Security Scan Report: jtbasqueblogramp-dp272mc5qdmt.edgeone.app

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Submitted: Jun 12, 2026, 10:10:10 PMCompleted: Jun 12, 2026, 10:11:23 PMpubliccompleted
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Summary

This website contacted 23 IPs in 3 countries across 23 domains to perform 2 HTTP transactions. The main domain is jtbasqueblogramp-dp272mc5qdmt.edgeone.app and was registered NaN years ago.

Submitted URL: https://jtbasqueblogramp-dp272mc5qdmt.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Site lacks malicious forms or IoCs but shows heavy JS obfuscation and unknown subdomain age, warranting cautious use.

Risk Factors
Unknown subdomain age (could be brand‑new)
High JavaScript obfuscation
Multiple redirects
Low domain reputation ranking
Safety Factors
No forms collecting credentials or payments
No Indicators of Compromise matches
No JavaScript malware YARA patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

did peter max die

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(61%)

Domain Information

Domain 'jtbasqueblogramp-dp272mc5qdmt.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'jtbasqueblogramp-dp272mc5qdmt'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. Word splitting yields two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jtbasqueblogramp-dp272mc5qdmt.edgeone.app/

Page Load Overview

5.50s
Total Load Time
49
HTTP Requests
31
Domains
5.0 MB
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-US
Text Length:1,430 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical61% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
61%
download file sharing
57%
entertainment media
57%
news media journalism
45%
social media network
40%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5146.75.121.171Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2172.240.108.76United States
AS7979Servers.com, Inc.
2104.18.160.117United States
AS13335Cloudflare, Inc.
2141.193.213.10United States
AS209242Cloudflare London, LLC
2142.250.154.95United States
AS15169Google LLC
2146.75.121.242Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2185.111.111.157Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
22.18.64.5Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2172.67.142.253United States
AS13335Cloudflare, Inc.
252.207.109.58Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
4923--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T154A20B77A2D9193A534103C2604237EDB41FFE0BD6628CD0B6BBB36693C1ED78D6152A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SGWhnYf8zX+wqO6b2/D05X17LEaCTTyHU21wt6orWag4MVZo:RWhnz+wqV2/D05X1/EeHU21wt3rWag47

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22943:kJXLARJYiFCQFYStgUIEAAAWv2AKAQWhsAyNIoEEyIU0SCCaFgRyFgwZVEOWQgEMZBE0YTCkICwLlwMwsBApEmgAWwAcCJIA

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:0000000c1e1c7e76
Perceptual Hash:9269669996673996
Difference Hash:716901f9f838e4e5
Wavelet Hash:1101011d3f1f7f77
Color Hash:#d22d77

Scan History

Scan history not available

Unable to load historical scan data