GitHub repository duducosmos/livro_python: Absolute path traversal via Flask send_file
The duducosmos/livro_python repository through 2018-06-06 on GitHub allows absolute path traversal because the Flask send_file function is used unsafely.
Code execution backdoor in Python3-RESTfulAPI via request package
Python3-RESTfulAPI commit d9907f14e9e25dcdb54f5b22252b0e9452e3970e and e772e0beee284c50946e94c54a1d43071ca78b74 was discovered to contain a code execution backdoor via the request package. This vulnerability allows attackers to access sensitive user information and digital currency keys, as well as escalate privileges.
Tensorflow ReverseSequence Negative batch_dim Heap OOB Read
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ReverseSequence` does not fully validate the value of `batch_dim` and can result in a heap OOB read. There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python's negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of `Dim` would access elements before the start of an array. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Nautobot unauthenticated access
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.
aiohttp socket poisoning
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.
pubnub insufficient entropy via the getKey function
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.
Weak one-time code generation in Fides Privacy Center before version 2.24.0
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 YAML Deserialization Vulnerability in GoogleAuth
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.
Object-level permission bypass in Nautobot JobButton Jobs prior to 1.6.8 and 2.1.0
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
Reflected XSS vulnerability in dpaste API expires parameter
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.
Introducing the "VAITP dataset": a specialized repository of Python vulnerabilities and patches, meticulously compiled for the use of the security research community. As Python's prominence grows, understanding and addressing potential security vulnerabilities become crucial. Crafted by and for the cybersecurity community, this dataset offers a valuable resource for researchers, analysts, and developers to analyze and mitigate the security risks associated with Python. Through the comprehensive exploration of vulnerabilities and corresponding patches, the VAITP dataset fosters a safer and more resilient Python ecosystem, encouraging collaborative advancements in programming security.
The supreme art of war is to subdue the enemy without fighting.
Sun Tzu – “The Art of War”
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