Security Scan Report: alyssascareerexpedition-d1tm3i9cb2.edgeone.app

Submitted: Feb 27, 2026, 3:27:51 AMCompleted: Feb 27, 2026, 3:29:03 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 alyssascareerexpedition-d1tm3i9cb2.edgeone.app and was registered NaN years ago.

Submitted URL: https://alyssascareerexpedition-d1tm3i9cb2.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%

0
Risk Score

No malicious activity detected; site appears legitimate.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
Standard hosting platform (edgeone.app) with typical content
Page title "Files Collection" matches visible content
Low Cisco Umbrella ranking but no other suspicious signals
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

education learning

(70%)

Domain Information

The domain name 'alyssascareerexpedition-d1tm3i9cb2.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'alyssascareerexpedition-d1tm3i9cb2'. The second-level label 'edgeone' is 7 characters long holding four vowels versus three consonants. Breaking it apart gives 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://alyssascareerexpedition-d1tm3i9cb2.edgeone.app/

Page Load Overview

0.54s
Total Load Time
2
HTTP Requests
1
Domains
3 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

education learning70% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
70%
news media journalism
44%
government public service
37%
documentation technical
33%
healthcare medical
26%

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

T13D02C5CAEBA305C8A82BC06C2FFF5724222DE017C448CD5DB99E5F548F0518875EA3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB3Hh1RaXQl:KrzhNK/lMHmGgdkqad

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8726:JgUC1nACBQMQNBWcAU2IhBEqSICEDQRBMFAJIBAKiDOQgYE4IMR0yweCCYcGENbEgTicVQAmSExaDAhBAAoGCCoKOCeWEAEj

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:#40bf82

Other Hashes

Crop Resistant:3030300000000000

Scan History

Scan history not available

Unable to load historical scan data