Tryton trytond before 7.6.11 allows remote attackers to obtain sensitive trace-back (server setup) information. This is fixed in 7.6.11, 7.4.21, 7.0.40, and 6.0.70.
Werkzeug safe_join() allows Windows special device names
Werkzeug is a comprehensive WSGI web application library. Prior to version 3.1.4, Werkzeug's safe_join function allows path segments with Windows device names. On Windows, there are special device names such as CON, AUX, etc that are implicitly present and readable in every directory. send_from_directory uses safe_join to safely serve files at user-specified paths under a directory. If the application is running on Windows, and the requested path ends with a special device name, the file will be opened successfully, but reading will hang indefinitely. This issue has been patched in version 3.1.4.
fontTools is Vulnerable to Arbitrary File Write and XML injection in fontTools.varLib
fontTools is a library for manipulating fonts, written in Python. In versions from 4.33.0 to before 4.60.2, the fonttools varLib (or python3 -m fontTools.varLib) script has an arbitrary file write vulnerability that leads to remote code execution when a malicious .designspace file is processed. The vulnerability affects the main() code path of fontTools.varLib, used by the fonttools varLib CLI and any code that invokes fontTools.varLib.main(). This issue has been patched in version 4.60.2.
Peppol-py before 1.1.1 allows XXE attacks because of the Saxon configuration. When validating XML-based invoices, the XML parser could read files from the filesystem and expose their content to a remote host.
Emails sent by pretix can utilize placeholders that will be filled with customer data. For example, when {name} is used in an email template, it will be replaced with the buyer's name for the final email. If the name of the attendee contained HTML or Markdown formatting, this was rendered as HTML in the resulting email. This way, a user could inject links or other formatted text through a maliciously formatted name. Since pretix applies a strict allow list approach to allowed HTML tags, this could not be abused for XSS or similarly dangerous attack chains. However, it can be used to manipulate emails in a way that makes user-provided content
Spotipy has a XSS vulnerability in OAuth callback server
Spotipy is a Python library for the Spotify Web API. Prior to version 2.25.2, there is a cross-site scripting (XSS) vulnerability in the OAuth callback server that allows for JavaScript injection through the unsanitized error parameter. Attackers can execute arbitrary JavaScript in the user's browser during OAuth authentication. This issue has been patched in version 2.25.2.
Ray is vulnerable to RCE via Safari & Firefox Browsers through DNS Rebinding Attack
Ray is an AI compute engine. Prior to version 2.52.0, developers working with Ray as a development tool can be exploited via a critical RCE vulnerability exploitable via Firefox and Safari. This vulnerability is due to an insufficient guard against browser-based attacks, as the current defense uses the User-Agent header starting with the string "Mozilla" as a defense mechanism. This defense is insufficient as the fetch specification allows the User-Agent header to be modified. Combined with a DNS rebinding attack against the browser, and this vulnerability is exploitable against a developer running Ray who inadvertently visits a malicious web
Python-mistralclient: mistral-dashboard: local file inclusion through the 'create workbook' feature
The mistral-dashboard plugin for openstack has a local file inclusion vulnerability through the 'Create Workbook' feature that may result in disclosure of arbitrary local files content.
An issue was discovered in Overhang.IO (tutor-open-edx) (overhangio/tutor) 20.0.2 allowing local unauthorized attackers to gain access to sensitive information due to the absence of proper cache-control HTTP headers and client-side session checks.
pypdf manipulated LZWDecode streams can exhaust RAM
pypdf is a free and open-source pure-python PDF library. Prior to version 6.4.0, an attacker who uses this vulnerability can craft a PDF which leads to a memory usage of up to 1 GB per stream. This requires parsing the content stream of a page using the LZWDecode filter. This issue has been patched in version 6.4.0.
Fugue is Vulnerable to Remote Code Execution by Pickle Deserialization via FlaskRPCServer
Fugue is a unified interface for distributed computing that lets users execute Python, Pandas, and SQL code on Spark, Dask, and Ray with minimal rewrites. In version 0.9.2 and prior, there is a remote code execution vulnerability by pickle deserialization via FlaskRPCServer. The Fugue framework implements an RPC server system for distributed computing operations. In the core functionality of the RPC server implementation, I found that the _decode() function in fugue/rpc/flask.py directly uses cloudpickle.loads() to deserialize data without any sanitization. This creates a remote code execution vulnerability when malicious pickle data is proce
OMERO.web uses jquery-form library, which may be vulnerable to XSS attack
### Impact
OMERO.web uses the jquery-form library throughout to handle form submission and response processing. Due to some unpatched potential vulnerabilities in jquery-form, OMERO.web 5.29.2 and earlier may be susceptible to XSS attacks.
