Security Scan Report: fleanotersitus-smagkqrf6v.edgeone.app

Submitted: May 24, 2026, 12:25:30 AMCompleted: May 24, 2026, 12:27:37 AMpubliccompleted
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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 fleanotersitus-smagkqrf6v.edgeone.app and was registered NaN years ago.

Submitted URL: https://fleanotersitus-smagkqrf6v.edgeone.app/15427-investigative-reports-allege-inhumane-treatment-at-thomson-prison.html

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

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site appears low‑risk with no malicious forms or IoCs, though the subdomain is newly created and poorly ranked.

Risk Factors
Subdomain creation date unknown (could be brand‑new)
Low domain ranking in Cisco Umbrella
Safety Factors
Page type is article (og:type=article) – brand mentions are reporting, not impersonation
No credential exfiltration or cross‑origin form submissions
No malicious network IDS alerts
Domain age information unavailable

Details

Page Title

Investigative reports allege inhumane treatment at Thomson Prison

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(85%)

Domain Information

Within the application-focused generic top-level domain (.app), 'fleanotersitus-smagkqrf6v.edgeone.app' is registered, featuring subdomain 'fleanotersitus-smagkqrf6v'. The second-level label 'edgeone' is 7 characters long with 4 vowels and 3 consonants. Segmentation suggests 2 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://fleanotersitus-smagkqrf6v.edgeone.app/15427-investigative-reports-allege-inhumane-treatment-at-thomson-prison.html

Page Load Overview

59.24s
Total Load Time
17
HTTP Requests
13
Domains
33 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:8,372 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service85% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
85%
news media journalism
83%
adult content
76%
corporate business
71%
education learning
69%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.18.11.207United States
AS13335Cloudflare, Inc.
2172.240.253.132United States
AS7979Servers.com, Inc.
2142.251.110.94United States
AS15169Google LLC
2142.251.13.95United States
AS15169Google LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2104.21.0.120United States
AS13335Cloudflare, 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

T1AE921A33B646213817930355A598B3FCBB1EC835D79698B4F49DE7289B828DB593A3C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMwhnYf8zX+wp8+s2JAdRyAFcsZzkCphgUVl3fzYTdag4lDd:bQwhnz+mnJ4RyAFZPp37YTdag4xd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19550:zgGAAYCQANcGDKBIiglUCcyDUAwYwZi6osACjICGF8YBcW6II0QAkTAGCRgojhk0JBCs5GAqTJ1HAQMAYCmuBZAI0QISqBea

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:80c7c3c3c3c3c3ff
Perceptual Hash:b447cb26472ccb3a
Difference Hash:0e1e16161616160e
Wavelet Hash:00c7c3c3c3c3c3df
Color Hash:#7c79d2

Other Hashes

Crop Resistant:0e1e16161616160e

Scan History

Scan history not available

Unable to load historical scan data