Security Scan Report: fast-green-pqcw01aiod-lq7kynrkps.edgeone.app

Submitted: Nov 21, 2025, 3:17:08 AMCompleted: Nov 21, 2025, 3:20:00 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is fast-green-pqcw01aiod-lq7kynrkps.edgeone.app.

Submitted URL: https://fast-green-pqcw01aiod-lq7kynrkps.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 security concerns detected; site appears legitimate.

Safety Factors
Domain has no known malicious Indicators of Compromise
Page contains no forms collecting sensitive data
No redirects or external links observed
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Rudra AI Assistant

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

social media network

(96%)

Domain Information

Within the application-focused generic top-level domain (.app), 'fast-green-pqcw01aiod-lq7kynrkps.edgeone.app' is registered with subdomain 'fast-green-pqcw01aiod-lq7kynrkps'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Breaking it apart gives 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://fast-green-pqcw01aiod-lq7kynrkps.edgeone.app/

Page Load Overview

0.20s
Total Load Time
3
HTTP Requests
2
Domains
43 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:hi
Text Length:121 chars
Detector Agreement:100%
Language mismatch: Declared as hi but detected as en

Website Classification

Primary Category

social media network96% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
96%
entertainment media
83%
technology software
72%
documentation technical
62%
government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
1104.17.25.14United States
AS13335CLOUDFLARENET
02606:4700::6811:190eUnited States
AS13335CLOUDFLARENET
0104.17.24.14United States
AS13335CLOUDFLARENET
02606:4700::6811:180eUnited States
AS13335CLOUDFLARENET
35--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ABD1D96662A5313349ABA0763097D2FB3030C4137B96D184B69F21E6AF8DFE6802FD45

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:2fiZuoRTJBidI3j4UetvWAW1SI8cKGYsbscz36/5OCynnjJpaEZaBI1mWhhpLYoe:2fWvJBgIz4xtvWA7Rcz3KWnndjjYCjEt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6669:CAAACRRIBgkALRAhgRERwkkqRCiEICOgohk0AYUAPIQjRGgUAGaAIEgEkQMJwQGgwKYQBAoEEgAIARBpkBUCEBogRmIlkoSR

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:ff000000000000ff
Perceptual Hash:9c5d9c5d9c5d9908
Difference Hash:320c800000002955
Wavelet Hash:ff00000000001fff
Color Hash:#c5bb87

Other Hashes

Crop Resistant:320c800000002955

Scan History

Scan history not available

Unable to load historical scan data