A flaw was found in pip, the package installer for Python. A remote attacker can exploit this vulnerability by tricking a victim into installing a malicious Python wheel. This wheel contains specially crafted entry-point names that use directory traversal or absolute paths. This allows pip to write generated script wrappers outside the intended installation directory, leading to arbitrary file overwrite. This can severely impact system integrity and availability, and in certain scenarios, may lead to arbitrary code execution.

A path traversal vulnerability was found in pulpcore. The relative_path_validator function only verifies that content paths do not begin with "/" but fails to block directory traversal sequences such as "../" anywhere in the path. An authenticated administrator can craft a relative_path containing embedded traversal sequences (e.g., "looking/normal/../../../../etc/shadow") that escapes the intended export directory during FilesystemExport operations. Because the file content is also user-controlled (uploaded artifact), this allows arbitrary file write to any location writable by the Pulp service user, potentially leading to service compromise or further system exploitation.

A flaw was found in golang.org/x/net/html. A remote attacker could exploit this vulnerability by providing specially crafted HTML. When this arbitrary HTML is parsed and rendered, it can result in an unexpected HTML tree, bypassing input sanitization. This can be leveraged to execute Cross-Site Scripting (XSS) attacks, potentially leading to arbitrary code execution in applications that use the affected component.

A flaw was found in golang.org/x/net/html. When arbitrary HTML is parsed and then rendered, it can result in an unexpected HTML tree. This allows an attacker to bypass HTML sanitization mechanisms, leading to Cross-Site Scripting (XSS) attacks in applications. Such attacks can result in information disclosure or arbitrary code execution.

A flaw was found in the `net` package of Go (golang), specifically when using the `LookupCNAME` function with the `cgo` DNS resolver. A remote attacker could exploit this by providing a very long Canonical Name (CNAME) response. This can trigger a double-free of C memory, leading to a crash and a Denial of Service (DoS) for the affected application.

A flaw was found in JWCrypto, a Python library for JSON Web Key (JWK), JSON Web Signature (JWS), and JSON Web Encryption (JWE) specifications. An unauthenticated attacker can exploit this vulnerability by sending specially crafted JWE tokens that use ZIP compression. While the input token size is limited, the decompressed output size is not validated, allowing an attacker to cause excessive memory consumption. This can lead to memory exhaustion on affected systems, resulting in a Denial of Service (DoS).

A flaw was found in golang.org/x/net/idna. ToASCII and ToUnicode incorrectly accept Punycode-encoded labels that decode to an ASCII-only hostname (for example, xn--example-.com returns example.com instead of an error). Applications that validate the ASCII form then convert to Unicode may grant access to a restricted hostname the ASCII check would have rejected.

A flaw was found in GitPython, a Python library used to interact with Git repositories. This vulnerability allows an attacker to achieve arbitrary command execution by providing specially crafted arguments (kwargs) to functions such as Repo.clone_from(), Remote.fetch(), Remote.pull(), or Remote.push(). This bypasses existing security checks designed to block dangerous Git options, enabling the execution of unauthorized commands.

A flaw was found in GitPython, a Python library for interacting with Git repositories. A remote attacker could exploit an input validation vulnerability in the `_clone()` function. By crafting a malicious string in the `multi_options` parameter, an attacker could bypass validation. This allows for the injection of arbitrary Git configurations, such as `core.hooksPath`, leading to the execution of attacker-controlled hooks and ultimately, arbitrary code execution during a clone operation.

A flaw was found in python-multipart. A remote attacker can exploit this denial of service (DoS) vulnerability by sending a specially crafted request with an excessive number of part headers or a single very large header value during multipart/form-data parsing. This can lead to excessive CPU utilization, resulting in a denial of service for the affected system.

A flaw was found in GitPython, a Python library used to interact with Git repositories. The `GitConfigParser.set_value()` function does not properly validate input for newlines. This vulnerability allows an attacker to inject malicious configuration settings, specifically the `core.hooksPath`, into a Git repository. Consequently, any Git operation that triggers hooks, such as committing or merging, could lead to arbitrary code execution from an attacker-controlled path.

A flaw was found in urllib3, an HTTP client library for Python. When using the low-level API via `ProxyManager.connection_from_url().urlopen()` with `assert_same_host=False`, cross-origin redirects can still forward sensitive headers. This could allow a remote attacker to gain unauthorized access to sensitive information.

A flaw was found in urllib3, an HTTP client library for Python. This vulnerability allows a remote attacker to cause excessive resource consumption, such as high CPU usage and massive memory allocation, on the client side. This occurs when urllib3 attempts to decompress an entire HTTP response, even if only a partial read was requested, or when draining the connection after a partial decompression. This can lead to a Denial of Service (DoS) condition.

A flaw was found in PyJWT, a Python library for JSON Web Token (JWT) implementation. When decoding JWTs, the library fails to validate the use of JSON Web Keys (JWK) in the HMAC algorithm while also supporting asymmetric algorithms. This allows a remote attacker to use the issuer's public key as the secret key for the HMAC algorithm, leading to the ability to forge JWTs. This vulnerability can result in authentication bypass or unauthorized access.

A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). This vulnerability, residing in ASGI web servers and Starlette's trust in them, allows an attacker to bypass the OpenAI API Authentication Middleware. This bypass enables unauthorized access to the API without requiring the configured VLLM_API_KEY or --api-key, leading to critical unauthorized operations.