Generating Mitigations for Downstream Projects to Neutralize Upstream Library Vulnerability
March 31, 2025 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Zirui Chen, Xing Hu, Puhua Sun, Xin Xia, Xiaohu Yang
arXiv ID
2503.24273
Category
cs.SE: Software Engineering
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
Abstract
Third-party libraries are essential in software development as they prevent the need for developers to recreate existing functionalities. However, vulnerabilities within these libraries pose significant risks to dependent projects. Upgrading dependencies to secure versions is not feasible to neutralize vulnerabilities without patches or in projects with specific version requirements. Moreover, repairing the vulnerability proves challenging when the source code of the library is inaccessible. Both the state-of-the-art automatic vulnerability repair and automatic program repair methods fail to address this issue. Therefore, mitigating library vulnerabilities without source code and available patches is crucial for a swift response to potential security attacks. Existing tools encounter challenges concerning generalizability and functional security. In this study, we introduce LUMEN to mitigate library vulnerabilities in impacted projects. Upon disclosing a vulnerability, we retrieve existing workarounds to gather a resembling mitigation strategy. In cases where a resembling strategy is absent, we propose type-based strategies based on the vulnerability reproducing behavior and extract essential information from the vulnerability report to guide mitigation generation. Our assessment of LUMEN spans 121 impacted functions of 40 vulnerabilities, successfully mitigating 70.2% of the functions, which substantially outperforms our baseline in neutralizing vulnerabilities without functionality loss. Additionally, we conduct an ablation study to validate the rationale behind our resembling strategies and type-based strategies.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Software Engineering
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Microservices: yesterday, today, and tomorrow
π
π
The Cartographer
A Survey of Machine Learning for Big Code and Naturalness
R.I.P.
π»
Ghosted
An Overview on Smart Contracts: Challenges, Advances and Platforms
R.I.P.
π»
Ghosted
Slither: A Static Analysis Framework For Smart Contracts
R.I.P.
π»
Ghosted
ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted