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Security Scan Report: ceritamotioninsight-dpc7nubkg6e0.edgeone.app

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/f6ac390e-e8be-4226-9cfa-bed1967f86c9Domain and IP registration (RDAP)/api/v1/rdap/f6ac390e-e8be-4226-9cfa-bed1967f86c9How often this domain was scanned/api/v1/domain/stats/ceritamotioninsight-dpc7nubkg6e0.edgeone.appScan history for this domain/api/v1/domain/history/ceritamotioninsight-dpc7nubkg6e0.edgeone.app?limit=15
This website contacted 7 IPs in 2 countries across 14 domains to perform 35 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://ceritamotioninsight-dpc7nubkg6e0.edgeone.app/

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Low risk site with no malicious indicators; likely a legitimate entertainment page.

Risk Factors (2)
Unknown subdomain creation date
Domain is unranked in Cisco Umbrella
Safety Factors (3)
No forms collecting credentials or payment data
No malicious network or IDS alerts
Content appears to be entertainment/media related
Domain age information unavailable

Details

Page Title

liv golf team leaderboard

Scan Type

public

Domain Name Analysis

You're looking at domain 'ceritamotioninsight-dpc7nubkg6e0.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'ceritamotioninsight-dpc7nubkg6e0'. Count 7 characters in 'edgeone' split between 4 vowels and 3 consonants. Breaking it apart gives 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ceritamotioninsight-dpc7nubkg6e0.edgeone.app/

Page Load Overview

1.65s
Total Load Time
729 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:1,760 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media76% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
76%
documentation technical
73%
healthcare medical
50%
government public service
37%
education learning
32%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5150.171.28.10United States
AS8075Microsoft Corporation
5142.251.14.95United States
AS15169Google LLC
5172.67.150.240United States
AS13335Cloudflare, Inc.
543.152.26.58Singapore
AS139341ACE
5150.171.27.10United States
AS8075Microsoft Corporation
5150.171.28.11United States
AS8075Microsoft Corporation
5172.240.127.243United States
AS7979Servers.com, Inc.
357--

Detected Technologies4

Open-Graph-Protocolvwebsite
100%
WordPress
75%
Contentful
30%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T165A2F6A707CC193E639503856081BBFD603F6E06EE26C8F6B4BB724596C9ED39563422

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:7ohnYf8zX++dG5Y8br/2seEPWlikzSDdMp+/u6BfP2V12oTDwB1NbfVIGgg18oNx:7ohnz++dG53TAqOpZhCRlNjag4+L

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22874:BB4oPonaRQCZAa5gEZMBW8jJ0CUEgM1E0yQ0iKghCoygIDSQeEKEguS1ARMwAFVqWJcwUFSWOAk/EE0RpYsAIgMcg3JmI4eQ

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:ffffffc181c7cfcf
Perceptual Hash:b9c693346c93c63c
Difference Hash:8e1ae41b2f1e191a
Wavelet Hash:e7cefe8181838783
Color Hash:#a1d22d

Other Hashes

Crop Resistant:8e1ae41b2f1e191a,9da54868399de9eb,080573f499333b1a,595365681d7b4f06,fbe7a5d4ccdcc4f4,e0f1fcdcd8e0f8f8

Scan History

Scan history not available

Unable to load historical scan data