pyLoad is the free and open-source Download Manager written in pure Python. A log injection vulnerability was identified in `pyload` allowing any unauthenticated actor to inject arbitrary messages into the logs gathered by `pyload`. Forged or otherwise, corrupted log files can be used to cover an attacker’s tracks or even to implicate another party in the commission of a malicious act. This vulnerability has been patched in version 0.5.0b3.dev77.

pyLoad is the free and open-source Download Manager written in pure Python. Any unauthenticated user can browse to a specific URL to expose the Flask config, including the `SECRET_KEY` variable. This issue has been patched in version 0.5.0b3.dev77.

Hail is an open-source, general-purpose, Python-based data analysis tool with additional data types and methods for working with genomic data. Hail relies on OpenID Connect (OIDC) email addresses from ID tokens to verify the validity of a user's domain, but because users have the ability to change their email address, they could create accounts and use resources in clusters that they should not have access to. For example, a user could create a Microsoft or Google account and then change their email to `test@example.org`. This account can then be used to create a Hail Batch account in Hail Batch clusters whose organization domain is `example.org`. The attacker is not able to access private data or impersonate another user, but they would have the ability to run jobs if Hail Batch billing projects are enabled and create Azure Tenants if they have Azure Active Directory Administrator access.

Visual Studio Code Python Extension Remote Code Execution Vulnerability

An open redirect vulnerability in the python package Flask-Security-Too <=5.3.2 allows attackers to redirect unsuspecting users to malicious sites via a crafted URL by abusing the ?next parameter on the /login and /register routes.

Gradio is an open-source Python package that allows you to quickly build a demo or web application for your machine learning model, API, or any arbitary Python function. Versions of `gradio` prior to 4.11.0 contained a vulnerability in the `/file` route which made them susceptible to file traversal attacks in which an attacker could access arbitrary files on a machine running a Gradio app with a public URL (e.g. if the demo was created with `share=True`, or on Hugging Face Spaces) if they knew the path of files to look for. This issue has been patched in version 4.11.0.

Nautobot is a Network Source of Truth and Network Automation Platform built as a web application atop the Django Python framework with a PostgreSQL or MySQL database. When submitting a Job to run via a Job Button, only the model-level `extras.run_job` permission is checked (i.e., does the user have permission to run Jobs in general). Object-level permissions (i.e., does the user have permission to run this specific Job?) are not enforced by the URL/view used in this case. A user with permissions to run even a single Job can actually run all configured JobButton Jobs. Fix will be available in Nautobot 1.6.8 and 2.1.0

Vyper is a Pythonic Smart Contract Language for the Ethereum Virtual Machine (EVM). Contracts containing large arrays might underallocate the number of slots they need by 1. Prior to v0.3.8, the calculation to determine how many slots a storage variable needed used `math.ceil(type_.size_in_bytes / 32)`. The intermediate floating point step can produce a rounding error if there are enough bits set in the IEEE-754 mantissa. Roughly speaking, if `type_.size_in_bytes` is large (> 2**46), and slightly less than a power of 2, the calculation can overestimate how many slots are needed by 1. If `type_.size_in_bytes` is slightly more than a power of 2, the calculation can underestimate how many slots are needed by 1. This issue is patched in version 0.3.8.

Nautobot is a Network Source of Truth and Network Automation Platform built as a web application atop the Django Python framework with a PostgreSQL or MySQL database. In Nautobot 1.x and 2.0.x prior to 1.6.7 and 2.0.6, the URLs `/files/get/?name=...` and `/files/download/?name=...` are used to provide admin access to files that have been uploaded as part of a run request for a Job that has FileVar inputs. Under normal operation these files are ephemeral and are deleted once the Job in question runs. In the default implementation used in Nautobot, as provided by `django-db-file-storage`, these URLs do not by default require any user authentication to access; they should instead be restricted to only users who have permissions to view Nautobot's `FileProxy` model instances. Note that no URL mechanism is provided for listing or traversal of the available file `name` values, so in practice an unauthenticated user would have to guess names to discover arbitrary files for download, but if a user knows the file name/path value, they can access it without authenticating, so we are considering this a vulnerability. Fixes are included in Nautobot 1.6.7 and Nautobot 2.0.6. No known workarounds are available other than applying the patches included in those versions.

PyInstaller bundles a Python application and all its dependencies into a single package. A PyInstaller built application, elevated as a privileged process, may be tricked by an unprivileged attacker into deleting files the unprivileged user does not otherwise have access to. A user is affected if **all** the following are satisfied: 1. The user runs an application containing either `matplotlib` or `win32com`. 2. The application is ran as administrator (or at least a user with higher privileges than the attacker). 3. The user's temporary directory is not locked to that specific user (most likely due to `TMP`/`TEMP` environment variables pointing to an unprotected, arbitrary, non default location). Either: A. The attacker is able to very carefully time the replacement of a temporary file with a symlink. This switch must occur exactly between `shutil.rmtree()`'s builtin symlink check and the deletion itself B: The application was built with Python 3.7.x or earlier which has no protection against Directory Junctions links. The vulnerability has been addressed in PR #7827 which corresponds to `pyinstaller >= 5.13.1`. Users are advised to upgrade. There are no known workarounds for this vulnerability.

