PYSEC-2026-405 Ludwig framework is vulnerable to insecure deserialization in its model serving component

The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization CWE-502 in its model serving component. When starting a model server with the ludwig serve command, the framework loads model weight files using torch.load without enabling the security-restrictive weightsonly=True...

PYSEC-2026-462 PraisonAI Vulnerable to Remote Code Execution via YAML Deserialization in Agent Definition Loading

Summary The AgentService.loadAgentFromFile method uses the js-yaml library to parse YAML files without disabling dangerous tags such as !!js/function and !!js/undefined. This allows an attacker to craft a malicious YAML file that, when parsed, executes arbitrary JavaScript code. An attacker can...

PYSEC-2026-458 Pipecat: Remote Code Execution by Pickle Deserialization Through LivekitFrameSerializer

Remote Code Execution via Unsafe Deserialization in Pipecat's LivekitFrameSerializer Summary A critical vulnerability exists in Pipecat's LivekitFrameSerializer – an optional, non-default, undocumented frame serializer class now deprecated intended for LiveKit integration. The class's deserialize...

PYSEC-2026-539 SGLang's multimodal generation module is vulnerable to unauthenticated remote code execution through the ZMQ broker

SGLang's multimodal generation module is vulnerable to unauthenticated remote code execution through the ZMQ broker, which deserializes untrusted data using pickle.loads without authentication...

PYSEC-2026-537 SGLang's encoder parallel disaggregation system is vulnerable to unauthenticated remote code execution through the disaggregation module

SGLang's encoder parallel disaggregation system is vulnerable to unauthenticated remote code execution through the disaggregation module, which deserializes untrusted data using pickle.loads without authentication...

PYSEC-2026-547 Deserialization of untrusted data in synthcity

A vulnerability, which was classified as critical, has been found in vanderSchaar LAB synthcity 0.2.9. Affected by this issue is the function loadfromfile of the component PKL File Handler. The manipulation leads to deserialization. The attack may be launched remotely. The exploit has been...

PYSEC-2026-393 Unsafe yaml deserialization in llama-hub

The OpenAPI and ChatGPT plugin loaders in LlamaHub aka llama-hub before 0.0.67 allow attackers to execute arbitrary code because safeload is not used for YAML...

PYSEC-2026-352 H2O.ai H2O vulnerable to deserialization attacks via a JDBC Connection URL

H2O.ai H2O through 3.46.0.4 allows attackers to arbitrarily set the JDBC URL, leading to deserialization attacks, file reads, and command execution. Exploitation can occur when an attacker has access to post to the ImportSQLTable URI with a JSON document containing a connectionurl property with a...

PYSEC-2026-296 Insecure deserialization in BentoML

An insecure deserialization vulnerability exists in the BentoML framework, allowing remote code execution RCE by sending a specially crafted POST request. By exploiting this vulnerability, attackers can execute arbitrary commands on the server hosting the BentoML application. The vulnerability is...

PYSEC-2026-453 pgAdmin 4 vulnerable to Unsafe Deserialization and Remote Code Execution by an Authenticated user

pgAdmin prior to version 8.4 is affected by a path-traversal vulnerability while deserializing users’ sessions in the session handling code. If the server is running on Windows, an unauthenticated attacker can load and deserialize remote pickle objects and gain code execution. If the server is...

PYSEC-2026-543 Hugging Face smolagents: Unsafe deserialization in Remote Python Executor leads to RCE

Hugging Face smolagents Remote Python Executor Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face smolagents. Authentication is not required to exploit this...

PYSEC-2026-491 Apache Pyfory python is vulnerable to deserialization of untrusted data

Deserialization of untrusted data in python in pyfory versions 0.12.0 through 0.12.2, or the legacy pyfury versions from 0.1.0 through 0.10.3: allows arbitrary code execution. An application is vulnerable if it reads pyfory serialized data from untrusted sources. An attacker can craft a data stre...

PYSEC-2026-503 pyquokka is Vulnerable to Remote Code Execution by Pickle Deserialization via FlightServer

Description In the FlightServer class of the pyquokka framework, the doaction method directly uses pickle.loads to deserialize action bodies received from Flight clients without any sanitization or validation, which results in a remote code execution vulnerability. The vulnerable code is located...

PYSEC-2026-368 Keras framework vulnerable to deserialization of untrusted data

Deserialization of untrusted data can occur in versions of the Keras framework running versions 3.11.0 up to but not including 3.11.3, enabling a maliciously uploaded Keras file containing a TorchModuleWrapper class to run arbitrary code on an end user’s system when loaded despite safe mode being...

PYSEC-2026-349 H2O affected by a deserialization vulnerability

A deserialization vulnerability exists in h2oai/h2o-3 versions = 3.46.0.7, allowing attackers to read arbitrary system files and execute arbitrary code. The vulnerability arises from improper handling of JDBC connection parameters, which can be exploited by bypassing regular expression checks and...

PYSEC-2026-327 DeepDiff Class Pollution in Delta class leading to DoS, Remote Code Execution, and more

Summary Python class pollution is a novel vulnerability categorized under CWE-915. The Delta class is vulnerable to class pollution via its constructor, and when combined with a gadget available in DeltaDiff itself, it can lead to Denial of Service and Remote Code Execution via insecure Pickle...

PYSEC-2026-490 Apache Pyfory python is vulnerable to deserialization of untrusted data

Deserialization of untrusted data in python in pyfory versions 0.12.0 through 0.12.2, or the legacy pyfury versions from 0.1.0 through 0.10.3: allows arbitrary code execution. An application is vulnerable if it reads pyfory serialized data from untrusted sources. An attacker can craft a data stre...

PYSEC-2026-427 Modular Max Serve has Unsafe Deserialization vulnerability

Unsafe Deserialization vulnerability in Modular Max Serve before 25.6, specifically when the "--experimental-enable-kvcache-agent" feature is used allowing attackers to execute arbitrary code...

PYSEC-2026-566 vLLM Deserialization of Untrusted Data vulnerability

vllm-project vllm version v0.6.2 contains a vulnerability in the MessageQueue.dequeue API function. The function uses pickle.loads to parse received sockets directly, leading to a remote code execution vulnerability. An attacker can exploit this by sending a malicious payload to the MessageQueue,...

PYSEC-2026-351 H2O Deserialization of Untrusted Data Vulnerability

A vulnerability in the h2oai/h2o-3 REST API versions 3.46.0.4 allows unauthenticated remote attackers to execute arbitrary code via deserialization of untrusted data. The vulnerability exists in the endpoints POST /99/ImportSQLTable and POST /3/SaveToHiveTable, where user-controlled JDBC URLs are...