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Indhold leveret af Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
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Understanding Vulnerabilities in the Rust Programming Language

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Manage episode 365551727 series 2487640
Indhold leveret af Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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 episoder

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Manage episode 365551727 series 2487640
Indhold leveret af Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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 episoder

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