VAITP

A Denial of Service (DoS) vulnerability exists in the jaraco/zipp library, affecting all versions prior to 3.19.1. The vulnerability is triggered when processing a specially crafted zip file that leads to an infinite loop. This issue also impacts the zipfile module of CPython, as features from the third-party zipp library are later merged into CPython, and the affected code is identical in both projects. The infinite loop can be initiated through the use of functions affecting the `Path` module in both zipp and zipfile, such as `joinpath`, the overloaded division operator, and `iterdir`. Although the infinite loop is not resource exhaustive, it prevents the application from responding. The vulnerability was addressed in version 3.19.1 of jaraco/zipp.

A remote code execution vulnerability exists in the create_conda_env function of the parisneo/lollms repository, version 5.9.0. The vulnerability arises from the use of shell=True in the subprocess.Popen function, which allows an attacker to inject arbitrary commands by manipulating the env_name and python_version parameters. This issue could lead to a serious security breach as demonstrated by the ability to execute the 'whoami' command among potentially other harmful commands.

Vyper is a pythonic Smart Contract Language for the Ethereum virtual machine. In versions 0.3.10 and prior, using the `sqrt` builtin can result in double eval vulnerability when the argument has side-effects. It can be seen that the `build_IR` function of the `sqrt` builtin doesn't cache the argument to the stack. As such, it can be evaluated multiple times (instead of retrieving the value from the stack). No vulnerable production contracts were found. Additionally, double evaluation of side-effects should be easily discoverable in client tests. As such, the impact is low. As of time of publication, no fixed versions are available.

Vyper is a pythonic Smart Contract Language for the Ethereum virtual machine. In versions 0.3.10 and prior, using the `create_from_blueprint` builtin can result in a double eval vulnerability when `raw_args=True` and the `args` argument has side-effects. It can be seen that the `_build_create_IR` function of the `create_from_blueprint` builtin doesn't cache the mentioned `args` argument to the stack. As such, it can be evaluated multiple times (instead of retrieving the value from the stack). No vulnerable production contracts were found. Additionally, double evaluation of side-effects should be easily discoverable in client tests. As such, the impact is low. As of time of publication, no fixed versions exist.

Vyper is a pythonic Smart Contract Language for the Ethereum virtual machine. In versions 0.3.10 and prior, incorrect values can be logged when `raw_log` builtin is called with memory or storage arguments to be used as topics. A contract search was performed and no vulnerable contracts were found in production. The `build_IR` function of the `RawLog` class fails to properly unwrap the variables provided as topics. Consequently, incorrect values are logged as topics. As of time of publication, no fixed version is available.

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.

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`.

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 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.