CVE-2026-31281

Totara LMS v19.1.5 and before is vulnerable to HTML Injection. An attacker can inject malicious HTML code in a message and send it to all the users in the application, resulting in executing the code and may lead to session hijacking and executing commands on the victim's browser. NOTE: The...

CVE-2026-31281

Totara LMS v19.1.5 and before is vulnerable to HTML Injection. An attacker can inject malicious HTML code in a message and send it to all the users in the application, resulting in executing the code and may lead to session hijacking and executing commands on the victim's browser. NOTE: The...

TEMPLATEFUZZ: Fine-Grained Chat Template Fuzzing for Jailbreaking and Red Teaming LLMs

Large Language Models LLMs are increasingly deployed across diverse domains, yet their vulnerability to jailbreak attacks, where adversarial inputs bypass safety mechanisms to elicit harmful outputs, poses significant security risks. While prior work has primarily focused on prompt injection...

Totara LMS 19.1.5 Missing Rate Limiting

Totara LMS versions 19.1.5 and below have a forgot password flow that's missing rate limiting...

CVE-2026-31282

Totara LMS versions up to 19.1.5 are affected by a login-page misissue described as Incorrect Access Control, where the login form can be revealed through manipulated login page code. This can be combined with missing rate-limiting on the login form to enable brute-force attacks. Documents confir...

Beyond Static Sandboxing: Learned Capability Governance for Autonomous AI Agents

Autonomous AI agents built on open-source runtimes such as OpenClaw expose every available tool to every session by default, regardless of the task. A summarization task receives the same shell execution, subagent spawning, and credential access capabilities as a code deployment task, a 15x...

Machine Learning-Based Detection of MCP Attacks

The Model Context Protocol MCP is a new and emerging technology that extends the functionality of large language models, improving workflows but also exposing users to a new attack surface. Several studies have highlighted related security flaws, but MCP attack detection remains underexplored. To...

CVE-2026-33710

Chamilo LMS is a learning management system. Prior to 1.11.38 and 2.0.0-RC.3, REST API keys are generated using md5time + userid 5 - rand10000, 10000. The rand10000, 10000 call always returns exactly 10000 min == max, making the formula effectively md5timestamp + userid5 - 10000. An attacker who...

CVE-2026-33737

Chamilo LMS is a learning management system. Prior to 1.11.38 and 2.0.0-RC.3, multiple files use simplexmlloadstring without XXE protection. With LIBXMLNOENT flag, arbitrary server files can be read. This vulnerability is fixed in 1.11.38 and 2.0.0-RC.3...

CVE-2026-33736

Chamilo LMS is a learning management system. Prior to 2.0.0-RC.3, any authenticated user including ROLESTUDENT can enumerate all platform users and access personal information email, phone, roles via GET /api/users, including administrator accounts. This vulnerability is fixed in 2.0.0-RC.3...

CVE-2026-33702

Chamilo LMS is a learning management system. Prior to 1.11.38 and 2.0.0-RC.3, Chamilo LMS contains an Insecure Direct Object Reference IDOR vulnerability in the Learning Path progress saving endpoint. The file lpajaxsaveitem.php accepts a uid user ID parameter directly from $REQUEST and uses it t...

CVE-2026-33706

Chamilo LMS is a learning management system. Prior to 1.11.38, any authenticated user with a REST API key can modify their own status field via the updateuserfromusername endpoint. A student status=5 can change their status to Teacher/CourseManager status=1, gaining course creation and management...

CVE-2026-33704

Chamilo LMS is a learning management system. Prior to 1.11.38, any authenticated user including students can write arbitrary content to files on the server via the BigUpload endpoint. The key parameter controls the filename and the raw POST body becomes the file content. While .php extensions are...

CVE-2026-33737

Chamilo LMS contains an XML External Entity (XXE) vulnerability in multiple files using simplexml_load_string() without XXE protection. With LIBXML_NOENT enabled, an attacker could read arbitrary server files. The issue affects versions prior to 1.11.38 and 2.0.0-RC.3, and is fixed in 1.11.38 and...

CVE-2026-33737

Chamilo LMS is a learning management system. Prior to 1.11.38 and 2.0.0-RC.3, multiple files use simplexmlloadstring without XXE protection. With LIBXMLNOENT flag, arbitrary server files can be read. This vulnerability is fixed in 1.11.38 and 2.0.0-RC.3...

CVE-2026-33710 Chamilo LMS has Weak REST API Key Generation (Predictable)

Chamilo LMS is a learning management system. Prior to 1.11.38 and 2.0.0-RC.3, REST API keys are generated using md5time + userid 5 - rand10000, 10000. The rand10000, 10000 call always returns exactly 10000 min == max, making the formula effectively md5timestamp + userid5 - 10000. An attacker who...

CVE-2026-33708

Chamilo LMS is a learning management system. Prior to 1.11.38, the getuserinfofromusername REST API endpoint returns personal information email, first name, last name, user ID, active status of any user to any authenticated user, including students. There is no authorization check. This...

CVE-2026-33708 Chamilo LMS has REST API PII Exposure via get_user_info_from_username

Chamilo LMS is a learning management system. Prior to 1.11.38, the getuserinfofromusername REST API endpoint returns personal information email, first name, last name, user ID, active status of any user to any authenticated user, including students. There is no authorization check. This...

CVE-2026-33708

Chamilo LMS exposes PII via the get_user_info_from_username REST endpoint before version 1.11.38. Any authenticated user (including students) can retrieve another user’s email, first name, last name, user ID, and active status due to missing authorization checks. This has been fixed in 1.11.38. R...

EUVD-2026-21561

Chamilo LMS is a learning management system. Prior to 1.11.38 and 2.0.0-RC.3, the default password reset mechanism generates tokens using sha1$email with no random component, no expiration, and no rate limiting. An attacker who knows a user's email can compute the reset token and change the...