NVFLARE Unsafe Deserialization

Exploit Title: NVFLARE 2.1.4 - Unsafe Deserialization due to Pickle Exploit Author: Elias Hohl Google Dork: N/A Date: 2022-06-21 Vendor Homepage: https://www.nvidia.com Software Link: https://github.com/NVIDIA/NVFlare Version: 2.1.4 Tested on: Ubuntu 20.04 CVE : CVE-2022-34668...

NVFLARE < 2.1.4 - Unsafe Deserialization due to Pickle Vulnerability

Exploit Title: NVFLARE 2.1.4 - Unsafe Deserialization due to Pickle Exploit Author: Elias Hohl Vendor Homepage: https://www.nvidia.com Software Link: https://github.com/NVIDIA/NVFlare Version: 2.1.4 Tested on: Ubuntu 20.04 CVE : CVE-2022-34668...

NVFLARE < 2.1.4 - Unsafe Deserialization due to Pickle

Exploit Title: NVFLARE 2.1.4 - Unsafe Deserialization due to Pickle Exploit Author: Elias Hohl Google Dork: N/A Date: 2022-06-21 Vendor Homepage: https://www.nvidia.com Software Link: https://github.com/NVIDIA/NVFlare Version: 2.1.4 Tested on: Ubuntu 20.04 CVE : CVE-2022-34668...

Unsafe Deserialization

NVFLARE is vulnerable to unsafe deserialization. The use of unsafe Pickle function allows an unprivileged network attacker to cause Remote Code Execution...

NVFLARE unsafe deserialization due to Pickle

Impact NVFLARE contains a vulnerability where deserialization of Untrusted Data due to Pickle usage may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity. All versions before 2.1.4 are affected. CVSS Score =...

GHSA-6QV6-Q77G-7QM6 NVFLARE unsafe deserialization due to Pickle

Impact NVFLARE contains a vulnerability where deserialization of Untrusted Data due to Pickle usage may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity. All versions before 2.1.4 are affected. CVSS Score =...

CVE-2022-34668

NVFLARE, versions prior to 2.1.4, contains a vulnerability that deserialization of Untrusted Data due to Pickle usage may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity...

CVE-2022-34668

NVFLARE, versions prior to 2.1.4, contains a vulnerability that deserialization of Untrusted Data due to Pickle usage may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity...

Deserialization of untrusted data

NVFLARE, versions prior to 2.1.4, contains a vulnerability that deserialization of Untrusted Data due to Pickle usage may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity...

PYSEC-2022-257

NVFLARE, versions prior to 2.1.4, contains a vulnerability that deserialization of Untrusted Data due to Pickle usage may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity...

CVE-2022-34668

NVFLARE, versions prior to 2.1.4, contains a vulnerability that deserialization of Untrusted Data due to Pickle usage may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity...

NVIDIA NVFLARE 代码问题漏洞

NVIDIA NVFLARE is a standalone Python library from NVIDIA, Inc. Designed to support joint learning between parties using their local secure protected data for client-side training, it also includes functionality for coordinating and exchanging the progress of results across all sites to achieve...

CVE-2022-34668

NVFLARE before version 2.1.4 is affected by a deserialization vulnerability due to untrusted data via Python Pickle, enabling Remote Code Execution and Denial of Service with high impact to confidentiality and integrity. All versions prior to 2.1.4 are affected. Public writeups describe an attack...

PT-2022-22281 · Nvflare · Nvflare

Name of the Vulnerable Software and Affected Versions: NVFLARE versions prior to 2.1.4 Description: The issue concerns deserialization of untrusted data due to Pickle usage, which may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and impact both...

CVE-2022-34668

NVFLARE, versions prior to 2.1.4, contains a vulnerability that deserialization of Untrusted Data due to Pickle usage may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity...

CVE-2022-31604

NVFLARE, versions prior to 2.1.2, contains a vulnerability in its PKI implementation module, where The CA credentials are transported via pickle and no safe deserialization. The deserialization of Untrusted Data may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of...

CVE-2022-31604

NVFLARE, versions prior to 2.1.2, contains a vulnerability in its PKI implementation module, where The CA credentials are transported via pickle and no safe deserialization. The deserialization of Untrusted Data may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of...

CVE-2022-31605

NVFLARE, versions prior to 2.1.2, contains a vulnerability in its utils module, where YAML files are loaded via yaml.load instead of yaml.safeload. The deserialization of Untrusted Data, may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to bo...

CVE-2022-31605

NVFLARE, versions prior to 2.1.2, contains a vulnerability in its utils module, where YAML files are loaded via yaml.load instead of yaml.safeload. The deserialization of Untrusted Data, may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to bo...

Deserialization of untrusted data

NVFLARE, versions prior to 2.1.2, contains a vulnerability in its PKI implementation module, where The CA credentials are transported via pickle and no safe deserialization. The deserialization of Untrusted Data may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of...