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Security Scan Report: federal-red-p5asienrua-d3s5mqoxg3.edgeone.app

Submitted: Mar 13, 2026, 8:22:35 AMCompleted: Mar 13, 2026, 8:24:13 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 federal-red-p5asienrua-d3s5mqoxg3.edgeone.app and was registered NaN years ago.

Submitted URL: https://federal-red-p5asienrua-d3s5mqoxg3.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

No malicious activity detected; the site is a new subdomain on a hosting platform with no content.

Risk Factors
Subdomain on hosting platform with unknown creation date (potentially new)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns identified
No network IDS alerts triggered
Page title matches the domain (no brand impersonation)
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

The domain 'federal-red-p5asienrua-d3s5mqoxg3.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'federal-red-p5asienrua-d3s5mqoxg3'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 3 consonants. It segments into 2 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://federal-red-p5asienrua-d3s5mqoxg3.edgeone.app/

Page Load Overview

8.16s
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:831 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
39%
adult content
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
AS139341ACE
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17D02C6CAEB9305C9A81BC0682FFF5724222DE057C449CD5DB99E1F588F4518875EB3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBHPh1RaXQl:KrzhNK/lMHmGgdkq8d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8683:IDWC1nACBQMQNJWcQU3UlAAiSISEjQQIMFQZmAACiDqSg4kICMR0wwKgCYeCANaAmTidVQAmSEB6BAtBAgImCCoCOKeWLAEB

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a9838686167c7
Difference Hash:3030600000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#6ca0e0

Other Hashes

Crop Resistant:3030600000000000

Scan History

Scan history not available

Unable to load historical scan data