A reflected Cross-Site Scripting (XSS) vulnerability exists in the mlflow/mlflow repository, specifically within the handling of the Content-Type header in POST requests. An attacker can inject malicious JavaScript code into the Content-Type header, which is then improperly reflected back to the user without adequate sanitization or escaping, leading to arbitrary JavaScript execution in the context of the victim's browser. The vulnerability is present in the mlflow/server/auth/__init__.py file, where the user-supplied Content-Type header is directly injected into a Python formatted string and returned to the user, facilitating the XSS attack.

dpaste is an open source pastebin application written in Python using the Django framework. A security vulnerability has been identified in the expires parameter of the dpaste API, allowing for a POST Reflected XSS attack. This vulnerability can be exploited by an attacker to execute arbitrary JavaScript code in the context of a user's browser, potentially leading to unauthorized access, data theft, or other malicious activities. Users are strongly advised to upgrade to dpaste release v3.8 or later versions, as dpaste versions older than v3.8 are susceptible to the identified security vulnerability. No known workarounds have been identified, and applying the patch is the most effective way to remediate the vulnerability.

aiohttp is an asynchronous HTTP client/server framework for asyncio and Python. Improper validation made it possible for an attacker to modify the HTTP request (e.g. to insert a new header) or create a new HTTP request if the attacker controls the HTTP version. The vulnerability only occurs if the attacker can control the HTTP version of the request. This issue has been patched in version 3.9.0.

aiohttp is an asynchronous HTTP client/server framework for asyncio and Python. Improper validation makes it possible for an attacker to modify the HTTP request (e.g. insert a new header) or even create a new HTTP request if the attacker controls the HTTP method. The vulnerability occurs only if the attacker can control the HTTP method (GET, POST etc.) of the request. If the attacker can control the HTTP version of the request it will be able to modify the request (request smuggling). This issue has been patched in version 3.9.0.

cryptography is a package designed to expose cryptographic primitives and recipes to Python developers. Calling `load_pem_pkcs7_certificates` or `load_der_pkcs7_certificates` could lead to a NULL-pointer dereference and segfault. Exploitation of this vulnerability poses a serious risk of Denial of Service (DoS) for any application attempting to deserialize a PKCS7 blob/certificate. The consequences extend to potential disruptions in system availability and stability. This vulnerability has been patched in version 41.0.6.

fastbots is a library for fast bot and scraper development using selenium and the Page Object Model (POM) design. Prior to version 0.1.5, an attacker could modify the locators.ini locator file with python code that without proper validation it's executed and it could lead to rce. The vulnerability is in the function `def __locator__(self, locator_name: str)` in `page.py`. In order to mitigate this issue, upgrade to fastbots version 0.1.5 or above.

Fides is an open-source privacy engineering platform for managing the fulfillment of data privacy requests in a runtime environment, and the enforcement of privacy regulations in code. The Fides Privacy Center allows data subject users to submit privacy and consent requests to data controller users of the Fides web application. Privacy requests allow data subjects to submit a request to access all person data held by the data controller, or delete/erase it. Consent request allows data subject users to modify their privacy preferences for how the data controller uses their personal data e.g. data sales and sharing consent opt-in/opt-out. If `subject_identity_verification_required` in the `[execution]` section of `fides.toml` or the env var `FIDES__EXECUTION__SUBJECT_IDENTITY_VERIFICATION_REQUIRED` is set to `True` on the fides webserver backend, data subjects are sent a one-time code to their email address or phone number, depending on messaging configuration, and the one-time code must be entered in the Privacy Center UI by the data subject before the privacy or consent request is submitted. It was identified that the one-time code values for these requests were generated by the python `random` module, a cryptographically weak pseduo-random number generator (PNRG). If an attacker generates several hundred consecutive one-time codes, this vulnerability allows the attacker to predict all future one-time code values during the lifetime of the backend python process. There is no security impact on data access requests as the personal data download package is not shared in the Privacy Center itself. However, this vulnerability allows an attacker to (i) submit a verified data erasure request, resulting in deletion of data for the targeted user and (ii) submit a verified consent request, modifying a user's privacy preferences. The vulnerability has been patched in Fides version `2.24.0`. Users are advised to upgrade to this version or later to secure their systems against this threat. There are no known workarounds for this vulnerability.

aiohttp is an asynchronous HTTP client/server framework for asyncio and Python. Affected versions of aiohttp have a security vulnerability regarding the inconsistent interpretation of the http protocol. HTTP/1.1 is a persistent protocol, if both Content-Length(CL) and Transfer-Encoding(TE) header values are present it can lead to incorrect interpretation of two entities that parse the HTTP and we can poison other sockets with this incorrect interpretation. A possible Proof-of-Concept (POC) would be a configuration with a reverse proxy(frontend) that accepts both CL and TE headers and aiohttp as backend. As aiohttp parses anything with chunked, we can pass a chunked123 as TE, the frontend entity will ignore this header and will parse Content-Length. The impact of this vulnerability is that it is possible to bypass any proxy rule, poisoning sockets to other users like passing Authentication Headers, also if it is present an Open Redirect an attacker could combine it to redirect random users to another website and log the request. This vulnerability has been addressed in release 3.8.0 of aiohttp. Users are advised to upgrade. There are no known workarounds for this vulnerability.

aiohttp is an asynchronous HTTP client/server framework for asyncio and Python. The HTTP parser in AIOHTTP has numerous problems with header parsing, which could lead to request smuggling. This parser is only used when AIOHTTP_NO_EXTENSIONS is enabled (or not using a prebuilt wheel). These bugs have been addressed in commit `d5c12ba89` which has been included in release version 3.8.6. Users are advised to upgrade. There are no known workarounds for these issues.

IBM AIX's 7.3 Python implementation could allow a non-privileged local user to exploit a vulnerability to cause a denial of service. IBM X-Force ID: 267965.