Security Scan Report: hammerjs.github.io

Submitted: May 18, 2026, 8:08:21 PMCompleted: May 18, 2026, 8:11:22 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 13 HTTP transactions. The main domain is hammerjs.github.io and was registered NaN years ago.

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Hammer.JS - Hammer.js

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(58%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'hammerjs.github.io' is registered and includes subdomain 'hammerjs'. The core label 'github' covers 6 characters split between 2 vowels and 4 consonants. Segmentation suggests three words: g, it, hub. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

N/A
Total Load Time
13
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:129 chars
Detector Agreement:75%

Website Classification

Primary Category

technology software58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
58%
documentation technical
56%
healthcare medical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7172.66.0.227United States
AS13335Cloudflare, Inc.
1188.114.96.3United States
AS13335Cloudflare, Inc.
1185.199.109.153United States
AS54113Fastly, Inc.
1146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1192.178.183.94United States
AS15169Google LLC
1142.251.13.139United States
AS15169Google LLC
1192.178.170.95United States
AS15169Google LLC
07--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C89195A79884042E0662128C74F0A68C46878E4BFF03DA6376FF06756F85E96CD5326E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:O9yrUZpfc8AwrRzA62ZxZGJzWxIqG3xSXF1OtYEL/46H+72smLLk7wW5O9R4EEQs:O5tbGGJzWU3kX/jEL/HH+aLLkbus71

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4308:ABAkICtgFAVIIihABBBACCAAAAFGQQMKIAAAAAhCyAQADAJBAAQuAGAAQJAEIAQsAQABMCGIBAAgScBU0CQAmERQiABggjAA

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:001800183c3c0000
Perceptual Hash:8c6367c9cb676924
Difference Hash:487196b2b2b2066c
Wavelet Hash:3c3c183cfcfcc0f0
Color Hash:#bfd279

Scan History

Scan history not available

Unable to load historical scan data