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Security Scan Report: sanurresortblog-nl3cjxgi95.edgeone.app

Submitted: May 22, 2026, 8:40:12 AMCompleted: May 22, 2026, 8:41:53 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 12 HTTP transactions. The main domain is sanurresortblog-nl3cjxgi95.edgeone.app and was registered NaN years ago.

Submitted URL: https://sanurresortblog-nl3cjxgi95.edgeone.app/11583-former-first-lady-rosalynn-carter-dies-at-96-after-entering-hospice-care.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 site; likely a benign news article with no phishing or malware indicators.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain ranking (outside top 100 K)
High JavaScript obfuscation score
Safety Factors
No login, payment, or credential‑harvesting forms
No malicious Indicators of Compromise detected
No JavaScript malware patterns identified
No network IDS alerts
Domain age information unavailable

Details

Page Title

Former First Lady Rosalynn Carter dies at 96 after entering hospice care

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(75%)

Domain Information

Domain 'sanurresortblog-nl3cjxgi95.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'sanurresortblog-nl3cjxgi95'. The core label 'edgeone' covers 7 characters split between 4 vowels and three consonants. Splitting it apart reveals 2 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://sanurresortblog-nl3cjxgi95.edgeone.app/11583-former-first-lady-rosalynn-carter-dies-at-96-after-entering-hospice-care.html

Page Load Overview

8.12s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:810 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software75% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
75%
documentation technical
47%
adult content
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1104.20.23.96United States
AS13335Cloudflare, Inc.
0142.251.110.94United States
AS15169Google LLC
0142.251.13.95United States
AS15169Google LLC
043.152.26.58Singapore
AS139341ACE
0104.21.0.120United States
AS13335Cloudflare, Inc.
0104.18.10.207United States
AS13335Cloudflare, Inc.
0104.20.7.223United States
AS13335Cloudflare, Inc.
0172.240.127.234United States
AS7979Servers.com, Inc.
18--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11462F723FE84013D3E63429971C172FCFA6A503A9365899564EDA72597C7ACB083A3DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMBhnYf8zX+xwteixSJ/cgxyKt4f/q5EQWbDnzYTdag4lDw:bQBhnz+xwtNxSJU4yKt4fS53CvYTdag7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15725:AgFrMwAQGJMYBgAlgIIJAiCQS4gIRJkTAIRgi90CFCBDGGBAMxMU0DggEcGpopMZAkYUzTERBKwA23uAIFAmMEkBDhSBA6YA

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:c3c7c3c3c3c3dfff
Perceptual Hash:b42ecb386f1a294b
Difference Hash:0f16161616163640
Wavelet Hash:81c3c3c3c3c3c2fe
Color Hash:#d2af79

Other Hashes

Crop Resistant:0f16161616163640

Scan History

Scan history not available

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