Security Scan Report: cestastiquinhositus-dp9g5yloanru.edgeone.app

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Submitted: Jun 17, 2026, 3:44:43 AMCompleted: Jun 17, 2026, 3:45:54 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is cestastiquinhositus-dp9g5yloanru.edgeone.app and was registered NaN years ago.

Submitted URL: https://cestastiquinhositus-dp9g5yloanru.edgeone.app/austin-american-statesman-austin-texas.html

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

AI Security Verdict

Moderate Risk

Confidence: 72%

4
Risk Score

The page appears to be a news article with no obvious malicious activity, but unknown subdomain age and heavily obfuscated JavaScript raise moderate concerns.

Risk Factors
Unknown subdomain age on hosting platform
Highly obfuscated JavaScript without clear malicious payload
Low domain ranking with brand name in meta tags (article type)
Medium‑severity IDS alert
Safety Factors
No forms or credential collection
No Indicators of Compromise matches
No JavaScript YARA malware detections
og:type is "article", indicating news/reporting content
External resources are typical analytics/CDN domains
Domain age information unavailable

Details

Page Title

What to Know About the Austin American-Statesman in Austin, Texas

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(77%)

Domain Information

Within the application-focused generic top-level domain (.app), 'cestastiquinhositus-dp9g5yloanru.edgeone.app' is registered; it also runs on subdomain 'cestastiquinhositus-dp9g5yloanru'. The registrable portion 'edgeone' spans 7 characters split between four vowels and 3 consonants. Word splitting yields 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://cestastiquinhositus-dp9g5yloanru.edgeone.app/austin-american-statesman-austin-texas.html

Page Load Overview

1.78s
Total Load Time
14
HTTP Requests
10
Domains
693 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:2,909 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
77%
government public service
42%
forum community discussion
38%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.66.163.237United States
AS13335Cloudflare, Inc.
2142.251.14.95United States
AS15169Google LLC
243.152.26.58Singapore
2172.240.108.84United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
145--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14F62C527AE81415C6F621045A497FBFC7928C02BF3828DF175BCA7389BC97C75A76218

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KS+hnYf8zX+gk6Jk/kbkM+69khsDKuDC+tuorWag4MVEn:T+hnz+Y1WsDKuDC+tbrWag4We

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15451:CoVRZjSBIpVsQeLAU4AAKT4BnESJqAamYAEYIxBCYRvsgpxIAuBkwI4ghBEkAS5pOkYgpACEURwAsswpEGRq2IKkg6YASoDw

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:19790101397d7d71
Perceptual Hash:ca3dc98d3c1c3c3c
Difference Hash:f1c10561c1c1c1c5
Wavelet Hash:197901013d7d7d75
Color Hash:#6cbfe0

Other Hashes

Crop Resistant:f1c10561c1c1c1c5

Scan History

Scan history not available

Unable to load historical scan data