DEBIAN-CVE-2026-21452

MessagePack for Java is a serializer implementation for Java. A denial-of-service vulnerability exists in versions prior to 0.9.11 when deserializing .msgpack files containing EXT32 objects with attacker-controlled payload lengths. While MessagePack-Java parses extension headers lazily, it later...

CVE-2026-21452 MessagePack-Java Vulnerable to Remote Denial of Service via Malicious .msgpack Model File Triggering Unbounded EXT Payload Allocation

MessagePack for Java is a serializer implementation for Java. A denial-of-service vulnerability exists in versions prior to 0.9.11 when deserializing .msgpack files containing EXT32 objects with attacker-controlled payload lengths. While MessagePack-Java parses extension headers lazily, it later...

CVE-2026-21452 MessagePack-Java Vulnerable to Remote Denial of Service via Malicious .msgpack Model File Triggering Unbounded EXT Payload Allocation

MessagePack for Java is a serializer implementation for Java. A denial-of-service vulnerability exists in versions prior to 0.9.11 when deserializing .msgpack files containing EXT32 objects with attacker-controlled payload lengths. While MessagePack-Java parses extension headers lazily, it later...

PYSEC-2025-212

Hugging Face Transformers Transformer-XL Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this...

CVE-2025-14921

CVE-2025-14921 affects Hugging Face Transformers (Transformer-XL) with a flaw in parsing Transformer-XL model files that fails to validate untrusted input, enabling deserialization of untrusted data and remote code execution. The underlying cause is insufficient validation during model-file parsi...

CVE-2024-12029 Remote Code Execution via Model Deserialization in invoke-ai/invokeai

A remote code execution vulnerability exists in invoke-ai/invokeai versions 5.3.1 through 5.4.2 via the /api/v2/models/install API. The vulnerability arises from unsafe deserialization of model files using torch.load without proper validation. Attackers can exploit this by embedding malicious cod...

Invoke 安全漏洞

Invoke is a leading creative engine for stabilizing diffusion models open-sourced by InvokeAI. A security vulnerability exists in Invoke versions 5.3.1 through 5.4.2, which stems from improper deserialization of model files and could lead to remote code execution...

InvokeAI Remote Code Execution Exploit

InvokeAI has a critical vulnerability leading to remote code execution in the /api/v2/models/install API through unsafe model deserialization. The API allows users to specify a model URL, which is downloaded and loaded server-side using torch.load without proper validation. This functionality...

InvokeAI Remote Code Execution

InvokeAI has a critical vulnerability leading to remote code execution in the /api/v2/models/install API through unsafe model deserialization. The API allows users to specify a model URL, which is downloaded and loaded server-side using torch.load without proper validation. This functionality...

InvokeAI RCE

InvokeAI has a critical vulnerability leading to remote code execution in the /api/v2/models/install API through unsafe model deserialization. The API allows users to specify a model URL, which is downloaded and loaded server-side using torch.load without proper validation. This functionality...

CVE-2021-37678

TensorFlow is an end-to-end open source platform for machine learning. In affected versions TensorFlow and Keras can be tricked to perform arbitrary code execution when deserializing a Keras model from YAML format. The implementation uses yaml.unsafeload which can perform arbitrary code execution...

CVE-2024-6960

The H2O machine learning platform uses "Iced" classes as the primary means of moving Java Objects around the cluster. The Iced format supports inclusion of serialized Java objects. When a model is deserialized, any class is allowed to be deserialized no class whitelist. An attacker can construct ...

CVE-2024-11393

Hugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability...

CVE-2024-11394

Hugging Face Transformers Trax Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in th...

CVE-2024-11394

Summary of affected IBM products and CVEs (CVE-2024-11392 / 11393 / 11394) Multiple IBM security bulletins report that Hugging Face Transformers deserialization vulnerabilities may allow remote code execution (RCE) when user-supplied model files are deserialized without proper validation. The CVE...

CVE-2024-11393

CVE-2024-11393 (MaskFormer) is a deserialization-based remote code execution in Hugging Face Transformers. The issue arises from untrusted data in model file parsing, enabling code execution on the caller’s context after user interaction. Public advisories in connected IBM/IBM Cloud Pak for Data ...

CVE-2024-11393 Hugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Execution Vulnerability

Hugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability...

Remote Code Execution via Model Deserialization on /api/v2/models/install API

Summary I have identified a critical vulnerability leading to remote code execution in the /api/v2/models/install API through unsafe model deserialization. The API allows users to specify a model URL, which is downloaded and loaded server-side using torch.load without proper validation. This...

PYSEC-2021-300

TensorFlow is an end-to-end open source platform for machine learning. In affected versions TensorFlow and Keras can be tricked to perform arbitrary code execution when deserializing a Keras model from YAML format. The implementation uses yaml.unsafeload which can perform arbitrary code execution...