Semaine du 4 mai au 10 mai 2026

python-pillow Pillow · Python pillow

Pillow is a Python imaging library. From version 10.3.0 to before version 12.2.0, processing a malicious PSD file could lead to memory corruption, potentially resulting in a crash or arbitrary code execution. This issue has been patched in version 12.2.0.

befeleme pyp2spec

pyp2spec generates working Fedora RPM spec file for Python projects. Prior to version 0.14.1, pyp2spec was writing PyPI package metadata (e.g. the summary field) into the generated spec file without escaping RPM macro directives. When a packager then runs rpmbuild, those directives get evaluated, so a malicious package can execute arbitrary commands on the build machine. This issue has been patched in version 0.14.1.

geopython pygeoapi

pygeoapi is a Python server implementation of the OGC API suite of standards. From version 0.23.0 to before version 0.23.3, OGC API process execution requests can use the subscriber object to requests to internal HTTP services. This issue has been patched in version 0.23.3.

geopython pygeoapi

pygeoapi is a Python server implementation of the OGC API suite of standards. From version 0.23.0 to before version 0.23.3, a raw string path concatenation vulnerability in pygeoapi's STAC FileSystemProvider plugin can allow for requests to STAC collection based collections to expose directories without authentication. The issue manifests when pygeoapi is deployed without a proxy or web front end that would normalize URLs with .. values, along with a resource of type stac-collection defined in configuration. This issue has been patched in version 0.23.3.

gitpython-developers GitPython · Gitpython project gitpython

GitPython is a python library used to interact with Git repositories. Prior to version 3.1.49, GitConfigParser.set_value() passes values to Python's configparser without validating for newlines. GitPython's own _write() converts embedded newlines into indented continuation lines (e.g. \n becomes \n\t), but Git still accepts an indented [core] stanza as a section header — so the injected core.hooksPath becomes effective configuration. Any Git operation that invokes hooks (commit, merge, checkout) will then execute scripts from the attacker-controlled path. This issue has been patched in version 3.1.49.

gitpython-developers GitPython · Gitpython project gitpython

GitPython is a python library used to interact with Git repositories. Prior to version 3.1.48, a vulnerability in GitPython allows attackers who can supply a crafted reference path to an application using GitPython to write, overwrite, move, or delete files outside the repository’s .git directory via insufficient validation of reference paths in reference creation, rename, and delete operations. This issue has been patched in version 3.1.48.

gitpython-developers GitPython · Gitpython project gitpython

GitPython is a python library used to interact with Git repositories. From version 3.1.30 to before version 3.1.47, GitPython blocks dangerous Git options such as --upload-pack and --receive-pack by default, but the equivalent Python kwargs upload_pack and receive_pack bypass that check. If an application passes attacker-controlled kwargs into Repo.clone_from(), Remote.fetch(), Remote.pull(), or Remote.push(), this leads to arbitrary command execution even when allow_unsafe_options is left at its default value of False. This issue has been patched in version 3.1.47.

rucio · Cern rucio

### Summary A SQL injection vulnerability exists in Rucio versions 1.30.0 and later before 35.8.5, 38.5.5, 39.4.2, and 40.1.1, in `FilterEngine.create_postgres_query()`. This allows any authenticated Rucio user to execute arbitrary SQL against the PostgreSQL metadata database through the DID search endpoint (`GET /dids/<scope>/dids/search`). When the `postgres_meta` metadata plugin is configured, attacker-controlled filter keys and values are interpolated directly into raw SQL strings via Python `.format()`, then passed to `psycopg3`'s `sql.SQL()` which treats the string as trusted SQL syntax. Depending on the database privileges assigned to the service account, exploitation can expose sensitive tables, modify or delete metadata, access server-side files, or achieve code execution through PostgreSQL features such as COPY ... FROM PROGRAM. This issue affects deployments that explicitly use the postgres_meta metadata plugin. This vulnerability has been fixed in versions 35.8.5, 38.5.5, 39.4.2, and 40.1.1.

