VAITP

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.

Versions of the package pubnub before 7.4.0; all versions of the package com.pubnub:pubnub; versions of the package pubnub before 6.19.0; all versions of the package github.com/pubnub/go; versions of the package github.com/pubnub/go/v7 before 7.2.0; versions of the package pubnub before 7.3.0; versions of the package pubnub/pubnub before 6.1.0; versions of the package pubnub before 5.3.0; versions of the package pubnub before 0.4.0; versions of the package pubnub/c-core before 4.5.0; versions of the package com.pubnub:pubnub-kotlin before 7.7.0; versions of the package pubnub/swift before 6.2.0; versions of the package pubnub before 5.2.0; versions of the package pubnub before 4.3.0 are vulnerable to Insufficient Entropy via the getKey function, due to inefficient implementation of the AES-256-CBC cryptographic algorithm. The provided encrypt function is less secure when hex encoding and trimming are applied, leaving half of the bits in the key always the same for every encoded message or file. **Note:** In order to exploit this vulnerability, the attacker needs to invest resources in preparing the attack and brute-force the encryption.

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.

PyDrive2 is a wrapper library of google-api-python-client that simplifies many common Google Drive API V2 tasks. Unsafe YAML deserilization will result in arbitrary code execution. A maliciously crafted YAML file can cause arbitrary code execution if PyDrive2 is run in the same directory as it, or if it is loaded in via `LoadSettingsFile`. This is a deserilization attack that will affect any user who initializes GoogleAuth from this package while a malicious yaml file is present in the same directory. This vulnerability does not require the file to be directly loaded through the code, only present. This issue has been addressed in commit `c57355dc` which is included in release version `1.16.2`. Users are advised to upgrade. There are no known workarounds for this vulnerability.

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

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.

pypdf is a free and open-source pure-python PDF library. An attacker who uses a vulnerability present in versions 3.7.0 through 3.16.4 can craft a PDF which leads to an infinite loop. This infinite loop blocks the current process and can utilize a single core of the CPU by 100%. It does not affect memory usage. That is, for example, the case when the pypdf-user manipulates an incoming malicious PDF e.g. by merging it with another PDF or by adding annotations. The issue was fixed in version 3.17.0. As a workaround, apply the patch manually by modifying `pypdf/generic/_data_structures.py`.

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.

Jinja is an extensible templating engine. Special placeholders in the template allow writing code similar to Python syntax. It is possible to inject arbitrary HTML attributes into the rendered HTML template, potentially leading to Cross-Site Scripting (XSS). The Jinja `xmlattr` filter can be abused to inject arbitrary HTML attribute keys and values, bypassing the auto escaping mechanism and potentially leading to XSS. It may also be possible to bypass attribute validation checks if they are blacklist-based.

GitPython is a python library used to interact with Git repositories. There is an incomplete fix for CVE-2023-40590. On Windows, GitPython uses an untrusted search path if it uses a shell to run `git`, as well as when it runs `bash.exe` to interpret hooks. If either of those features are used on Windows, a malicious `git.exe` or `bash.exe` may be run from an untrusted repository. This issue has been patched in version 3.1.41.