CVE-2026-1375 Tutor LMS <= 3.9.5 - Insecure Direct Object Reference to Authenticated (Instructor+) Arbitrary Course Modification and Deletion

The Tutor LMS – eLearning and online course solution plugin for WordPress is vulnerable to Insecure Direct Object References IDOR in all versions up to, and including, 3.9.5. This is due to missing object-level authorization checks in the courselistbulkaction, bulkdeletecourse, and...

Moodle 安全漏洞

Moodle is an open-source e-learning software platform developed by Moodle. It is also known as a course management system, learning management system, or virtual learning environment. Moodle has security vulnerabilities. These vulnerabilities stem from the fact that the LTI authentication...

PT-2026-5958

Name of the Vulnerable Software and Affected Versions Moodle affected versions not specified Description A flaw exists in Moodle that allows suspended users to authenticate through the Learning Tools Interoperability LTI Provider. The issue stems from LTI authentication handlers not enforcing use...

CVE-2025-71179

Creativeitem Academy LMS 7.0 contains reflected Cross-Site Scripting XSS vulnerabilities via the search parameter to the /academy/blogs endpoint, and the string parameter to the /academy/coursebundles/search/query endpoint. These vulnerabilities are distinct from the patch for CVE-2023-4119, whic...

CVE-2025-71179

Creativeitem Academy LMS 7.0 contains reflected Cross-Site Scripting XSS vulnerabilities via the search parameter to the /academy/blogs endpoint, and the string parameter to the /academy/coursebundles/search/query endpoint. These vulnerabilities are distinct from the patch for CVE-2023-4119, whic...

Malicious code in learning-curve-projects (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 535d27590bc02eadc7c52e7179ac183cfaac3079b16ae34a204e55b3e145ae62 Package contains hidden highly obfuscated code that is loaded during importing the module. --- Category: MALICIOUS - The campaign has clearly malicious intent,...

MAL-2026-618 Malicious code in learning-curve-projects (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 535d27590bc02eadc7c52e7179ac183cfaac3079b16ae34a204e55b3e145ae62 Package contains hidden highly obfuscated code that is loaded during importing the module. --- Category: MALICIOUS - The campaign has clearly malicious intent,...

CVE-2020-37035

e-Learning PHP Script 0.1.0 contains a SQL injection vulnerability in the search functionality that allows attackers to manipulate database queries through unvalidated user input. Attackers can inject malicious SQL code in the 'search' parameter to potentially extract, modify, or access sensitive...

CVE-2020-37035

CVE-2020-37035 concerns e-Learning PHP Script 0.1.0, where the vulnerable component is the search functionality. The root cause is an SQL injection vulnerability due to unvalidated input in the 'search' parameter, enabling attackers to manipulate database queries. Reported impact includes potenti...

CVE-2020-37035 e-learning Php Script 0.1.0 - 'search' SQL Injection

e-Learning PHP Script 0.1.0 contains a SQL injection vulnerability in the search functionality that allows attackers to manipulate database queries through unvalidated user input. Attackers can inject malicious SQL code in the 'search' parameter to potentially extract, modify, or access sensitive...

CVE-2020-37035 e-learning Php Script 0.1.0 - 'search' SQL Injection

e-Learning PHP Script 0.1.0 contains a SQL injection vulnerability in the search functionality that allows attackers to manipulate database queries through unvalidated user input. Attackers can inject malicious SQL code in the 'search' parameter to potentially extract, modify, or access sensitive...

CVE-2020-37035

e-Learning PHP Script 0.1.0 contains a SQL injection vulnerability in the search functionality that allows attackers to manipulate database queries through unvalidated user input. Attackers can inject malicious SQL code in the 'search' parameter to potentially extract, modify, or access sensitive...

EUVD-2020-30962

Forma.lms The E-Learning Suite 2.3.0.2 contains a persistent cross-site scripting vulnerability in multiple course and profile parameters. Attackers can inject malicious scripts in course code, name, description fields, and email parameter to execute arbitrary JavaScript without proper input...

PT-2026-5476

Name of the Vulnerable Software and Affected Versions e-Learning PHP Script version 0.1.0 Description The software contains a SQL injection issue in the search functionality. Attackers can manipulate database queries through unvalidated user input. Specifically, malicious SQL code can be injected...

Hardware-Triggered Backdoors

Machine learning models are routinely deployed on a wide range of computing hardware. Although such hardware is typically expected to produce identical results, differences in its design can lead to small numerical variations during inference. In this work, we show that these variations can be...

ReasoningBomb: A Stealthy Denial-Of-Service Attack by Inducing Pathologically Long Reasoning in Large Reasoning Models

Large reasoning models LRMs extend large language models with explicit multi-step reasoning traces, but this capability introduces a new class of prompt-induced inference-time denial-of-service PI-DoS attacks that exploit the high computational cost of reasoning. We first formalize inference cost...

A Systematic Literature Review on LLM Defenses against Prompt Injection and Jailbreaking: Expanding NIST Taxonomy

The rapid advancement and widespread adoption of generative artificial intelligence GenAI and large language models LLMs has been accompanied by the emergence of new security vulnerabilities and challenges, such as jailbreaking and other prompt injection attacks. These maliciously crafted inputs...

QCL-IDS: Quantum Continual Learning for Intrusion Detection with Fidelity-Anchored Stability and Generative Replay

Continual intrusion detection must absorb newly emerging attack stages while retaining legacy detection capability under strict operational constraints, including bounded compute and qubit budgets and privacy rules that preclude long-term storage of raw telemetry. We propose QCL-IDS, a...

CVE-2020-36944

ILIAS Learning Management System 4.3 contains a server-side request forgery vulnerability that allows attackers to read local files through portfolio PDF export functionality. Attackers can inject a script that uses XMLHttpRequest to retrieve local file contents when the portfolio is exported to...

CVE-2020-36944

ILIAS Learning Management System 4.3 contains a server-side request forgery vulnerability that allows attackers to read local files through portfolio PDF export functionality. Attackers can inject a script that uses XMLHttpRequest to retrieve local file contents when the portfolio is exported to...