NoteGen before 0.32.0 grants the Tauri shell plugin shell:allow-execute capability for bash, python, and python3 with arbitrary arguments in the default desktop capabilities. JavaScript running in the application webview can therefore invoke plugin:shell|execute to run attacker-controlled operating system commands with the privileges of the NoteGen process. In combination with script execution in the webview (for example via chat XSS), this enables full remote code execution on the user's machine.

datamodel-code-generator prior to version 0.70.0 contains a code injection vulnerability that allows attackers who control input schemas to achieve remote code execution by supplying a malicious customBasePath value containing embedded newlines and a dot-free Python expression. The crafted value is emitted verbatim into a generated 'from ... import ...' statement without identifier validation, causing arbitrary Python code to execute when the generated module is imported.

NLTK (Natural Language Toolkit) before version 3.9.3 contains an eval injection vulnerability in the nltk.collocations module that allows an attacker who controls command-line arguments to execute arbitrary Python code. When collocations.py is invoked directly, the __main__ block passes command-line arguments directly to eval() as suffixes of BigramAssocMeasures without allowlist validation or sanitization, enabling an attacker to supply a Python expression that escapes the intended attribute lookup and executes arbitrary code including OS commands via the os module.

In OpenStack Ironic Python Agent through 11.6.0, a project-scoped user with the manager role can achieve arbitrary code execution on a running Ironic-Python-Agent via a maliciously constructed configuration, because the value of ntp_server is passed to a shell.

In OpenStack Ironic Python Agent through 11.5.0, a malicious bootc container, when deployed using ironic-python-agent, may be able to extract the credentials used to download it.

Improper neutralization of argument delimiters in the install_packages() method in AWS Bedrock AgentCore Python SDK before 1.18.1 might allow a remote authenticated user to execute arbitrary commands within the Code Interpreter sandbox via crafted package name arguments. To mitigate this issue, users should upgrade to the patched version 1.18.1.

In JetBrains PyCharm before 2026.1.4, 2026.2 arbitrary code execution via malicious Python executable was possible on untrusted project open

jetbrains

AsyncSSH is a Python package which provides an asynchronous client and server implementation of the SSHv2 protocol on top of the Python asyncio framework. Prior to 2.23.0, AsyncSSH expands the OpenSSH-compatible AuthorizedKeysFile %u token in asyncssh/config.py, asyncssh/connection.py, asyncssh/auth_keys.py, and asyncssh/misc.py with the raw SSH username during pre-authentication server config reload, allowing a server configured with AuthorizedKeysFile authorized_keys/%u to read an authorized-keys file outside the intended directory when the SSH username contains /, \, or .. path traversal segments and authenticate with an attacker-selected key file. This issue is fixed in version 2.23.0.

asyncssh_project

PyMdown Extensions is a set of extensions for the Python-Markdown markdown project. From 10.0.1 until 10.21.3, pymdownx.snippets uses a string-prefix containment check in SnippetPreprocessor.get_snippet_path() in pymdownx/snippets.py when `restrict_base_path: True`, allowing markdown snippet directives to read files from sibling paths that share the same base_path prefix, such as docs and docs_internal. This is a regression of CVE-2023-32309. This issue is fixed in version 10.21.3.

facelessuser

Kiota is an OpenAPI based HTTP Client code generator. Prior to 1.32.0, Kiota's Python generator let attacker-controlled enum value descriptions from x-ms-enum.values[].description flow through KiotaBuilder.SetEnumOptions into Documentation.DescriptionTemplate and PythonConventionService.RemoveInvalidDescriptionCharacters without newline sanitization, allowing generated inline comments to split and execute attacker-controlled Python code at module scope when generated modules were imported. This issue is fixed in version 1.32.0.

To allow builds of Python to be run from an in-tree layout (rather than an installed file layout), the VPATH variable is defined at build time and used to locate certain landmarks - specifically, Modules/setup.local. When this landmark is found relative to VPATH relative to the executable, Python assumes it is running in a source tree and generates a different default sys.path. This code remains in release builds, so that release-ready builds can be built in-tree. On Windows, since builds are written to 'PCbuild/', the value of VPATH is set to '..\..', which results in a landmark of '..\..\Modules\setup.local'. This path is outside the install directory of Python, and may have different permissions, potentially allowing a low-privilege user to create the landmark and an alternative `Lib` folder that will be discovered by an otherwise restricted install. Such a setup occurs with the legacy default install location for all users (in the now superseded EXE installer), due to how Windows allows all users to create folders in the root directory of their OS drive. Our recommended mitigation on Windows is to migrate away from the legacy installer and use the new [Python install manager](https://www.python.org/downloads/latest/pymanager/) to install for the current user. Installs where the directory two levels above the Python installation directory have equivalent permissions are unaffected (in general, a per-user install cannot be modified at all by other users, removing any escalation of privilege risk, and could be directly modified by a privileged user, making the potential tampering irrelevant). Alternative mitigations might include preemptively creating and restricting access to a `Modules` directory. Be aware that only 3.13 and 3.14 will receive updated legacy installers - earlier fixes are only provided as sources. Platforms other than Windows allow VPATH to be overridden, but as they don't usually use a separated directory in the build for binaries, are unlikely to have a landmark reference outside of the install directory. The landmark detection involving VPATH is a fallback for when a more specific landmark - .\pybuilddir.txt - is absent, and was included for compatibility. Future releases of Python will no longer include the fallback, and so builds will need to generate or preserve the pybuilddir.txt file in order to work in-tree. This landmark file has been generated on Windows since 3.11, and on other platforms for longer.

