Security Scan Report: peakvistapressblog-7znl34ppkl.edgeone.app

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Submitted: May 24, 2026, 9:03:30 AMCompleted: May 24, 2026, 9:04:55 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 11 HTTP transactions. The main domain is peakvistapressblog-7znl34ppkl.edgeone.app and was registered NaN years ago.

Submitted URL: https://peakvistapressblog-7znl34ppkl.edgeone.app/24662-selena-gomez-loves-justin-biebers-heartbreaker-new-interview-hollywood-life.html

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

AI Security Verdict

Low Risk

Confidence: 75%

3
Risk Score

Low‑risk gossip article; no phishing, malware, or credential‑stealing behavior observed.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
High JavaScript obfuscation (though not malicious)
Safety Factors
No credential or payment forms
No Indicators of Compromise detected
No network IDS alerts
Article type indicates informational content
Domain age information unavailable

Details

Page Title

Selena Gomez Loves Justin Biebers Heartbreaker New Interview Hollywood Life

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

gambling betting

(78%)

Domain Information

The domain 'peakvistapressblog-7znl34ppkl.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'peakvistapressblog-7znl34ppkl'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside 3 consonants. Segmentation suggests 2 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://peakvistapressblog-7znl34ppkl.edgeone.app/24662-selena-gomez-loves-justin-biebers-heartbreaker-new-interview-hollywood-life.html

Page Load Overview

13.45s
Total Load Time
17
HTTP Requests
13
Domains
31 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-US
Text Length:2,810 chars
Detector Agreement:100%

Website Classification

Primary Category

gambling betting78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

gambling betting
78%
entertainment media
61%
travel tourism
39%
corporate
35%
healthcare medical
30%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.240.127.234United States
AS7979Servers.com, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
2172.67.150.240United States
AS13335Cloudflare, Inc.
2142.250.154.94United States
AS15169Google LLC
2104.18.11.207United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2192.178.183.95United States
AS15169Google LLC
178--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12B52FA33F9815038676215667093B7BCBE29E42AC7C394A8B4A9F33DD7C25CBC476600

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMihnYf8zX+F7Jky3x8GKSzYTdag4lDd:bQihnz+F7JkyhwIYTdag4xd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14053:JO6BFsEQ0ZMJJgwFAyBQBxCDYIQBAsgS4DAAYEQJ16QLWGMioAAR0wCsCRoIggQAHgGJWdiihwneAx6CIaIkEE0YCgdAoBIg

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:81c7c3c3c3ffffff
Perceptual Hash:b43ccf8b286dc30b
Difference Hash:0f3e16161e100000
Wavelet Hash:8082c2c2c2defefe
Color Hash:#48d22d

Other Hashes

Crop Resistant:0f3e16161e100000

Scan History

Scan history not available

Unable to load historical scan data