Lune

ICSE2026顶会

Bytecode-centric Detection of Known-to-be-vulnerable Dependencies in Java Projects

Stefan Schott, Serena Elisa Ponta, Wolfram Fischer, Jonas Klauke, Eric Bodden

2026年份

摘要

On average, 71% of the code in typical Java projects comes from open-source software (OSS) dependencies, making OSS dependencies the dominant component of modern software code bases. This high degree of OSS reliance comes with a considerable security risk of adding known security vulnerabilities to a code base. To remedy this risk, researchers and companies have developed various dependency scanners, which try to identify inclusions of known-to-be-vulnerable OSS dependencies. However, there are still challenges that modern dependency scanners do not overcome, especially when it comes to dependency modifications, such as re-compilations, re-bundlings or re-packagings, which are common in the Java ecosystem. To overcome these challenges, we present Jaralyzer, a bytecode-centric dependency scanner for Java. Jaralyzer does not rely on the metadata or the source code of the included OSS dependencies being available but directly analyzes a dependency's bytecode. Our evaluation across 56 popular OSS components demonstrates that Jaralyzer outperforms other popular dependency scanners in detecting vulnerabilities within modified dependencies. It is the only scanner capable of identifying vulnerabilities across all the above mentioned types of modifications. But even when applied to unmodified dependencies, Jaralyzer outperforms the current state-of-the-art code-centric scanner Eclipse Steady by detecting 28 more true vulnerabilities and yielding 29 fewer false warnings.

问问这篇 Paper

智能体会读完全文。

Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。

可以从这些问题问起

智能体调用

Luneget_paper_fulltext

在 Lune 里问

免费开始,无需绑卡

它引用的顶会 Paper8

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