Security Scan Report: material.anonymised.io

Submitted: Nov 24, 2025, 7:38:29 AMCompleted: Nov 24, 2025, 7:40:57 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is material.anonymised.io and was registered NaN years ago.

Submitted URL: https://material.anonymised.io/

The Cisco Umbrella rank of the primary domain is #8,562 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no detected threats.

Safety Factors
Well‑established domain (>3 years old)
High Cisco Umbrella ranking (top 10k)
No credential or payment collection forms
No external links or redirects detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(64% confidence)

Category

documentation technical

(27%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'material.anonymised.io' is registered with subdomain 'material'. The second-level label 'anonymised' is 10 characters long containing 4 vowels alongside 6 consonants. Splitting it apart reveals four words: an, ony, mise, d. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://material.anonymised.io/

Page Load Overview

3.57s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:64%
Script Type:Latin
Text Length:91 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical27% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
234.117.250.57Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T157D097F2C020090E3B7202E0998339806B40100C82234E48A2F0C0B8F084BEBC1833C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHoB96D3ne1k9Y0z87xF+nyDrT/9V:kxV7HdBWI87xDf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:201036e301c1c046ff48551e3c03d98a

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:1fffffffffffffff
Perceptual Hash:9c1c1c1d1d1d1f1f
Difference Hash:3000000000000000
Wavelet Hash:00f0f0f0f0f0f0f0
Color Hash:#2d7386

Other Hashes

Crop Resistant:3000000000000000

Scan History

Scan history not available

Unable to load historical scan data