Security Scan Report: sammods.github.io

Submitted: May 17, 2026, 8:44:49 AMCompleted: May 17, 2026, 8:46:49 AMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is sammods.github.io and was registered 13 years ago.

Submitted URL: https://sammods.github.io

The Cisco Umbrella rank of the primary domain is #621,173 of the top 1 million websites

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

Site not found · GitHub Pages

Scan Type

public

Domain Name Analysis

Domain 'sammods.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'sammods'. The registrable portion 'github' spans 6 characters with 2 vowels and four consonants. Word splitting yields 3 words: g, it, hub. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sammods.github.io

Page Load Overview

0.28s
Total Load Time
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

Text Length:250 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical38% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1185.199.109.153United States
AS54113Fastly, Inc.
11--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11F126D7E19E93308D8028A1539B267993D75480F9E866E6FB5AD0351CF8FE10E1637CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:95wnb1iC9OA9XXMa9kukrALQDUnulGVopLAGCALQD6vnglET31iCLL3Z:9eB8H3DUulGmmv3D6vglETliCfJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9086:gY2CAICbgAHCgZCAjjjkITRBHoYDBBQVXBpgGOGCokAiGJFKQQ8QpKl8HUCcCFzEAgKQlRYBqAIbAQAAPyElKAEoABzQyENq

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:e7e7e7ffffffffff
Perceptual Hash:b33326cecccccc31
Difference Hash:080c0c0000000000
Wavelet Hash:270327270f0f0f0f
Color Hash:#6ccce0

Other Hashes

Crop Resistant:080c0c0000000000

Scan History

Scan history not available

Unable to load historical scan data