Semaine du 10 août au 16 août 2026

libp2p py-libp2p

py-libp2p is the Python implementation of the libp2p networking stack. In 0.7.0 and earlier, the yamux handle_incoming() method in libp2p/stream_muxer/yamux/yamux.py reads an attacker-controlled 32-bit DATA frame length with read_exactly() before validating it against MAX_WINDOW_SIZE or checking whether stream_id exists. A peer that completes the standard Noise handshake can send a 12-byte frame declaring a 0xFFFFFFFF body and then withhold the body, causing the sequential yamux read loop used by the default new_host() configuration to block and preventing every stream on that connection from making progress. No fixed version is available as of this review.

gitpython-developers GitPython · Gitpython project gitpython

GitPython versions before 3.1.54 contain a remote code execution vulnerability in the check_unsafe_options guard that can be bypassed by smuggling git options inside single-character kwarg values. Attackers can supply crafted option dictionaries to clone_from, fetch, pull, push, ls_remote, iter_commits, blame, or archive methods to execute arbitrary OS commands via the --upload-pack parameter.

gitpython-developers GitPython · Gitpython project gitpython

GitPython versions before 3.1.54 contain an arbitrary file overwrite vulnerability in the Diffable.diff method that fails to validate git options passed through kwargs. Attackers can supply the --output argument via the other parameter or output kwarg to write patch content to attacker-chosen file paths at process privilege level.

gitpython-developers GitPython · Gitpython project gitpython

GitPython before 3.1.54 contains an incomplete denylist in unsafe_git_clone_options that omits --template, allowing attackers to achieve arbitrary command execution during clone operations. Attackers can supply --template pointing to a directory containing malicious post-checkout hooks that execute when git clones the repository.

gitpython-developers GitPython · Gitpython project gitpython

GitPython before 3.1.55 fails to disable environment variable expansion in Remote.create() and Submodule.add() URL handling, allowing attackers to exfiltrate secrets by supplying URLs containing variable references. Attackers can craft URLs with environment variable tokens that are expanded into .git/config and .gitmodules, then transmitted to attacker-controlled hosts during fetch or pull operations.

gitpython-developers GitPython · Gitpython project gitpython

GitPython before 3.1.57 fails to guard git option forwarding in IndexFile.checkout() and TagReference.create(), allowing attackers to pass unsafe options via kwargs. Attackers can use --prefix to overwrite arbitrary files with repository content or -F to read arbitrary files returned in-band.

FlowiseAI Flowise

Flowise versions before 3.1.3 contain a remote code execution vulnerability in the Custom MCP node when CUSTOM_MCP_PROTOCOL is set to stdio, allowing authenticated users to execute arbitrary commands by manipulating environment variables and command arguments. Attackers can abuse PYTHONWARNINGS and BROWSER environment variables with python3, or leverage the root working directory with node to bypass validation and execute system commands.

FlowiseAI Flowise

Flowise before 3.1.3 contains a code injection vulnerability in the CSV Agent node's customReadCSV parameter that allows authenticated attackers to execute arbitrary Python code. The validator uses a static regex blocklist that can be bypassed through obfuscation techniques, enabling attackers to execute code in the unsandboxed pyodide environment with full system access.

FlowiseAI Flowise

Flowise before 3.1.3 contains a code injection vulnerability in the Airtable Agent node that allows unauthenticated attackers to execute arbitrary Python code by bypassing the pythonCodeValidator blocklist through obfuscation techniques. Attackers can send crafted prompts to a chatflow using the Airtable Agent node to inject malicious Python code that executes in an unsandboxed pyodide environment with full access to the host operating system.

FlowiseAI Flowise

Flowise before 3.1.3 contains a sandbox escape vulnerability in pythonCodeValidator.ts that fails to block native Pandas DataFrame methods like to_csv, to_json, pipe, and query. Authenticated attackers can exploit this to exfiltrate uploaded CSV data or write arbitrary files to the server filesystem.

Fujitsu Research OneCompression

Fujitsu Research's OneCompression library before 1.2.1 contains an unsafe deserialization vulnerability that allows attackers to execute arbitrary code by supplying a crafted model.pt checkpoint file, as QuantizedModelLoader.load_quantized_model_pt() unconditionally calls torch.load with weights_only=False, invoking Python's pickle machinery during deserialization. Attackers can embed malicious __reduce__ methods in a crafted model checkpoint to execute arbitrary Python code, including system commands, when the library loads the file from a caller-selected model directory.

