PraisonAI is a multi-agent teams system. In versions 3.9.26 through 4.6.57 of praiseonai and 0.12.12 through 1.6.57 of praiseonaiagents, the workflow "include" feature is vulnerable to code execution. Workflow._execute_include() implicitly imports and runs an included recipe's tools.py via a raw importlib.util.spec_from_file_location() and spec.loader.exec_module() call, without honoring the PRAISONAI_ALLOW_TEMPLATE_TOOLS/PRAISONAI_ALLOW_LOCAL_TOOLS autoload opt-in gates or routing through the centralized safe loader that protects the other tools.py autoload paths. As a result, a workflow that includes an attacker-controlled local recipe directory executes arbitrary module-level Python code during include setup, before any child workflow parsing or model call, and the same sink is reachable through the higher-level praisonai.recipe.run() recipe API. An attacker who can cause a victim process to run a workflow or recipe that includes an untrusted local recipe achieves arbitrary Python code execution as the PraisonAI process user, a variant that bypasses the hardening applied to the previously disclosed automatic tools.py RCE advisory family. This issue has been fixed in version 4.6.58 of praisonai and 1.6.58 of praisonaiagents.

The zportals WordPress plugin before 6.3.4 does not properly validate uploaded files, trusting the client-supplied content type and preserving the original file extension, allowing any authenticated user (Subscriber or higher) to upload arbitrary PHP files and achieve remote code execution.

Bolt CMS renders content field values through Twig's full application-level Environment with no SandboxExtension registered anywhere in the codebase. In src/Entity/Field.php, getTwigValue() calls shouldBeRenderedAsTwig(), which gates rendering only on the field definition's allow_twig flag and a regex checking for `{{`, `{%`, or `{#`; when true, the raw field value is compiled and rendered via `self::getTwig()->createTemplate($value)->render(['record' => $this->getContent()])` with no sandboxing. Bolt's own bundled config/bolt/contenttypes.yaml sets `allow_twig: true` on the default "pages" contenttype's content field out of the box. Any user with edit access to that content type (a standard editor role, not just an administrator) can inject a Twig payload such as `{{ ['id']|map('passthru')|join }}` that executes arbitrary OS commands when the content is saved and rendered, achieving remote code execution as the web server user.

A missing permission check in Jenkins Violation Comments to GitLab Plugin 2.62.0 and earlier allows attackers with Overall/Read permission to enumerate credentials IDs of credentials stored in Jenkins.

rust-iot-platform allows creating a "calc rule" via POST /calc-rule/create (api/src/controller/calc_rule_router.rs) containing an arbitrary `script` field. This route does not take the AuthToken request guard used elsewhere in the application, making it reachable without authentication. The stored script is subsequently executed via quick_js::Context::eval() in api/src/biz/calc_run_biz.rs with no sandboxing, allowing an unauthenticated attacker to achieve arbitrary JavaScript execution in the server process by creating and triggering a malicious calc rule.

The YayPricing WordPress plugin before 3.5.7 does not perform capability checks on several of its REST API routes, relying only on a shared nonce, allowing any authenticated user such as a subscriber to overwrite the store's pricing configuration and to disclose private coupon codes.

The AI Chatbot & Workflow Automation by AIWU plugin for WordPress is vulnerable to Sensitive Information Exposure in all versions up to, and including, 1.4.6. This is due to the `getCurrentTaskResults()` method in `modules/workspace/controller.php` being accessible without authentication or authorization checks. The method is not included in the workspace controller's `getNoncedMethods()` array, the base `getPermissions()` returns an empty array, and all AJAX actions are registered with `wp_ajax_nopriv_` hooks (`classes/frame.php:282`). When tasks are created via features like the Bulk Post Generator, the task parameters — including the OpenAI API key in plaintext, AI prompts, keywords, and full AI model configuration — are stored in the database and returned in the JSON response. This makes it possible for unauthenticated attackers to enumerate sequential task IDs and retrieve sensitive configuration data including API keys.

IBM Langflow OSS 1.0.0 through 1.10.3 could allow an authenticated attacker to execute unintended code during Agentic Assistant validation due to improper handling of LLM‑generated components. The application executes model‑generated Python code in the backend during validation prior to user approval, which may allow an attacker to trigger side effects such as outbound network access, file system interaction, or data exfiltration with the privileges of the Langflow backend process.

Missing permission checks in Jenkins HCL AppScan Plugin 1.8.3 and earlier allow attackers with Overall/Read permission to enumerate credentials IDs of credentials stored in Jenkins.

IBM Langflow OSS 1.0.0 through 1.10.3 allows users to read arbitrary files from the server filesystem, including other users' uploaded documents, the JWT signing secret, the SQLite database, and process environment variables, by sending a crafted MCP `resources/read` request with a URL-encoded path traversal sequence in the filename.