Security Scan Report: central-red-o2l7hlfsps-f7ptkjhtrc.edgeone.app

Submitted: Apr 3, 2026, 10:00:30 AMCompleted: Apr 3, 2026, 10:01:43 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is central-red-o2l7hlfsps-f7ptkjhtrc.edgeone.app and was registered NaN years ago.

Submitted URL: https://central-red-o2l7hlfsps-f7ptkjhtrc.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: 92%

2
Risk Score

No suspicious activity detected; site appears legitimate and low risk.

Safety Factors
Absence of credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware or obfuscation indicative of malicious behavior
Standard hosting platform subdomain without suspicious activity
Domain age information unavailable

Details

Page Title

Professional Certificate in Data Science-Introduction to Machine Learning in R

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(32%)

Domain Information

You're looking at domain 'central-red-o2l7hlfsps-f7ptkjhtrc.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'central-red-o2l7hlfsps-f7ptkjhtrc'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Word splitting yields 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://central-red-o2l7hlfsps-f7ptkjhtrc.edgeone.app/

Page Load Overview

1.41s
Total Load Time
47
HTTP Requests
3
Domains
789 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:44,453 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software32% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
32%
documentation technical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17142.251.14.95United States
AS15169Google LLC
1543.152.26.58Singapore
15142.251.143.99United States
AS15169Google LLC
473--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C0241092E2A52437913FC2C6F19A1F7B70E2225EDB870804BBFCA7F54BEAC017556416

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:GiwQZSIz9YAwsfTqmoE38pLmDVrqyFMP/ZZrEnLuptPETo1vyg8xQD9CmJNSd9xW:G5QZSIz7PM4fe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:224484:BkikAXRABQKsgXaiDTWnAoapJiA5IYAQhFuCIENQpooVBJEgSYEAIAIITAZnwYHsgIaqBHWq0Cwl6APogAsEWAOpBFMqDBUM

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:c3c3c3ffffffffff
Perceptual Hash:b03434cfcbcb3634
Difference Hash:968e9f3b1b1c3030
Wavelet Hash:c1c1c1c1c1c7cfcf
Color Hash:#652d86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data