Security Scan Report: skillsbuild.org

Submitted: Oct 24, 2025, 6:41:27 PMCompleted: Oct 24, 2025, 6:45:02 PMpubliccompleted
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Summary

This website contacted 88 IPs in 5 countries across 20 domains to perform 214 HTTP transactions. The main domain is skillsbuild.org and was registered NaN years ago.

Submitted URL: https://skillsbuild.org/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate IBM SkillsBuild site with no security concerns.

Safety Factors
Established domain age reduces risk
Official brand domain aligns with IBM SkillsBuild
Absence of login, password, or payment fields
Domain age information unavailable

Details

Page Title

Free Skills-Based Learning From Technology Experts | IBM SkillsBuild

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(82%)

Domain Information

You're looking at domain 'skillsbuild.org' on the non-profit oriented generic top-level domain (.org) and has no subdomain. The core label 'skillsbuild' covers 11 characters holding three vowels versus eight consonants. Tokenizing the label suggests two words: skills, build. Average segment length settles at 5.5 characters. 'skills' most strongly signals English. It also appears in Chinese (Pinyin) and Vietnamese contexts.

Screenshot

Security scan screenshot of https://skillsbuild.org/

Page Load Overview

5.38s
Total Load Time
214
HTTP Requests
20
Domains
1.9 MB
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:5,029 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
72%
government public service
62%
adult content
56%
cryptocurrency blockchain
55%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
158104.20.18.90United States
AS13335CLOUDFLARENET
4034.117.77.79Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
172.17.100.184Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
669.192.162.20Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
618.66.122.97United States
AS16509AMAZON-02
454.73.49.168Dublin, Leinster, Ireland
AS16509AMAZON-02
423.50.131.142Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
33.171.214.104United States
AS16509AMAZON-02
23.125.70.222Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
234.241.250.126Dublin, Leinster, Ireland
AS16509AMAZON-02
21488--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E0C3B3B0A0452937913767CDF065E75EA156821ECA840878FBEC87A063DFCC3E7719A6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+O/mEarxL1vHqHeTN5hKE2F2Lhc0M6XCyPF3dMCl3Her+edXeCMeIiesR:+Oa36EMCQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:119295:bsyoAhwoAIwuACIJBAwXNA6I2UEKDhNLwJDMAigiBAnjbRAQRSAGQCWIEUECBIgDYSAAKdjAC9y4cQUsUQAYWIBFGhhwLOwU

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:f1f1f0f1f1fffffe
Perceptual Hash:ee6a95b512939654
Difference Hash:63232521674750d4
Wavelet Hash:f0919080f0f1fefc
Color Hash:#87c588

Scan History

Scan history not available

Unable to load historical scan data