A vulnerability was detected in universal-tool-calling-protocol python-utcp 1.1.0. This affects an unknown function of the component utcp-gql/utcp-websocket. Performing a manipulation results in server-side request forgery. The attack can be initiated remotely. The exploit is now public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.

Kitty is a cross-platform GPU based terminal. In versions prior to 0.47.0, a program able to write bytes to a kitty terminal — a remote SSH peer, a downloaded file viewed with `cat`, a log line, an email body rendered in `less`, an issue body in a TUI, etc. — can cause kitty to execute attacker-supplied Python inside the running kitty process, with the user's full privileges. There is no approval prompt, no remote-control permission requirement, no shell-integration interaction, no clipboard touch, and no editor interaction. Version 0.47.0 fixes the issue.

A code injection vulnerability in version 0.4.17 or later of the ChromaDB Python project allows an authenticated attacker to run arbitrary code on the server by sending a malicious model repository and trust_remote_code set to true in the /api/v2/tenants/default_tenant/databases/default_database/collections/{collection_id} if they have the UPDATE_COLLECTION permission.

All V1 collection-level endpoints in ChromaDB's Python project pass None for the tenant and database to the authorization layer, allowing attackers to bypass authorization controls by using the V1 endpoints.

The SimpleRBACAuthorizationProvider authorization provider in versions 0.5.0 or later of the ChromaDB Python project evaluates whether a user holds a given permission but never checks which tenant, database, or collection that permission applies to allowing users to perform cross tenant actions.

A lack of authorization validation in version 0.4.17 or later of the ChromaDB Python project allows any authenticated users to arbitrarily read, write, update, or delete data in any tenant's collection regardless of which tenant they belong to.

Vim is an open source, command line text editor. Prior to version 9.2.0597, Vim's Python omni-completion executes reconstructed function and class definitions from the current buffer with exec() as part of populating the completion dictionary. Python evaluates function default values, parameter annotations, and class base expressions at definition time, so a hostile buffer can execute attacker-controlled Python expressions during omni-completion. The existing g:pythoncomplete_allow_import mitigation (GHSA-52mc-rq6p-rc7c) does not cover this path, because the attacker-controlled code is not a harvested import/from statement. This issue has been patched in version 9.2.0597.

vim

Vim is an open source, command line text editor. Prior to version 9.2.0561, the Python omni-completion script in python3complete.vim for Vim with the +python3 interpreter enabled (and the legacy pythoncomplete.vim for builds with the +python interpreter) executes the import and from statements found in the current buffer through Python's import machinery. Because the buffer's working directory is on sys.path, opening a hostile .py file with a sibling Python package and invoking omni-completion runs that package's top-level code as the editing user. This issue has been patched in version 9.2.0561.

vim

aiograpi is an asynchronous Instagram API for Python. aiograpi versions before 0.9.10 accepted server-supplied signup challenge paths and used them to build request URLs before validating that the paths were relative Instagram API paths. If an attacker can influence a challenge response, for example through a local network, DNS, or proxy compromise, challenge handling requests could be sent outside the intended Instagram host with the client's existing session headers. Version 0.9.10 validates challenge paths before building URLs, solving captcha challenges, or submitting phone/SMS challenge forms.

Keras versions prior to 3.14.0 are vulnerable to a path traversal issue in the archive extraction utilities located in `keras/src/utils/file_utils.py`. The functions `filter_safe_tarinfos()` and `filter_safe_zipinfos()` validate archive member paths against the process current working directory (CWD) instead of the actual extraction destination. When the process runs with CWD set to `/`, which is common in Docker containers, CI/CD runners, and Jupyter environments, the validation boundary becomes the filesystem root, allowing traversal paths to bypass the security check. Additionally, the zip filter contains a bug that causes an `AttributeError` when a blocked entry is encountered, leading to incomplete extraction. Furthermore, Python 3.11 installations lack the `filter="data"` safety net, leaving them entirely reliant on the flawed CWD-based filter. Exploitation of this vulnerability can result in arbitrary file writes outside the intended extraction directory, enabling attackers to overwrite configuration files, inject malicious code, or corrupt machine learning datasets and pipelines.