
Análisis de dependencias en Python: riesgos ocultos, ataques como typosquatting y estrategias para evaluar y confiar en paquetes de terceros. Herramientas y prácticas para realizar controles de seguridad efectivos.

Explore the evolving landscape of open source supply chain threats, their impacts, and strategies for implementing developer-first security to counter sophisticated attacks.

Experts discuss open source supply chain security, focusing on container vulnerabilities, SBOMs, and best practices for managing security in modern engineering toolchains.

Explore supply chain security across C++, Java, and JavaScript ecosystems. Learn about challenges, dependencies, versioning, and software bill of materials (SBOMs) from industry experts.

Explore infrastructure-as-code security risks, focusing on supply chain vulnerabilities in reused templates and containers. Learn strategies to mitigate threats and ensure robust IaC practices.

Explore software supply chain risks in Infrastructure as Code, learn about KICS for security, and discover strategies to safeguard your infrastructure from vulnerabilities in reused components.

Explore PACKJ, a security framework for detecting risky open-source packages. Learn about supply chain attacks, defense strategies, and real-world examples to enhance your software security practices.

Quantifying harm from typosquatting using intent inference. New metrics and methodology reveal average time cost to users and traffic loss for legitimate sites. Some typosquatters unexpectedly improve latency.

Explore DevSecOps strategies to combat rising software supply chain attacks. Learn about vulnerabilities, prevention techniques, and essential rules for securing your development pipeline.

Detección automatizada de malware en PyPI: vectores de ataque, sistema de detección integrado, tipos de chequeos implementados y cómo combatir amenazas en el repositorio.

Explore techniques used by bad actors in software supply chain attacks and learn about a large-scale vetting system for detecting malware in Python packages.

Explore real-world software supply chain attacks, security vulnerabilities, and defense strategies through npm and NuGet examples, learning to protect projects from malicious package threats.