CVE-2026-22807

A flaw was found in vLLM, an inference and serving engine for large language models LLMs. This vulnerability allows a remote attacker to achieve arbitrary code execution on the vLLM host during model loading. This occurs because vLLM loads Hugging Face automap dynamic modules without properly...

Azure Linux 3.0 Security Update: keras (CVE-2025-1550)

The version of keras installed on the remote Azure Linux 3.0 host is prior to tested version. It is, therefore, affected by a vulnerability as referenced in the CVE-2025-1550 advisory. - The Keras Model.loadmodel function permits arbitrary code execution, even with safemode=True, through a manual...

vLLM code injection vulnerability

vLLM is an open-source LLM-based inference and service engine that features high throughput and efficient memory usage. Versions of vLLM from 0.10.1 to 0.14.0 contained a code injection vulnerability. This vulnerability stemmed from the loading of the Hugging Face automap dynamic module during...

Security Bulletin: A vulnerability in Watson NLP affects IBM Robotic Process Automation which may result in arbitrary code execution (CVE-2025-1550).

Summary A vulnerability in Watson NLP affects IBM Robotic Process Automation which may result in arbitrary code execution. Watson NLP is used by IBM Robotic Process Automation for Natural Language Processing. This bulletin identifies the fixes required to address the vulnerablity. Vulnerability...

MessagePack for Java Vulnerable to Remote DoS via Malicious EXT Payload Allocation

Summary Affected Components: org.msgpack.core.MessageUnpacker.readPayload org.msgpack.core.MessageUnpacker.unpackValue org.msgpack.value.ExtensionValue.getData A denial-of-service vulnerability exists in MessagePack for Java when deserializing .msgpack files containing EXT32 objects with...

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 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

CVE-2026-21452 affects MessagePack for Java prior to 0.9.11. During deserialization of .msgpack files containing EXT32 objects with attacker-controlled payload lengths, ExtensionValue.getData() allocates a byte array based on the declared length without upper-bound checks, enabling remote DoS via...

PT-2026-1132

Name of the Vulnerable Software and Affected Versions MessagePack for Java versions prior to 0.9.11 Description A denial-of-service issue exists in MessagePack for Java when processing .msgpack files. Specifically, versions before 0.9.11 are susceptible to unbounded heap allocation when...

Security Bulletin: Arbitrary Code Execution in Keras

Summary Keras is used by many machine learning frameworks and applications as part of their deep learning infrastructure. Remote attackers can execute arbitrary code, leading to full system compromise, data breaches, and potential lateral movement where the identified vulnerability is present...

📄 Keras 2.15 Insecure Deserialization

Keras version 2.15 insecure deserialization proof of concept exploit. A security issue in certain versions of Keras allows attackers to craft a malicious model file typically a .keras or HDF5-based model containing unsafe serialization primitives. When such a model is loaded, the deserialization...

CVE-2025-33212

NVIDIA NeMo Framework contains a vulnerability in model loading that could allow an attacker to exploit improper control mechanisms if a user loads a maliciously crafted file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, denial of service, and...

EUVD-2025-203816

NVIDIA NeMo Framework contains a vulnerability in model loading that could allow an attacker to exploit improper control mechanisms if a user loads a maliciously crafted file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, denial of service, and...

CVE-2025-33212

NVIDIA NeMo Framework contains a vulnerability in model loading that could allow an attacker to exploit improper control mechanisms if a user loads a maliciously crafted file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, denial of service, and...

CVE-2025-33212

NVIDIA NeMo Framework contains a vulnerability in model loading that could allow an attacker to exploit improper control mechanisms if a user loads a maliciously crafted file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, denial of service, and...

CVE-2025-33212

NVIDIA NeMo Framework contains a vulnerability in model loading that could allow an attacker to exploit improper control mechanisms if a user loads a maliciously crafted file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, denial of service, and...

CVE-2025-33212

NVIDIA NeMo Framework contains a vulnerability in model loading that could allow an attacker to exploit improper control mechanisms if a user loads a maliciously crafted file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, denial of service, and...

NVIDIA Nemo Framework 代码问题漏洞

NVIDIA Nemo Framework is a framework for building and deploying generative AI models from NVIDIA. The NVIDIA NeMo Framework contains a security vulnerability that can be exploited by attackers to cause code execution, elevation of privilege, denial of service, and data tampering...

PT-2025-51759

NVIDIA NeMo Framework contains a vulnerability in model loading that could allow an attacker to exploit improper control mechanisms if a user loads a maliciously crafted file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, denial of service, and...

Server-Side Request Forgery (SSRF)

Keras is vulnerable to Server-Side Request Forgery SSRF. The vulnerability is due to improper handling of the StringLookup layer during model loading from a crafted .keras archive, which allows an attacker to supply local or remote file paths as vocabulary inputs and exploit tf.io.gfile behavior ...