CVE-2025-32797 Conda-build Insecure Build Script Permissions Enabling Arbitrary Code Execution

Conda-build contains commands and tools to build conda packages. Prior to version 25.3.1, the writebuildscripts function in conda-build creates the temporary build script condabuild.sh with overly permissive file permissions 0o766, allowing write access to all users. Attackers with filesystem...

CVE-2025-32797

Conda-build before 25.3.1 creates a temporary build script (conda_build.sh) with overly permissive 0o766 permissions. A local attacker with filesystem access can race between creation and execution to overwrite the script, enabling arbitrary code execution under the victim’s privileges. Fedora an...

PT-2025-25580

Name of the Vulnerable Software and Affected Versions conda-build versions prior to 25.3.1 Description The issue in conda-build allows attackers with filesystem access to exploit a race condition and overwrite a temporary build script, potentially leading to arbitrary code execution under the...

CVE-2025-36852

A critical security vulnerability exists in remote cache extensions for common build systems utilizing bucket-based remote cache such as those using Amazon S3, Google Cloud Storage, or similar object storage that allows any contributor with pull request privileges to inject compromised artifacts...

AI Is Everywhere—But Security Teams Are Still Catching Up

Insights from 96 organizations on the state of AI security in the cloud...

Identity and Access Management for the Computing Continuum

The computing continuum introduces new challenges for access control due to its dynamic, distributed, and heterogeneous nature. In this paper, we propose a Zero-Trust ZT access control solution that leverages decentralized identification and authentication mechanisms based on Decentralized...

@nx/azure-cache Vulnerable to Build Cache Poisoning via Untrusted Pull Requests

A critical security vulnerability exists in remote cache extensions for common build systems utilizing bucket-based remote cache such as those using Amazon S3, Google Cloud Storage, or similar object storage that allows any contributor with pull request privileges to inject compromised artifacts...

CVE-2025-36852

A critical security vulnerability exists in remote cache extensions for common build systems utilizing bucket-based remote cache such as those using Amazon S3, Google Cloud Storage, or similar object storage that allows any contributor with pull request privileges to inject compromised artifacts...

CVE-2025-36852

CVE-2025-36852 describes a critical vulnerability in remote cache extensions used by build systems with bucket-based remote caches (e.g., Amazon S3, Google Cloud Storage). The issue allows contributors with pull request privileges to inject compromised artifacts from untrusted environments into t...

CVE-2025-36852 Build Cache Poisoning via Untrusted Pull Requests

A critical security vulnerability exists in remote cache extensions for common build systems utilizing bucket-based remote cache such as those using Amazon S3, Google Cloud Storage, or similar object storage that allows any contributor with pull request privileges to inject compromised artifacts...

CVE-2025-36852 Build Cache Poisoning via Untrusted Pull Requests

A critical security vulnerability exists in remote cache extensions for common build systems utilizing bucket-based remote cache such as those using Amazon S3, Google Cloud Storage, or similar object storage that allows any contributor with pull request privileges to inject compromised artifacts...

PT-2025-24926 · Nx +1 · Aws S3 Remote Cache Plugin For Nx +6

Name of the Vulnerable Software and Affected Versions: The product name cannot be determined. Description: A critical security issue exists in remote cache extensions for common build systems that utilize bucket-based remote cache, such as those using Amazon S3 or Google Cloud Storage. This issue...

Keeping Pace and Embracing Emerging Technologies

Trend Micro and the NEOM McLaren Formula E Team stay ahead of the curve by embracing new technologies, fostering a no-blame culture, and making split-second decisions in high-stakes environments...

Secure Distributed Learning for CAVs: Defending against Gradient Leakage with Leveled Homomorphic Encryption

Federated Learning FL enables collaborative model training across distributed clients without sharing raw data, making it a promising approach for privacy-preserving machine learning in domains like Connected and Autonomous Vehicles CAVs. However, recent studies have shown that exchanged model...

MGASA-2025-0176 Updated cifs-utils packages fix security vulnerability

cifs.upcall makes an upcall to the wrong namespace in containerized environments. CVE-2025-2312...

Ensure PCI 4.0 Readiness with File Integrity Monitoring for Containers

Compliance isn’t optional. But it’s never been more complex. The rise of containers has revolutionized modern infrastructure—enabling faster innovation and greater scalability. But with this transformation comes a new wave of compliance challenges. PCI DSS 4.0 introduces stricter requirements for...

Cisco Identity Services Engine (cisco-sa-ise-aws-static-cred-FPMjUcm7)

According to its self-reported version, Cisco ISE is affected by a vulnerability. - A vulnerability in Amazon Web Services AWS, Microsoft Azure, and Oracle Cloud Infrastructure OCI cloud deployments of Cisco Identity Services Engine ISE could allow an unauthenticated, remote attacker to access...

CVE-2025-4517

Allows arbitrary filesystem writes outside the extraction directory during extraction with filter="data". You are affected by this vulnerability if using the tarfile module to extract untrusted tar archives using TarFile.extractall or TarFile.extract using the filter= parameter with a value of...

VPI-Bench: Visual Prompt Injection Attacks for Computer-Use Agents

Computer-Use Agents CUAs with full system access enable powerful task automation but pose significant security and privacy risks due to their ability to manipulate files, access user data, and execute arbitrary commands. While prior work has focused on browser-based agents and HTML-level attacks,...

Privacy-Aware, Public-Aligned: Embedding Risk Detection and Public Values into Scalable Clinical Text De-Identification for Trusted Research Environments

Clinical free-text data offers immense potential to improve population health research such as richer phenotyping, symptom tracking, and contextual understanding of patient care. However, these data present significant privacy risks due to the presence of directly or indirectly identifying...