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Contenido proporcionado por Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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Understanding Vulnerabilities in the Rust Programming Language

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Contenido proporcionado por Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

While the memory safety and security features of the Rust programming language can be effective in many situations, Rust’s compiler is very particular on what constitutes good software design practices. Whenever design assumptions disagree with real-world data and assumptions, there is the possibility of security vulnerabilities–and malicious software that can take advantage of those vulnerabilities. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), David Svoboda and Garret Wassermann, researchers with the SEI's CERT Division, explore tools for understanding vulnerabilities in Rust whether the original source code is available or not. These tools are important for understanding malicious software where source code is often unavailable, as well as commenting on possible directions in which tools and automated code analysis can improve.

  continue reading

430 episodios

Artwork
iconCompartir
 
Manage episode 365551727 series 2487640
Contenido proporcionado por Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

While the memory safety and security features of the Rust programming language can be effective in many situations, Rust’s compiler is very particular on what constitutes good software design practices. Whenever design assumptions disagree with real-world data and assumptions, there is the possibility of security vulnerabilities–and malicious software that can take advantage of those vulnerabilities. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), David Svoboda and Garret Wassermann, researchers with the SEI's CERT Division, explore tools for understanding vulnerabilities in Rust whether the original source code is available or not. These tools are important for understanding malicious software where source code is often unavailable, as well as commenting on possible directions in which tools and automated code analysis can improve.

  continue reading

430 episodios

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