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Security Scan Report: operational-blue-pvgspfj3xd-yfmb4lpgn9.edgeone.app

Submitted: Apr 28, 2026, 3:20:13 AMCompleted: Apr 28, 2026, 3:21:33 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is operational-blue-pvgspfj3xd-yfmb4lpgn9.edgeone.app and was registered NaN years ago.

Submitted URL: https://operational-blue-pvgspfj3xd-yfmb4lpgn9.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: 72%

2
Risk Score

The site shows low risk: no malicious indicators, no forms, but subdomain age is unknown and ranking is low.

Risk Factors
Subdomain age unknown (could be newly created)
Low domain ranking in Cisco Umbrella
Safety Factors
No login, payment, or credential collection forms
No malicious Indicators of Compromise or YARA matches
No network IDS alerts or credential exfiltration observed
Domain age information unavailable

Details

Page Title

JARVIS: Multimodal OS

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(97%)

Domain Information

You're looking at domain 'operational-blue-pvgspfj3xd-yfmb4lpgn9.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'operational-blue-pvgspfj3xd-yfmb4lpgn9'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and 3 consonants. Breaking it apart gives 2 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://operational-blue-pvgspfj3xd-yfmb4lpgn9.edgeone.app/

Page Load Overview

0.70s
Total Load Time
3
HTTP Requests
2
Domains
6 KB
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:109 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software97% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
97%
entertainment media
60%
documentation technical
49%
government public service
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
1142.251.110.147United States
AS15169Google LLC
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6D1D827A0A50033889371763BC7660A2E75E803674086453AED11C0CFCABE5C9FBDF9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:s/wBEC1vpNRLKGbYOaFkfJw2sBKho36ogPaGjOkyXJ9kqwtTXi0gZ:RTXEZxBKho36oNkmTP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6352:kXBAgQgliwBggAqIAAhYAEJQAhAIEkBOGaUADQkUEYz7yCAwAAOFgAhHgvKoAiACSQiIoByCoiPAqAIRShYAwVAVAAEQMACo

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:001818183c3c0000
Perceptual Hash:cc3133cc7333cc39
Difference Hash:0810323230700c00
Wavelet Hash:30381c1c3c3c0000
Color Hash:#d27984

Other Hashes

Crop Resistant:0810323230700c00

Scan History

Scan history not available

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