ScanMalware.com

Security Scan Report: chosen-gray-bbutpxxa7y-2jm02l4kxa.edgeone.app

Submitted: Mar 19, 2026, 7:54:44 PMCompleted: Mar 19, 2026, 7:56:03 PMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 2 countries across 3 domains to perform 4 HTTP transactions. The main domain is chosen-gray-bbutpxxa7y-2jm02l4kxa.edgeone.app and was registered NaN years ago.

Submitted URL: https://chosen-gray-bbutpxxa7y-2jm02l4kxa.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: 95%

0
Risk Score

Legitimate informational article; no security concerns detected.

Safety Factors
Informational article with no credential or payment collection
Hosted on a known platform (edgeone.app) with no suspicious scripts
Low Cisco Umbrella ranking does not indicate brand impersonation
No cross‑origin credential exfiltration detected
Domain age information unavailable

Details

Page Title

Sci-Tech: A Community Wakes Before the Flood — Cyrus Raven Merida

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(62%)

Domain Information

Within the application-focused generic top-level domain (.app), 'chosen-gray-bbutpxxa7y-2jm02l4kxa.edgeone.app' is registered with subdomain 'chosen-gray-bbutpxxa7y-2jm02l4kxa'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 3 consonants. Segmentation suggests 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://chosen-gray-bbutpxxa7y-2jm02l4kxa.edgeone.app/

Page Load Overview

1.14s
Total Load Time
4
HTTP Requests
3
Domains
121 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:6,832 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical62% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
62%
government public service
54%
technology software
47%
adult content
32%
blog personal website
28%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
252.84.150.47United States
AS16509
243.152.26.58Singapore
AS139341ACE
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T117A2E95B7BA71113195381B93BB647AA3324C10BD246D9693FCD924CCF81278DDB3AD8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:7ILrF3HENBDmwkXmFMFMqZDk8wKpMXMLMktDDemMC:0HF3QRFzGJnXppdtDCmt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21994:ZGgAK8DOAIBFKETIUaMBiQ4AwqEHdpEiBQEAgwEUCIUAGIRAlyegdA4I0U1dBimJgAoCQBvHIoTQBFYEjQUEm9DAkKMGAhAA

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:1818191919191919
Perceptual Hash:8876739993339933
Difference Hash:2bb131b1b3b33131
Wavelet Hash:3939393939393939
Color Hash:#1f9352

Other Hashes

Crop Resistant:cbcbe0cbc0c0c8c7,e4ecec6c6c686cec,3bb131b3b3b33133

Scan History

Scan history not available

Unable to load historical scan data