CVE Database

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.

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.

IBM Langflow OSS 1.0.0 through 1.10.3 could allow a remote attacker to inject arbitrary code on the system, due to the improper control of user input code.

IBM Langflow OSS 1.0.0 through 1.10.3 installations allow anyone on the internet to execute arbitrary code on the server without any credentials via 2 HTTP requests.

IBM Langflow OSS 1.0.0 through 1.10.3 could allow a remote authenticated attacker to execute arbitrary code due to code injection.

IBM Langflow OSS 1.0.0 through 1.10.3 could allow a remote authenticated attacker to execute arbitrary code due to improper validation of Python code during AST-based security scanning.

IBM Langflow OSS 1.0.0 through 1.10.3, 1.0.0 through 1.10.3, 1.0.0 through 1.10.3, 1.0.0 through 1.10.3, 1.0.0 through 1.10.3, 1.0.0 through 1.10.3, and 1.0.0 through 1.10.3 could allow a remote authenticated attacker to execute arbitrary code due to improper validation of module imports.

Jenkins Multijob Plugin 669.v9d96a_d9c71b_0 and earlier provides Groovy scripting features that do not integrate with Script Security Plugin, allowing attackers with Item/Create or Item/Configure permission to execute arbitrary code in the context of the Jenkins controller JVM.

Magistrala's Rules Engine allows authenticated users to create rules with embedded Go or Lua scripts executed server-side when IoT messages arrive. The Lua script engine (re/lua.go) performs no input validation at all and preloads dangerous libraries: db (arbitrary database access), ioutil (file I/O), an HTTP client (SSRF), and filepath (traversal).

MacCMS10's admin template editor (application/admin/controller/Template.php) blocks dangerous PHP functions in template content via a blacklist regex, but the blacklist omitted exec, passthru, popen, show_source, create_function, register_shutdown_function, register_tick_function, and error_log.

An issue in Vim Project v9.2.0389 and earlier allows a local attacker to execute arbitrary code via the vms_fixfilename() function within file vim/src/os_vms.c

PDM is a Python package and dependency manager. In versions up to and including 2.26.9, PDM automatically loads project-local plugins from a .pdm-plugins directory during initialization, allowing an attacker-controlled file in an untrusted repository checkout to execute arbitrary Python code before any command is parsed. This happens because load_plugins() runs during Core.init() and adds .pdm-plugins via site.addsitedir(), which processes .pth files and immediately executes any line beginning with import, so the code runs with the privileges of the user invoking pdm and even a benign command such as pdm --version triggers it (making the impact strongest in CI, automation, and privileged contexts). The issue is fixed in version 2.27.0.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the SQLite Record Manager node in packages/components/nodes/recordmanager/SQLiteRecordManager/SQLiteRecordManager.ts accepted user-controlled additionalConfig and spread it after the intended database setting, allowing additionalConfig.database to overwrite the SQLite database path. An authenticated attacker using the published Docker image, which ran as root, could write a SQLite database to paths such as /etc/chromium/exploit.conf; by controlling the table name and namespace value, the attacker could place shell syntax into the database file and trigger execution when Puppeteer launched Chromium and sourced /etc/chromium/*.conf. This issue is fixed in version 3.1.3.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the CSVAgent node allowed users to provide Python code that is executed through pyodide; although a denylist blocked dangerous Python constructs, pandas.read_pickle() could deserialize a pickled payload and achieve code execution without matching the denied words. The affected file is flowise-components/nodes/agents/CSVAgent/CSVAgent.ts, where user-supplied customReadCSVFunc is evaluated as pd.${customReadCSVFunc}. An authenticated user who can create or modify a chatflow can add a CSV Agent, place a malicious read_pickle payload in the Additional Parameters, save the chatflow, and trigger /api/v1/prediction/<UUID> to execute commands. This issue is fixed in version 3.1.3.