Security Scan Report: sanurresortblog-nl3cjxgi95.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 12 domains to perform 1 HTTP transaction. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://sanurresortblog-nl3cjxgi95.edgeone.app/14894-debunking-nancy-sullivans-husband-rumor.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%

5
Risk Score

The site shows Instagram branding on a low‑rank, newly created subdomain with no malicious payloads, yielding a moderate risk of brand impersonation.

Risk Factors (4)
Unknown subdomain age
Low domain reputation (Cisco Umbrella rank > 100k)
Brand impersonation without disclosure
High JS obfuscation (potentially hidden malicious intent)
Safety Factors (5)
No Indicators of Compromise matched in threat intel
No JavaScript malware YARA patterns detected
No network IDS alerts
No credential exfiltration observed
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

DEBUNKING Nancy Sullivan's Husband Rumor

Scan Type

public

Domain Name Analysis

The domain 'sanurresortblog-nl3cjxgi95.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'sanurresortblog-nl3cjxgi95'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside 3 consonants. Word splitting yields two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sanurresortblog-nl3cjxgi95.edgeone.app/14894-debunking-nancy-sullivans-husband-rumor.html

Page Load Overview

30.24s
Total Load Time
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:3,942 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network66% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
66%
entertainment media
59%
education learning
54%
forum community discussion
51%
blog personal website
51%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1104.18.10.207United States
AS13335Cloudflare, Inc.
0101.33.10.57Frankfurt am Main, Hesse, Germany
0142.251.14.94United States
AS15169Google LLC
0172.67.150.240United States
AS13335Cloudflare, Inc.
0142.250.154.95United States
AS15169Google LLC
0104.20.7.223United States
AS13335Cloudflare, Inc.
0172.240.253.132United States
AS7979Servers.com, Inc.
0104.20.23.96United States
AS13335Cloudflare, Inc.
18--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166620A37AA81223C2731838665C6B2FCBD68C035B756C4AD78E993794BC37D74DB1198

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMIhnYf8zX+8x9iUvJ/cgFy7QoVH+VPlcSH8VQtHUno4SI3KzYTdag4lDw:bQIhnz+8x9iUvJU+y7QoVH+VPVH8VUHe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14994:AMBPkVBQVJIIrgApEQMNAiCmUQnARB9yBEEIBlgxEDwrNUBPolqFGqQoC40okCcgEARQSTDFCoGAuzLCoAgkNF8JAjJACgYB

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:83cfc3c3c3c3ffff
Perceptual Hash:b438cb3a6c4b6c4d
Difference Hash:2b1e1616161e1802
Wavelet Hash:81c6c2c2c2c2fefe
Color Hash:#d46ce0

Other Hashes

Crop Resistant:2b1e1616161e1802

Scan History

Scan history not available

Unable to load historical scan data