VAITP

SpeechBrain before 1.1.1 contains an arbitrary code execution vulnerability that allows attackers to execute arbitrary code by supplying a crafted CKPT.yaml checkpoint metadata file parsed with PyYAML's unsafe loader during candidate enumeration in Checkpointer.recover_if_possible(). Attackers can embed malicious Python object construction tags such as !!python/object/apply in any CKPT.yaml file within the configured checkpoint path to trigger code execution during candidate discovery, even if the malicious checkpoint is never selected for recovery.

NLTK before 3.10.3 contains an uncontrolled recursion vulnerability in nltk.featstruct.FeatStructReader that allows unauthenticated attackers to cause a denial of service by supplying deeply nested feature-structure input. Attackers can craft trivial payloads with nested brackets that exceed Python's recursion limit and raise an unhandled RecursionError, crashing applications that parse user-supplied feature structures or feature grammars.

ToolUniverse ran caller-supplied Python inside a sandbox that could be escaped, on a server that required no authentication. The executor behind the python_code_executor tool, in python_executor_tool.py, inspected the submitted source for a denied list of attribute names and calls but left the attribute-lookup builtins available and did not stop a dunder attribute reached through a string lookup or through a module already permitted, so a caller could walk from a literal's class to its base and enumerate subclasses to obtain a reference to the process and subprocess modules. A per-call argument also let the caller widen the import allow-list before the inspection ran. The HTTP and MCP servers in http_api_server.py and smcp_server.py bound to every interface with debugging enabled and no authentication, so any caller able to reach the port executed code as the server process. Version 1.3.0 adds bearer-token authentication, defaults the bind address to loopback, and hardens the attribute checks.

Affected versions of Flowintel improperly trust configuration keys supplied to the alerts settings update endpoint. While configuration values were normalized to Python literals, the corresponding keys were used directly when constructing and replacing lines in conf/config_module.py. The vulnerable code used requester-controlled keys in both the regular expression and the generated assignment: f'{key} = {py_val}' and appended an assignment if the key was not already present. The modified Python configuration module was subsequently reloaded using importlib.reload(). This creates a code-generation boundary in which specially crafted configuration keys can alter the Python source structure and result in execution of attacker-controlled Python statements. Version impacted >=3.3.0

Frappe is a full-stack web application framework written in Python and JavaScript. Prior to version 15.115.0, an access control bypass in the REST API allows a user to read data from Linked DocTypes that they are not authorized to access. When a document references another document through a Link field, the framework does not consistently enforce the linked DocType's own permissions when the record is retrieved through the REST API, so a low-privileged authenticated user can obtain fields from linked records outside their permitted scope. This issue is fixed in version 15.115.0.

whichllm before 0.5.16 contains a code injection vulnerability in the run and snippet commands that allows a remote attacker who controls a HuggingFace repository to achieve arbitrary code execution by crafting a malicious GGUF filename containing double quotes or other special characters. The script generation function in cli.py interpolates HuggingFace-derived values, including GGUF variant filenames from the Hub API siblings rfilename field, directly into Python source code without escaping, allowing the crafted filename to break out of the generated string literal and execute injected code on the user's machine before any model download occurs.

SENAITE.CORE is the core framework for the SENAITE laboratory information management system. From 2.0.0 to 2.6.0, the SENAITE.CORE JSON API permits unauthenticated remote code execution through a two-request chain involving missing authorization and unsafe evaluation. The state-changing routes in src/bika/lims/jsonapi/update.py, including update, update_many, remove, doActionFor, doActionFor_many, and getusers, do not enforce the senaite.core: Access JSON API permission before resolving attacker-selected objects. In src/bika/lims/jsonapi/init.py, set_fields_from_request passes raw request values for RecordsField and RecordField instances to eval() before field mutator write-permission checks execute. An anonymous attacker can discover the bika_setup object identifier through @@uuid, send a value such as RejectionReasons to /@@API/update, and execute arbitrary Python in the Zope worker before a later mutation failure rolls back ZODB changes. The same unsafe evaluation pattern is present in src/senaite/core/browser/fields/record.py and src/senaite/core/browser/fields/records.py. Successful exploitation can expose or modify laboratory data, files, and accounts and can disrupt the service.

Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection') in the default lf.query Python protocol in Google langfun versions prior to 0.1.2 allows remote unauthenticated attackers to execute arbitrary Python code in the context of the host application via crafted prompt inputs that cause the model to generate executable Python expressions evaluated without a sandbox.

Starlette-Admin is a fast, beautiful and extensible administrative interface framework for FastAPI and Starlette applications. Prior to 0.16.1, the list API does not validate user-supplied order_by and structured where field names against the configured sortable_fields and searchable_fields allowlists. An authenticated user with access to an affected list endpoint can submit arbitrary field names to starlette_admin/base.py and the BaseModelView validation path, bypassing restrictions presented by the administrative user interface. Requests can sort or filter on fields that are not intended to be sortable or searchable, causing limited information exposure. Invalid field names and special Python attribute names such as metadata and the class dunder attribute can also trigger unhandled exceptions and HTTP 500 responses, causing limited denial of service for targeted requests. This issue is fixed in version 0.16.1.

NLTK before 3.10.3 contains a regular expression denial of service (ReDoS) vulnerability in the tgrep module. The _tgrep_node_action function compiles user-supplied regular expressions embedded in /regex/ pattern nodes and executes them via re.search against tree node labels without any validation or timeout. An attacker who controls the tgrep pattern (e.g., via tgrep_positions() or tgrep_compile() exposed to external input) can supply a pattern that triggers catastrophic backtracking, causing indefinite CPU saturation that blocks the Python process.