Security Scan Report: aksarasantaisphere-dpc9bj3xyvxw.edgeone.app

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Submitted: Jun 21, 2026, 1:53:04 AMCompleted: Jun 21, 2026, 1:54:13 AMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 9 domains to perform 2 HTTP transactions. The main domain is aksarasantaisphere-dpc9bj3xyvxw.edgeone.app and was registered NaN years ago.

Submitted URL: https://aksarasantaisphere-dpc9bj3xyvxw.edgeone.app/apple-tv-jennifer-aniston-the-morning-show.html

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low‑risk article page about Apple TV; no malicious indicators detected.

Risk Factors
Low Cisco Umbrella ranking (#455,732) for the sub‑domain
Sub‑domain on a hosting platform with unknown creation date
Safety Factors
Absence of login, password, or payment forms
Article content about a brand, not a phishing login page
No malicious script behavior or network alerts detected
Domain age information unavailable

Details

Page Title

Jennifer Aniston on Apple TV: The Morning Show’s Impact and What It Means for Viewers

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(92%)

Domain Information

You're looking at domain 'aksarasantaisphere-dpc9bj3xyvxw.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'aksarasantaisphere-dpc9bj3xyvxw'. The second-level label 'edgeone' is 7 characters long with 4 vowels and three consonants. Splitting it apart reveals 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aksarasantaisphere-dpc9bj3xyvxw.edgeone.app/apple-tv-jennifer-aniston-the-morning-show.html

Page Load Overview

1.81s
Total Load Time
18
HTTP Requests
14
Domains
2.3 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:3,785 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
92%
finance banking
69%
news media journalism
63%
adult content
61%
corporate business
59%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.240.127.242United States
AS7979Servers.com, Inc.
2142.250.154.95United States
AS15169Google LLC
2172.67.203.157United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
218.66.147.96United States
AS16509Amazon.com, Inc.
223.45.104.179Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
2170.249.202.178United States
AS63410PrivateSystems Networks
2104.21.0.120United States
AS13335Cloudflare, Inc.
188--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D1820B6BFB80012C275100C46589BBFCBA9D442797C6CEA0BCACB75CCB856CB1473A65

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:dGdhnYf8zX+/6q8LBiSkr6pfWdTxRdT4WPoNjag4n+B+F:0dhnz+/6Jirr6MdTxRdTTANjag4+B8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18107:iwlCQcmxEHSNQWSAGAfDJgxMMSAcCgjhalkCiMIBMVg8QjMSEYBFgh7QAgkGQxAQCWCQOYGMBAQTBgHCYyXoHoP7ADAIhkkY

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:8083ffff83df8383
Perceptual Hash:bcc5396d79c19161
Difference Hash:162a0000273a3b3b
Wavelet Hash:0096ffff819f8181
Color Hash:#a4bf40

Other Hashes

Crop Resistant:162a0000273a3b3b

Scan History

Scan history not available

Unable to load historical scan data