PT-2026-27843

CVE-2026-23971 Deserialization of Untrusted Data vulnerability in xtemos WoodMart woodmart allows Object Injection.This issue affects WoodMart: from n/a through = 8.3.8. https://t.co/0me4zW3qJ4...

PT-2026-27831

Name of the Vulnerable Software and Affected Versions AncoraThemes Melody versions n/a through 1.6.3 Description A flaw exists in the deserialization of untrusted data within AncoraThemes Melody melodyschool, potentially allowing for object injection. This issue could allow an attacker to inject...

Wazuh Server 4.0.0 < 4.14.3 RCE

The version of Wazuh Server on the remote host is at least 4.0.0 and prior to 4.14.3. It is, therefore, affected by a remote code execution vulnerability: - A deserialization of untrusted data vulnerability exists in Wazuh's cluster mode master/worker architecture. An attacker who gains access to...

Deserialization of Untrusted Data

Overview megatron-core is a Megatron Core - a library for efficient and scalable training of transformer based models Affected versions of this package are vulnerable to Deserialization of Untrusted Data via the hybrid conversion script. An attacker can execute arbitrary code, escalate privileges...

Deserialization of Untrusted Data

Overview megatron-core is a Megatron Core - a library for efficient and scalable training of transformer based models Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the quantization configuration loading process. An attacker can execute arbitrary code,...

Deserialization of Untrusted Data

Overview megatron-core is a Megatron Core - a library for efficient and scalable training of transformer based models Affected versions of this package are vulnerable to Deserialization of Untrusted Data via the inferencing process. An attacker can execute arbitrary code, escalate privileges,...

Deserialization of Untrusted Data

Overview megatron-core is a Megatron Core - a library for efficient and scalable training of transformer based models Affected versions of this package are vulnerable to Deserialization of Untrusted Data through the checkpoint loading process. An attacker can execute arbitrary code, escalate...

Deserialization of Untrusted Data

Overview megatron-core is a Megatron Core - a library for efficient and scalable training of transformer based models Affected versions of this package are vulnerable to Deserialization of Untrusted Data through the checkpoint loading process. An attacker can execute arbitrary code, escalate...

Deserialization of Untrusted Data

Overview nemo-toolkit is a NeMo - a toolkit for Conversational AI Affected versions of this package are vulnerable to Deserialization of Untrusted Data through the torch.load checkpoint and model import paths in the nemo collections and checkpoint utilities. An attacker can execute arbitrary code...

EUVD-2026-15003

NVIDIA Model Optimizer for Windows and Linux contains a vulnerability in the ONNX quantization feature, where a user could cause unsafe deserialization by providing a specially crafted input file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges,...

EUVD-2025-208972

NVIDIA APEX for Linux contains a vulnerability where an unauthorized attacker could cause a deserialization of untrusted data. This vulnerability affects environments that use PyTorch versions earlier than 2.6. A successful exploit of this vulnerability might lead to code execution, denial of...

Deserialization of Untrusted Data

Overview nemo-toolkit is a NeMo - a toolkit for Conversational AI Affected versions of this package are vulnerable to Deserialization of Untrusted Data the HFCheckpointIO checkpoint-loading process in nemo/lightning/io/hf.py. An attacker can execute arbitrary code on the victim system by supplyin...

CVE-2026-24141

NVIDIA Model Optimizer for Windows and Linux contains a vulnerability in the ONNX quantization feature, where a user could cause unsafe deserialization by providing a specially crafted input file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges,...

CVE-2025-33244

NVIDIA APEX for Linux contains a vulnerability where an unauthorized attacker could cause a deserialization of untrusted data. This vulnerability affects environments that use PyTorch versions earlier than 2.6. A successful exploit of this vulnerability might lead to code execution, denial of...

CVE-2026-24141

NVIDIA Model Optimizer for Windows and Linux contains a vulnerability in the ONNX quantization feature, where a user could cause unsafe deserialization by providing a specially crafted input file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges,...

CVE-2026-24141

NVIDIA Model Optimizer for Windows and Linux contains a vulnerability in the ONNX quantization feature, where a user could cause unsafe deserialization by providing a specially crafted input file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges,...

CVE-2026-24141

CVE-2026-24141 affects NVIDIA Model Optimizer for Windows and Linux, where the ONNX quantization feature allows unsafe deserialization via a crafted input file. This can lead to code execution, escalation of privileges, data tampering, and information disclosure. NVIDIA states affected versions a...

CVE-2026-24141

NVIDIA Model Optimizer for Windows and Linux contains a vulnerability in the ONNX quantization feature, where a user could cause unsafe deserialization by providing a specially crafted input file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges,...

CVE-2025-33244

NVIDIA APEX for Linux contains a vulnerability where an unauthorized attacker could cause a deserialization of untrusted data. This vulnerability affects environments that use PyTorch versions earlier than 2.6. A successful exploit of this vulnerability might lead to code execution, denial of...

CVE-2025-33244

NVIDIA APEX for Linux contains a vulnerability where an unauthorized attacker could cause a deserialization of untrusted data. This vulnerability affects environments that use PyTorch versions earlier than 2.6. A successful exploit of this vulnerability might lead to code execution, denial of...