Security Scan Report: download.jboss.org

Redirected to: https://redhatofficial.github.io/

Submitted: Mar 21, 2026, 12:22:53 AMCompleted: Mar 21, 2026, 12:24:10 AMpubliccompleted
Loading additional data...

Summary

This website contacted 6 IPs in 2 countries across 7 domains to perform 68 HTTP transactions. The main domain is redhatofficial.github.io and was registered NaN years ago.

Submitted URL: https://download.jboss.org

Effective URL: https://redhatofficial.github.io/Redirected

The Cisco Umbrella rank of the primary domain is #118,516 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 72%

4
Risk Score

Site appears legitimate but low ranking and many redirects suggest caution.

Risk Factors
Low Cisco Umbrella ranking with brand display (potential brand impersonation)
Multiple redirects (7) may indicate obfuscation
Safety Factors
Well‑established domain age
No malicious Indicators of Compromise detected
No credential or payment forms present
No JavaScript malware patterns detected
Standard hosting with HTTPS
Domain age information unavailable

Details

Page Title

Red Hat Official GitHub

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(46%)

Domain Information

You're looking at domain 'download.jboss.org' on the non-profit oriented generic top-level domain (.org) with subdomain 'download'. Count 5 characters in 'jboss' split between one vowel and four consonants. Tokenizing the label suggests two words: j, boss. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://download.jboss.org

Page Load Overview

5.49s
Total Load Time
145
HTTP Requests
7
Domains
639 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
Text Length:17,938 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software46% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
46%
documentation technical
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2523.36.162.206Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2423.45.238.235Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
24185.199.110.153United States
AS54113Fastly, Inc.
24151.101.193.229United States
AS54113Fastly, Inc.
2423.36.162.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2423.207.210.136Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1456--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14EA485DE37F035D41A889BEA6E006D9E6D5764BB4A814D04F10E4FB9AF41AFD8C03A47

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ZH9EhVvrEuE+EUepNhR1pRNNbaICyS07jff1k/UgOa/1DF2+X7RwvuCzXy+Jx+fX:F7sSdWtiusnd5hEL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:479793:AasAgpwD46JmVU7SEgVNEF4oQ8IhBALAABZAwggAYxAiiEG7BhVBnAOhk2ACrCM4EDAniYq04odOAQQ5x+dFgYqOIEUKmiIk

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:ff8307ff839b8bc3
Perceptual Hash:bdb2e6ccc189c12d
Difference Hash:ac0d1e590633360b
Wavelet Hash:7f83077f83838b81
Color Hash:#6ce0d0

Other Hashes

Crop Resistant:ac0d1e590633360b

Scan History

Scan history not available

Unable to load historical scan data