Security Scan Report: sylvie-ver17-final-7ty05rme60.edgeone.app

Submitted: Mar 9, 2026, 8:09:18 AMCompleted: Mar 9, 2026, 8:10:59 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is sylvie-ver17-final-7ty05rme60.edgeone.app and was registered NaN years ago.

Submitted URL: https://sylvie-ver17-final-7ty05rme60.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, but the subdomain is newly created on a hosting platform.

Risk Factors
New subdomain on hosting platform; creation date unknown
Domain age unknown; could be recently created
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
No cross-origin credential exfiltration
Standard hosting platform with no suspicious scripts
Domain age information unavailable

Details

Page Title

Sylvie v17.0.13 — MAP Dashboard

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(74%)

Domain Information

The domain name 'sylvie-ver17-final-7ty05rme60.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'sylvie-ver17-final-7ty05rme60'. The core label 'edgeone' covers 7 characters split between 4 vowels and three consonants. Tokenizing the label suggests two 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://sylvie-ver17-final-7ty05rme60.edgeone.app/

Page Load Overview

13.17s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:819 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software74% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
74%
documentation technical
47%
adult content
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
0104.17.25.14Singapore
12--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14FD276B190E8283F222B59C6B496575E3CD5D21FD98F30283EBD57E50BE2CB5DD4A009

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:XqZJrcq/UZ+0LDLoiHG+O7qUctavyIFo4Wml7BczAjquOMn/f:XqZlmZHDLotl7rl8UjnH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30587:gQkKwIFIAigDsiRCBBNChKQTRUSAAwEbARKzSqKUNEgxFGEgTMADxDYP9VAgAThRWkaVGCCJ6SITlAADkRbQDmRBBgAkhAhJ

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:0000181819190103
Perceptual Hash:884d267399dd8c73
Difference Hash:f7cfb3b2b2b3cfff
Wavelet Hash:01031f1f1f1f0f1f
Color Hash:#8797c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data