ScanMalware.com

Security Scan Report: mggburnssitus-3rgmi8tipd.edgeone.dev

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/009a5410-e18e-4e13-a9ba-d0389e84af16Domain and IP registration (RDAP)/api/v1/rdap/009a5410-e18e-4e13-a9ba-d0389e84af16How often this domain was scanned/api/v1/domain/stats/mggburnssitus-3rgmi8tipd.edgeone.devScan history for this domain/api/v1/domain/history/mggburnssitus-3rgmi8tipd.edgeone.dev?limit=15
This website contacted 8 IPs in 2 countries across 10 domains to perform 14 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 4 months ago.

Submitted URL: https://mggburnssitus-3rgmi8tipd.edgeone.dev/18010-jan-smithers.html

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

Low‑risk page with no phishing or malware signs; caution advised due to unknown subdomain age and unranked domain.

Risk Factors (2)
Unranked domain reputation
Unknown subdomain age
Safety Factors (4)
No login, payment, or credential‑harvesting forms
Content classified as an article (og:type=article)
No malicious Indicators of Compromise or network alerts
Hosted on a reputable developer platform (edgeone.dev)
Domain age information unavailable

Details

Page Title

Jan Smithers

Scan Type

public

Domain Name Analysis

The domain name 'mggburnssitus-3rgmi8tipd.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'mggburnssitus-3rgmi8tipd'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus three consonants. Splitting it apart reveals two 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://mggburnssitus-3rgmi8tipd.edgeone.dev/18010-jan-smithers.html

Page Load Overview

90.16s
Total Load Time
76 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:4,066 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
81%
entertainment media
81%
adult content
80%
news media journalism
70%
finance banking
64%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7104.18.11.207United States
AS13335Cloudflare, Inc.
1104.21.0.120United States
AS13335Cloudflare, Inc.
1172.66.169.241United States
AS13335Cloudflare, Inc.
1172.240.253.132United States
AS7979Servers.com, Inc.
1142.251.110.94United States
AS15169Google LLC
143.174.247.29Singapore
AS139341ACE
1142.251.13.95United States
AS15169Google LLC
1104.20.7.223United States
AS13335Cloudflare, Inc.
148--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Bootstrapv4.1.3
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EE621A27FB40203C6A214B6664C6B2FCF9298017E3568C6879ECEB784BC77CF5976644

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMwhnYf8zX+YqJ/cWyDRIqe2pkdzYTdag4lDw:bQwhnz+YqJUWyaoktYTdag4xw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14955:RCAZAIAwJr4NFFFUMIAQ0ZCo4IJDQWkbYjAE4uoInGwDUGIEMAEJkkQhiW1oqCgS1ASQS9rnDIlAEgBAYV18GigiKGAAw6Ih

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:81dfc3c3c3c3dfff
Perceptual Hash:b42ecb384b33616b
Difference Hash:2f36161e16161640
Wavelet Hash:81dfc2c2c2c2c2fe
Color Hash:#3a785f

Other Hashes

Crop Resistant:2f36161e16161640

Scan History

Scan history not available

Unable to load historical scan data