Security Scan Report: tlgoepblog-gc87fe81lm.edgeone.app

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Submitted: May 23, 2026, 6:57:23 PMCompleted: May 23, 2026, 6:58:41 PMpubliccompleted
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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 tlgoepblog-gc87fe81lm.edgeone.app and was registered NaN years ago.

Submitted URL: https://tlgoepblog-gc87fe81lm.edgeone.app/16463-obsessed-with-being-a-kardashian-documents-three-individuals-with-one-very-real-addiction.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%

2
Risk Score

The site appears to be a low‑risk informational article with no malicious indicators, though the subdomain is newly created and low‑ranked.

Risk Factors
Unknown subdomain age (could be newly created)
Low domain ranking in Cisco Umbrella
High JavaScript obfuscation score
Safety Factors
No forms or credential fields present
No malicious Indicators of Compromise detected
No JavaScript malware patterns identified
Page marked as article (og:type=article) indicating informational content
Domain age information unavailable

Details

Page Title

Obsessed with Being a Kardashian' Documents Three Individuals with One Very Real Addiction

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain name 'tlgoepblog-gc87fe81lm.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'tlgoepblog-gc87fe81lm'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and three consonants. Segmentation suggests two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tlgoepblog-gc87fe81lm.edgeone.app/16463-obsessed-with-being-a-kardashian-documents-three-individuals-with-one-very-real-addiction.html

Page Load Overview

11.55s
Total Load Time
17
HTTP Requests
13
Domains
34 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:8,905 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
entertainment media
31%
adult content
25%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.67.150.240United States
AS13335Cloudflare, Inc.
2142.251.20.94United States
AS15169Google LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
2104.20.7.223United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2104.18.11.207United States
AS13335Cloudflare, Inc.
2172.240.253.132United States
AS7979Servers.com, Inc.
178--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D192392BFB46223D2F734226B182B1FC772A8029E796C8E8646C877D17876DF427D154

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMShnYf8zX+IAJPy/lhGda5WmobrzzYTdag4lDd:bQShnz+IAJPyNOBYTdag4xd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20205:YJFEAgD1QhIIBF4AiEELIxKl+FMACs0j9yAAyOAwotyIkASBIkAAgx8AQEDYgYABKggtQBAWhEEmmYwCYockkAg0ABCCFkYk

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:c3c7c3c3c3c3c3df
Perceptual Hash:b47d9a2a4721cf64
Difference Hash:16161e16161e1e16
Wavelet Hash:83c3c3c3c3c3c3c7
Color Hash:#5b40bf

Other Hashes

Crop Resistant:16161e16161e1e16

Scan History

Scan history not available

Unable to load historical scan data