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In this article, you’ll learn about the Performance Co-Pilot (PCP) tool and how we take advantage of it to implement system and application monitoring for Red Hat Ansible Automation Platform.What is Performance Co-Pilot (PCP)PCP is an open source performance monitoring and analysis framework developed by Red Hat. It provides a suite of tools, libraries and services to monitor, retrieve and analyze performance metrics from different systems, services and applications. PCP is designed for scalability, enabling it to monitor anything from a single server to a large, distributed network of machi
## Summary [Deep Java Library (DJL)](https://docs.djl.ai/master/index.html) is an open-source, high-level, engine-agnostic Java framework for deep learning. DJL is designed to be easy to get started with and simple to use for Java developers. DJL provides a native Java development experience and functions like any other regular Java library. DJL provides utilities for extracting tar and zip model archives that are used when loading models for use with DJL. These utilities were found to contain issues that do not protect against absolute path traversal during the extraction process. ## Impact An issue exists with DJL's untar and unzip functionalities. Specifically, it is possible to create an archive on a Windows system, and when extracted on a MacOS or Linux system, write artifacts outside the intended destination during the extraction process. The reverse is also true for archives created on MacOS/Linux systems and extracted on Windows systems. Impacted versions: 0.1.0 - 0.31.0 ...
In this case, the "fast_float::common::AsciiStr::first" method within the "AsciiStr" struct uses the unsafe keyword to reading from memory without performing bounds checking. Specifically, it directly dereferences a pointer offset by "self.ptr". Because of the above reason, the method accesses invalid memory address when it takes an empty string as its input. This approach violates Rust’s memory safety guarantees, as it can lead to invalid memory access if empty buffer is provided. No patched version for fast-float crate has been released, but a patch is available in the fast-float2 fork.
In this case, the "fast_float2::common::AsciiStr::first" method within the "AsciiStr" struct uses the unsafe keyword to reading from memory without performing bounds checking. Specifically, it directly dereferences a pointer offset by "self.ptr". Because of the above reason, the method accesses invalid memory address when it takes an empty string as its input. This approach violates Rust’s memory safety guarantees, as it can lead to invalid memory access if empty buffer is provided.
UAC-0063: A Russian-linked threat actor targeting Central Asia and Europe with sophisticated cyberespionage campaigns, including weaponized documents, data…
While Microsoft has boosted the security of Windows Print Spooler in the three years since the disclosure of the PrintNightmare vulnerability, the service remains a spooky threat that organizations cannot afford to ignore.
The threat actor is using a sophisticated network of VPNs and proxies to centrally manage command-and-control servers from Pyongyang.
China-based DeepSeek has exploded in popularity, drawing greater scrutiny. Case in point: Security researchers found more than 1 million records, including user data and API keys, in an open database.
### Issue Snowflake discovered and remediated a vulnerability in the Snowflake Connector for .NET in which files downloaded from stages are temporarily placed in a world-readable local directory, making them accessible to unauthorized users on the same machine. This vulnerability affects versions 2.0.12 through 4.2.0 on Linux and macOS. Snowflake fixed the issue in version 4.3.0. ### Vulnerability Details When downloading files from stages, the Snowflake Connector for .NET uses the OS temporary directory to save files before copying them to the destination directory. The files in the temporary directory, which are removed once the write to the destination directory concludes, have world-readable permissions on Linux and macOS. This could allow any user on the local machine to access them during their limited lifetime. ### Solution Snowflake released version 4.3.0 of the Snowflake Connector for .NET, which fixes this issue. We recommend users upgrade to version 4.3.0. ### Additional...
### Issue Snowflake discovered and remediated a vulnerability in the Snowflake Connector for Python. A function from the snowflake.connector.pandas_tools module is vulnerable to SQL injection. This vulnerability affects versions 2.2.5 through 3.13.0. Snowflake fixed the issue in version 3.13.1. ### Vulnerability Details A function from the snowflake.connector.pandas_tools module is not sanitizing all of its arguments, and queries using them are not parametrized. An attacker controlling these arguments could achieve SQL injection by passing crafted input. Any SQL executed that way by an attacker would still run in the context of the current session. ### Solution Snowflake released version 3.13.1 of the Snowflake Connector for Python, which fixes this issue. We recommend users upgrade to version 3.13.1. ### Additional Information If you discover a security vulnerability in one of our products or websites, please report the issue to HackerOne. For more information, please see our [Vul...