Submitted URL: https://technological-plum-tteglidykj-zempgnfqsn.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: 70%

2
Risk Score

Low risk site; no malicious activity detected despite unknown subdomain age and low ranking.

Risk Factors
Subdomain on hosting platform with unknown age
Low domain reputation ranking
Safety Factors
No forms or payment fields
No malicious scripts or external links
No credential exfiltration observed
No threat intelligence matches
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

documentation technical

(60%)

Domain Information

The domain 'technological-plum-tteglidykj-zempgnfqsn.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'technological-plum-tteglidykj-zempgnfqsn'. Count 7 characters in 'edgeone' split between 4 vowels and three consonants. Tokenizing the label 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://technological-plum-tteglidykj-zempgnfqsn.edgeone.app/

Page Load Overview

0.40s
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:150 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

documentation technical60% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
60%

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

T1D822C7C9FBE706C8A81BC0681FFF5725222DA057D448C95CB9AE1F648F45184B5FB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBfshKsh2Xh1RaXQl:KrzhNK/lMHmGgdkqQsgsWd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10660:YAUyVnUEpYsQPBWGRUWioAQiCSCGDZQiFFAJAKgCjDkUAIGII6A8wwKQCSeCQsaAgTycRwEmTdxaZAhICAIXCSoCPCaGREUB

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:dcfcfcfcc0808000
Perceptual Hash:da9a386c6cc69363
Difference Hash:3038786000000000
Wavelet Hash:dcfcfcfce0e0c080
Color Hash:#80ac53

Other Hashes

Crop Resistant:3038786000000000

Scan History

Scan history not available

Unable to load historical scan data