rucio · Cern rucio

A SQL injection vulnerability in `FilterEngine.create_sqla_query()` allows any authenticated Rucio user to execute arbitrary SQL against the backend database through the DID search endpoint (`GET /dids/<scope>/dids/search`). On Oracle deployments attacker-controlled filter keys and values are interpolated directly into `sqlalchemy.text()` via Python `.format()`, completely bypassing parameterization. This enables full database compromise including extraction of authentication tokens, password hashes, and all managed data identifiers. This affects versions 1.27.0 and later before 35.8.5, 38.5.5, 39.4.2, and 40.1.1. The vulnerability exists in `lib/rucio/core/did_meta_plugins/filter_engine.py` within the `create_sqla_query()` method. When the database dialect is Oracle, filter expressions for JSON metadata columns are constructed using `text()` with Python string formatting. Both `key` and `value` are attacker-controlled strings derived from HTTP query parameters. The `text()` function creates a raw SQL fragment — it does **not** escape or parameterize its contents. Any authenticated Rucio user can exploit this through the DID search API to execute arbitrary SQL against the backend database. This can expose all managed data identifiers and sensitive tables such as identities, tokens, accounts, rse_settings, and rules, and may allow modification of database contents. The issue affects Oracle deployments using the default json_meta plugin and does not affect PostgreSQL or MySQL deployments using that plugin. This vulnerability has been fixed in versions 35.8.5, 38.5.5, 39.4.2, and 40.1.1.

jupyter-server jupyter_server · Red Hat Migration Toolkit for Applications 8.2 · Red Hat OpenShift AI (RHOAI) · Jupyter jupyter server

Jupyter Server is the backend for Jupyter web applications. In versions 2.17.0 and earlier, the Origin header validation uses Python's re.match() to check incoming origins against the allow_origin_pat configuration value. Because re.match() only anchors at the start of the string and does not require a full match, a pattern intended to match only a trusted domain (e.g., trusted.example.com) will also match any origin that begins with that domain followed by additional characters (e.g., trusted.example.com.evil.com). An attacker who controls such a domain can bypass the CORS origin restriction and make cross-origin requests to the Jupyter Server API from an untrusted site. This issue has been fixed in version 2.18.0.

Frappe Technologies Frappe Framework (ERPNext) · Frappe erpnext

Frappe Framework ERPNext 13.4.0 contains a sandbox escape vulnerability in RestrictedPython that allows authenticated users with System Manager role to execute arbitrary code by exploiting frame introspection. Attackers can create a server script via the /app/server-script endpoint and access the gi_frame attribute to traverse the call stack and invoke os.popen to execute system commands.

UsamaK98 python-notebook-mcp

A flaw has been found in UsamaK98 python-notebook-mcp up to a05a232815809a7e425b5fa7be26e0d4369894c2. Impacted is the function create_notebook/read_notebook/edit_cell/add_cell of the file server.py. This manipulation causes path traversal. It is possible to initiate the attack remotely. The exploit has been published and may be used. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available. The project was informed of the problem early through an issue report but has not responded yet.

n8n-io n8n · N8n n8n

n8n is an open source workflow automation platform. Prior to versions 1.123.32, 2.17.4, and 2.18.1, an authenticated user with permission to create or modify workflows containing a Python Code Node could escape the sandbox and achieve arbitrary code execution on the task runner container. This issue only affects instances where the Python Task Runner is enabled. This issue has been patched in versions 1.123.32, 2.17.4, and 2.18.1.

OpenC3 cosmos

OpenC3 COSMOS provides the functionality needed to send commands to and receive data from one or more embedded systems. Prior to version 7.0.0-rc3, the Script Runner widget allows users to execute Python and Ruby scripts directly from the openc3-COSMOS-script-runner-api container. Because all the docker containers share a network, users can execute specially crafted scripts to bypass the API permissions check and perform administrative actions, including reading and modifying data inside the Redis database, which can be used to read secrets and change COSMOS settings, as well as read and write to the buckets service, which holds configuration, log, and plugin files. These actions are normally only available from the Admin Console or with administrative privileges. Any user with permission to create and run scripts can connect to any service in the docker network. This issue has been patched in version 7.0.0-rc3.

icip-cas PPTAgent

PPTAgent is an agentic framework for reflective PowerPoint generation. Prior to commit 418491a, PPTAgent is vulnerable to arbitrary code execution via Python eval() of LLM-generated code with builtins in scope. This issue has been patched via commit 418491a.

netbox-community netbox

NetBox versions 4.3.5 through 4.5.4 contain a remote code execution vulnerability in the RenderTemplateMixin.get_environment_params() method that allows authenticated users with exporttemplate or configtemplate permissions to execute arbitrary code by specifying malicious Python callables in the environment_params field. Attackers can bypass Jinja2 SandboxedEnvironment protections by setting the finalize parameter to any importable Python callable such as subprocess.getoutput, which is invoked on every rendered expression outside the sandbox's call interception mechanism, achieving remote code execution as the NetBox service user.