Snowflake Python APIs

Insufficient input sanitization in Snowflake Python API (`snowflake.core`) versions prior to 1.13.0 allowed confused-deputy privilege escalation through two related weaknesses: path traversal (CWE-22) via unencoded `..` identifier path segments, and HTTP parameter pollution (CWE-141) via unencoded `&`/`#`/`=` characters in query string values. An attacker with access to a downstream application built on snowflake.core could exploit the path traversal by supplying `..` as an object name, causing `snowflake.core` to issue REST requests against a parent resource or exploit the parameter pollution by injecting `&`/`#`/`=` into a free-form name field to override constraints on swap, clone, or rename operations — all executed under the application's privileged session. Successful exploitation requires the attacker to control an identifier or object-name string in an application built on snowflake.core that passes it to `snowflake.core` under a higher-privileged Snowflake session (e.g., an EXECUTE AS OWNER stored procedure, Streamlit app, or Native App). The fix is available in Snowflake Python API version 1.13.0, which also addresses several additional security findings. Users must manually upgrade.

kovidgoyal calibre

calibre is an e-book manager. Prior to 9.12.0, calibre processes attacker-controlled composite_template metadata from a malicious EPUB, OPF, PDF, or similar file through program: and a nested template() call whose formatter does not inherit allow_python_templates=False, allowing a nested python: template to reach compile_python_template and execute arbitrary Python code when the file is opened or imported. This issue is fixed in version 9.12.0.

FreeCAD

FreeCAD is a free and open-source multiplatform 3D parametric modeler. Prior to 1.1.2, the FEM Displacement Constraint task dialog in src/Mod/Fem/Gui/TaskFemConstraintDisplacement.cpp passes the xDisplacementFormula, yDisplacementFormula, and zDisplacementFormula fields of a Fem::ConstraintDisplacement object through TaskDlgFemConstraintDisplacement::accept() into Gui::Command::doCommand. The escaping helper neutralizes quotation marks but not backslashes, allowing crafted formula text to terminate the generated Python string and execute arbitrary Python code with the FreeCAD process's privileges when a victim accepts the dialog. This issue is fixed in version 1.1.2.

miguelgrinberg python-socketio

python-socketio is a Python implementation of the Socket.IO realtime client and server. The python-socketio server stores binary `EVENT` and `ACK` messages in memory while it waits to receive their binary attachments. Once all the attachments are received, these messages are then processed. Prior to version 5.16.4, an attacker can submit a binary message and intentionally omit sending one or more of its attachments to cause the message along with the partial list of received attachments to stay in memory for a long time. Version 5.16.4 takes the following measures to address this issue: Binary packets are only accepted from authenticated clients and, when a client disconnects, the server checks if there is a partial binary message being held for the client and deletes it.

miguelgrinberg python-engineio

python-engineio is a Python implementation of the Engine.IO realtime client and server. Versions prior to 4.13.2 have two specific configurations of the python-engineio server in which the size of incoming messages is not checked before the messages are loaded into memory. An attacker can take advantage of these to cause unnecessary memory allocations in the python-engineio server. The two cases are POST requests, when using ASGI with the long polling transport and WebSocket messages, when using Aiohttp with the WebSocket transport. Version 4.13.2 addresses this issue. ASGI severs now only load the body of incoming requests into memory after the client is confirmed to be known and authenticated, and the payload size is below the maximum allowed size. Requests that do not comply with these requirements are discarded. Aiohttp servers configure the maximum payload size in the underlying WebSocket layer from Aiohttp, so that large messages are discarded by Aiohttp before they are delivered to python-engineio.

miguelgrinberg python-engineio

python-engineio is a Python implementation of the Engine.IO realtime client and server. Prior to version 4.13.2, an attacker can cause the creation of unnecessary background threads in the python-engineio server by exploiting the heartbeat mechanism, which launches a thread when a new connection is received, and when the client sends a PONG packet. This issue primarily affects synchronous servers. Asynchronous servers allocate background tasks instead of physical threads, which are lightweight and less likely to cause denial of service. However, the fix that was implemented was also applied to the asynchronous case. Version 4.13.2 addresses this issue as follows: The initial background thread (or async task( for heartbeat management is only launched if a client passes authentication in the `connect` handler; and the server now ensures that there is only one background heatbeat thread (or async task) per client at a given point in time. Out of sequence PONG packets are now discarded when an active heartbeat thread is already running.

cursor

Cursor is a code editor built for programming with AI. Prior to 3.1.2, Cursor IDE for macOS allows an agent running in Auto-Run Sandbox mode to replace a virtual environment's Python executable with a malicious wrapper that the Microsoft Python extension invokes outside the sandbox, allowing arbitrary host commands with the user's privileges, including modifying files outside the workspace and launching applications. This issue is fixed in version 3.1.2.

Microsoft Python extension for Visual Studio Code · Microsoft python

Inclusion of functionality from untrusted control sphere in Visual Studio Code - Python extension allows an unauthorized attacker to bypass a security feature locally.