A global dataset containing information from vulnerability assessments of Learning Management Systems (LMS), both open-source and proprietary, used for online education. The analysis focuses on identifying security risks, implementation failures, and vulnerabilities to common cyberattacks like code injection and outdated components. The dataset was authored by San Cristóbal Ruiz, Elio and last updated on October 14, 2025.
Use Cases
- Identify common security risks in LMS platforms based on the described focus on implementation failures and maintenance issues.
- Analyze vulnerability to cyberattacks like code injection based on the documented exploitable vulnerabilities.
- Compare security postures of open-source versus proprietary LMS systems based on the inclusion of different LMS types.
- Inform the implementation of cybersecurity measures for educational institutions based on the dataset's stated purpose.
Strengths
- Includes data from ethical testing on the Moodle LMS platform.
- Covers a global scope of educational institutions and multiple types of LMS.
- Authored by a named individual (San Cristóbal Ruiz, Elio) with a clear organizational affiliation (e-cienciaDatos Harvested Dataverse).
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- e-cienciaDatos Harvested Dataverse
- Collection Method
- Information collected during vulnerability assessments of LMS platforms, including ethical testing.
- Time Range
- null
- Freshness
- Last updated 2025-10-14 21:55:41; freshness should be verified.
- Geography
- Global