Security Scan Report: careerexpeditionshoppinglist-3vs1ugs7rx.edgeone.app

Submitted: Feb 27, 2026, 5:15:31 AMCompleted: Feb 27, 2026, 5:16:46 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 careerexpeditionshoppinglist-3vs1ugs7rx.edgeone.app and was registered NaN years ago.

Submitted URL: https://careerexpeditionshoppinglist-3vs1ugs7rx.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

No suspicious activity detected; the site appears legitimate and low risk.

Safety Factors
Hosted on reputable platform edgeone.app
No credential or payment forms present
No redirects or cross‑origin requests
No suspicious JavaScript behavior
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

news media journalism

(47%)

Domain Information

The domain 'careerexpeditionshoppinglist-3vs1ugs7rx.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'careerexpeditionshoppinglist-3vs1ugs7rx'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 consonants. It segments into two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://careerexpeditionshoppinglist-3vs1ugs7rx.edgeone.app/

Page Load Overview

0.49s
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:63 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

news media journalism47% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
47%
download file sharing
30%
government public service
27%
documentation technical
27%

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

T18502B5CAEBA305C8A82BC4682FFF5724222DE057C449CD5DB99E5F548F0518875FA2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBFeIh1RaXQl:KrzhNK/lMHmGgdkqgd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8731:IgUC3nACJQNQPDUdAc2AlAAiaACEDYwAOlALSAgSyDKQAIEoAMR0w1KASYdOAPaAgTy83QAmSERaBAhBAEIGiHpCOiaWASEB

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:da9a983c6c6563c3
Difference Hash:3030300000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#6f3a78

Other Hashes

Crop Resistant:3030300000000000

Scan History

Scan history not available

Unable to load historical scan data