Array index overflow in Vyper's `_abi_decode` can lead to exploits.
Vyper is a pythonic Smart Contract Language for the ethereum virtual machine. If an excessively large value is specified as the starting index for an array in `_abi_decode`, it can cause the read position to overflow. This results in the decoding of values outside the intended array bounds, potentially leading to exploitations in contracts that use arrays within `_abi_decode`. This vulnerability affects 0.3.10 and earlier versions.
Vyper is a pythonic Smart Contract Language for the ethereum virtual machine. When using the built-in `extract32(b, start)`, if the `start` index provided has for side effect to update `b`, the byte array to extract `32` bytes from, it could be that some dirty memory is read and returned by `extract32`. This vulnerability is fixed in 0.4.0.
Binding to INADDR_ANY exposes applications, risking unauthorized access.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications. Prior to versions 1.6.15, 1.7.15, and 1.8.1, Binding to `INADDR_ANY (0.0.0.0)` or `IN6ADDR_ANY (::)` exposes an application on all network interfaces, increasing the risk of unauthorized access. As stated in the Python docs, a special form for address is accepted instead of a host address: `''` represents `INADDR_ANY`, equivalent to `"0.0.0.0"`. On systems with IPv6, '' represents `IN6ADDR_ANY`, which is equivalent to `"::"`. A user who serves docs on an unsecured public network, may unknowingly be hosting an unsecured (http) web site for any remote user/system to access on the same network. The issue has has been mitigated in dbt-core v1.6.15, dbt-core v1.7.15, and dbt-core v1.8.1 by binding to localhost explicitly by default in `dbt docs serve`.
Memory leak in aiohttp 3.10.6-3.10.10 allows server resource exhaustion.
aiohttp is an asynchronous HTTP client/server framework for asyncio and Python. In versions starting with 3.10.6 and prior to 3.10.11, a memory leak can occur when a request produces a MatchInfoError. This was caused by adding an entry to a cache on each request, due to the building of each MatchInfoError producing a unique cache entry. An attacker may be able to exhaust the memory resources of a server by sending a substantial number (100,000s to millions) of such requests. Those who use any middlewares with aiohttp.web should upgrade to version 3.10.11 to receive a patch.
Tornado's cookie parsing algorithm can lead to excessive CPU usage.
Tornado is a Python web framework and asynchronous networking library. The algorithm used for parsing HTTP cookies in Tornado versions prior to 6.4.2 sometimes has quadratic complexity, leading to excessive CPU consumption when parsing maliciously-crafted cookie headers. This parsing occurs in the event loop thread and may block the processing of other requests. Version 6.4.2 fixes the issue.
Request smuggling vulnerability in aiohttp prior to version 3.10.11.
aiohttp is an asynchronous HTTP client/server framework for asyncio and Python. Prior to version 3.10.11, the Python parser parses newlines in chunk extensions incorrectly which can lead to request smuggling vulnerabilities under certain conditions. If a pure Python version of aiohttp is installed (i.e. without the usual C extensions) or `AIOHTTP_NO_EXTENSIONS` is enabled, then an attacker may be able to execute a request smuggling attack to bypass certain firewalls or proxy protections. Version 3.10.11 fixes the issue.
CPython vulnerability allows ReDoS via excessive regex backtracking in tarfile.
There is a MEDIUM severity vulnerability affecting CPython. Regular expressions that allowed excessive backtracking during tarfile.TarFile header parsing are vulnerable to ReDoS via specifically-crafted tar archives.
lxml_html_clean prior to 0.4.0 allows XSS via improper tag handling.
lxml_html_clean is a project for HTML cleaning functionalities copied from `lxml.html.clean`. Prior to version 0.4.0, the HTML Parser in lxml does not properly handle context-switching for special HTML tags such as `<svg>`, `<math>` and `<noscript>`. This behavior deviates from how web browsers parse and interpret such tags. Specifically, content in CSS comments is ignored by lxml_html_clean but may be interpreted differently by web browsers, enabling malicious scripts to bypass the cleaning process. This vulnerability could lead to Cross-Site Scripting (XSS) attacks, compromising the security of users relying on lxml_html_clean in default configuration for sanitizing untrusted HTML content. Users employing the HTML cleaner in a security-sensitive context should upgrade to lxml 0.4.0, which addresses this issue. As a temporary mitigation, users can configure lxml_html_clean with the following settings to prevent the exploitation of this vulnerability. Via `remove_tags`, one may specify tags to remove - their content is moved to their parents' tags. Via `kill_tags`, one may specify tags to be removed completely. Via `allow_tags`, one may restrict the set of permissible tags, excluding context-switching tags like `<svg>`, `<math>` and `<noscript>`.
Arbitrary file upload vulnerability in user avatar function of python_book V1.0.
The user avatar upload function in python_book V1.0 has an arbitrary file upload vulnerability.
Unauthorized access in python_food V1.0 leaks sensitive user information.
The python_food ordering system V1.0 has an unauthorized vulnerability that leads to the leakage of sensitive user information. Attackers can access it through https://ip:port/api/myapp/index/user/info?id=1 And modify the ID value to obtain sensitive user information beyond authorization.
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”
:: Shaping the future through research and ingenuity ::