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Security Scan Report: obedient-gray-se7toj5flx-c56onc1haz.edgeone.app

Submitted: Jan 13, 2026, 12:01:31 AMCompleted: Jan 13, 2026, 12:03:07 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 10 HTTP transactions. The main domain is obedient-gray-se7toj5flx-c56onc1haz.edgeone.app and was registered NaN years ago.

Submitted URL: https://obedient-gray-se7toj5flx-c56onc1haz.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: 90%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Established domain age
Absence of credential‑harvesting or payment forms
No malicious Indicators of Compromise detected
No brand impersonation or health‑related claims
Domain age information unavailable

Details

Page Title

Rise Arc Challenge

Scan Type

public

Language

🇮🇹

Italian

(29% confidence)

Category

government public service

(37%)

Domain Information

You're looking at domain 'obedient-gray-se7toj5flx-c56onc1haz.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'obedient-gray-se7toj5flx-c56onc1haz'. Count 7 characters in 'edgeone' holding 4 vowels versus 3 consonants. Segmentation suggests 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://obedient-gray-se7toj5flx-c56onc1haz.edgeone.app/

Page Load Overview

9.65s
Total Load Time
10
HTTP Requests
4
Domains
266 KB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:29%
Script Type:Latin
HTML Lang Attribute:en
Text Length:81 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as it

Website Classification

Primary Category

government public service37% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.250.186.131United States
AS15169
243.152.26.58Singapore
AS139341ACE
2172.67.68.11United States
AS13335
2142.250.186.170United StatesUnknown
104--

Detected Technologies1

Tailwind CSS
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19E62B669A110003B7D03D0E6EAD5B55DB51EB1C6EF3E8BF9BA890100BBD76F648D7608

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:QqhY1/xsD0dK3JDN3p7JXeS7JXex/27x4L/0YKMy9VPKA/GvFfwsfSn1shR+Z:QqFN3bhL7g0VdVPKA/ga1shRK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14567:BEQKiHUioJUhRRiYY7SAw4JglkAhCYwUtcgzTVBARgAopATUAACcooFwyJIYIEU+Og0GAEQWpQHIFACrRBCrQQo0acdoAY0E

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:07071b0f1b1b0000
Perceptual Hash:8cb373896337cc8c
Difference Hash:1f1f333733320f33
Wavelet Hash:0f0f1f1f1f1f0303
Color Hash:#6ce083

Other Hashes

Crop Resistant:1f1f333733320f33

Scan History

Scan history not available

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