### Patches
User should upgrade OMERO.web to 5.29.3 or higher.
### Workarounds
None.
### Resources
https://github.com/jquery-form/form/issues/604
Keylime: keylime: registrar allows identity takeover via duplicate uuid registration
A vulnerability has been identified in keylime where an attacker can exploit this flaw by registering a new agent using a different Trusted Platform Module (TPM) device but claiming an existing agent's unique identifier (UUID). This action overwrites the legitimate agent's identity, enabling the attacker to impersonate the compromised agent and potentially bypass security controls.
LangChain Vulnerable to Template Injection via Attribute Access in Prompt Templates
LangChain is a framework for building agents and LLM-powered applications. From versions 0.3.79 and prior and 1.0.0 to 1.0.6, a template injection vulnerability exists in LangChain's prompt template system that allows attackers to access Python object internals through template syntax. This vulnerability affects applications that accept untrusted template strings (not just template variables) in ChatPromptTemplate and related prompt template classes. This issue has been patched in versions 0.3.80 and 1.0.7.
MLX is an array framework for machine learning on Apple silicon. Prior to version 0.29.4, there is a segmentation fault in mlx::core::load_gguf() when loading malicious GGUF files. Untrusted pointer from external gguflib library is dereferenced without validation, causing application crash. This issue has been patched in version 0.29.4.
MLX is an array framework for machine learning on Apple silicon. Prior to version 0.29.4, there is a heap buffer overflow in mlx::core::load() when parsing malicious NumPy .npy files. Attacker-controlled file causes 13-byte out-of-bounds read, leading to crash or information disclosure. This issue has been patched in version 0.29.4.
vLLM vulnerable to DoS with incorrect shape of multimodal embedding inputs
vLLM is an inference and serving engine for large language models (LLMs). From version 0.5.5 to before 0.11.1, users can crash the vLLM engine serving multimodal models by passing multimodal embedding inputs with correct ndim but incorrect shape (e.g. hidden dimension is wrong), regardless of whether the model is intended to support such inputs (as defined in the Supported Models page). This issue has been patched in version 0.11.1.
vLLM vulnerable to DoS via large Chat Completion or Tokenization requests with specially crafted `chat_template_kwargs`
vLLM is an inference and serving engine for large language models (LLMs). From version 0.5.5 to before 0.11.1, the /v1/chat/completions and /tokenize endpoints allow a chat_template_kwargs request parameter that is used in the code before it is properly validated against the chat template. With the right chat_template_kwargs parameters, it is possible to block processing of the API server for long periods of time, delaying all other requests. This issue has been patched in version 0.11.1.
VLLM deserialization vulnerability leading to DoS and potential RCE
vLLM is an inference and serving engine for large language models (LLMs). From versions 0.10.2 to before 0.11.1, a memory corruption vulnerability could lead to a crash (denial-of-service) and potentially remote code execution (RCE), exists in the Completions API endpoint. When processing user-supplied prompt embeddings, the endpoint loads serialized tensors using torch.load() without sufficient validation. Due to a change introduced in PyTorch 2.8.0, sparse tensor integrity checks are disabled by default. As a result, maliciously crafted tensors can bypass internal bounds checks and trigger an out-of-bounds memory write during the call to to
authentik deactivated service accounts can authenticate to OAuth
authentik is an open-source Identity Provider. Prior to versions 2025.8.5 and 2025.10.2, when authenticating with client_id and client_secret to an OAuth provider, authentik creates a service account for the provider. In previous authentik versions, authentication for this account was possible even when the account was deactivated. Other permissions are correctly applied and federation with other providers still take assigned policies correctly into account. authentik versions 2025.8.5 and 2025.10.2 fix this issue. A workaround involves adding a policy to the application that explicitly checks if the service account is still valid, and deny a