Building a Commit-level Dataset of Real-world Vulnerabilities

Author:

Challande Alexis1,David Robin2,Renault Guénaël3

Affiliation:

1. Quarkslab, Inria, & Institut Polytechnique de Paris, Paris, France

2. Quarkslab, Paris, France

3. ANSSI, Inria, & Institut Polytechnique de Paris, Paris, France

Publisher

ACM

Reference32 articles.

1. CVE-2015--3873. libstagefright in Android before 5.1.1 LMY48T allows remote attackers to execute arbitrary code or cause a denial of service (memory corruption) via a crafted media file. CVE-2015--3873. libstagefright in Android before 5.1.1 LMY48T allows remote attackers to execute arbitrary code or cause a denial of service (memory corruption) via a crafted media file.

2. Universal ctags. original-date: 2010-03--25T10:43:13Z. Universal ctags. original-date: 2010-03--25T10:43:13Z.

3. Junaid Akram and Luo Ping. How to build a vulnerability benchmark to overcome cyber security attacks. 14(1):60--71. Junaid Akram and Luo Ping. How to build a vulnerability benchmark to overcome cyber security attacks. 14(1):60--71.

4. Bas van Schaik and Kevin Backhouse. FPs are cheap. show me the CVEs! Bas van Schaik and Kevin Backhouse. FPs are cheap. show me the CVEs!

5. Guru Prasad Bhandari Amara Naseer and Leon Moonen. CVEfixes: Automated collection of vulnerabilities and their fixes from open-source software. Guru Prasad Bhandari Amara Naseer and Leon Moonen. CVEfixes: Automated collection of vulnerabilities and their fixes from open-source software.

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1. Generating ICS vulnerability playbooks with open standards;International Journal of Information Security;2023-12-11

2. DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection;Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses;2023-10-16

3. The anatomy of a vulnerability database: A systematic mapping study;Journal of Systems and Software;2023-07

4. Labelled Vulnerability Dataset on Android Source Code (LVDAndro) to Develop AI-Based Code Vulnerability Detection Models;Proceedings of the 20th International Conference on Security and Cryptography;2023

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