Faster Releases, Fewer Risks: A Study on Maven Artifact Vulnerabilities and Lifecycle Management
- URL: http://arxiv.org/abs/2503.24349v1
- Date: Mon, 31 Mar 2025 17:32:45 GMT
- Title: Faster Releases, Fewer Risks: A Study on Maven Artifact Vulnerabilities and Lifecycle Management
- Authors: Md Shafiullah Shafin, Md Fazle Rabbi, S. M. Mahedy Hasan, Minhaz F. Zibran,
- Abstract summary: We analyze the release histories of 10,000 Maven artifacts, covering over 203,000 releases and 1.7 million dependencies.<n>Our results show an inverse relationship between release speed and dependency outdatedness.<n>These findings emphasize the importance of accelerated release strategies in reducing security risks.
- Score: 0.14999444543328289
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: In modern software ecosystems, dependency management plays a critical role in ensuring secure and maintainable applications. However, understanding the relationship between release practices and their impact on vulnerabilities and update cycles remains a challenge. In this study, we analyze the release histories of 10,000 Maven artifacts, covering over 203,000 releases and 1.7 million dependencies. We evaluate how release speed affects software security and lifecycle. Our results show an inverse relationship between release speed and dependency outdatedness. Artifacts with more frequent releases maintain significantly shorter outdated times. We also find that faster release cycles are linked to fewer CVEs in dependency chains, indicating a strong negative correlation. These findings emphasize the importance of accelerated release strategies in reducing security risks and ensuring timely updates. Our research provides valuable insights for software developers, maintainers, and ecosystem managers.
Related papers
- Mining for Lags in Updating Critical Security Threats: A Case Study of Log4j Library [2.593806238402966]
Delays in applying patch updates can leave client systems exposed to exploitation.
We identify factors influencing update lags and categorize them based on version classification.
Results show that lags exist, but projects with higher release cycle rates tend to address severe security issues more swiftly.
arXiv Detail & Related papers (2025-04-14T03:02:16Z) - Insights into Dependency Maintenance Trends in the Maven Ecosystem [0.14999444543328289]
We present a quantitative analysis of the Neo4j dataset using the Goblin framework.<n>Our analysis reveals that releases with fewer dependencies have a higher number of missed releases.<n>Our study shows that the dependencies in the latest releases have positive freshness scores, indicating better software management efficacy.
arXiv Detail & Related papers (2025-03-28T22:20:24Z) - Chasing the Clock: How Fast Are Vulnerabilities Fixed in the Maven Ecosystem? [1.5499426028105905]
The study focuses on the influence of CVE severity, library popularity as measured by the number of dependents, and version release frequency.<n>The results suggest that critical vulnerabilities are addressed slightly faster compared to lower-severity ones.
arXiv Detail & Related papers (2025-03-28T21:48:22Z) - Pinning Is Futile: You Need More Than Local Dependency Versioning to Defend against Supply Chain Attacks [23.756533975349985]
Recent high-profile incidents in open-source software have raised practitioner attention on software supply chain attacks.<n>Security practitioners advocate pinning dependency to specific versions rather than floating in version ranges.<n>We quantify, through counterfactual analysis and simulations, the security and maintenance impact of version constraints in the npm ecosystem.
arXiv Detail & Related papers (2025-02-10T16:50:48Z) - Tracing Vulnerabilities in Maven: A Study of CVE lifecycles and Dependency Networks [0.46040036610482665]
This study analyzes the lifecycle of 3,362 CVEs in Maven to uncover patterns in vulnerability mitigation and identify factors influencing at-risk packages.<n>A key finding reveals a trend in "Publish-Before-Patch" scenarios: maintainers prioritize patching severe vulnerabilities more quickly after public disclosure.
arXiv Detail & Related papers (2025-02-07T02:43:35Z) - Discovery of Timeline and Crowd Reaction of Software Vulnerability Disclosures [47.435076500269545]
Apache Log4J was found to be vulnerable to remote code execution attacks.
More than 35,000 packages were forced to update their Log4J libraries with the latest version.
It is practically reasonable for software developers to update their third-party libraries whenever the software vendors have released a vulnerable-free version.
arXiv Detail & Related papers (2024-11-12T01:55:51Z) - The Impact of SBOM Generators on Vulnerability Assessment in Python: A Comparison and a Novel Approach [56.4040698609393]
Software Bill of Materials (SBOM) has been promoted as a tool to increase transparency and verifiability in software composition.
Current SBOM generation tools often suffer from inaccuracies in identifying components and dependencies.
We propose PIP-sbom, a novel pip-inspired solution that addresses their shortcomings.
arXiv Detail & Related papers (2024-09-10T10:12:37Z) - Alibaba LingmaAgent: Improving Automated Issue Resolution via Comprehensive Repository Exploration [64.19431011897515]
This paper presents Alibaba LingmaAgent, a novel Automated Software Engineering method designed to comprehensively understand and utilize whole software repositories for issue resolution.<n>Our approach introduces a top-down method to condense critical repository information into a knowledge graph, reducing complexity, and employs a Monte Carlo tree search based strategy.<n>In production deployment and evaluation at Alibaba Cloud, LingmaAgent automatically resolved 16.9% of in-house issues faced by development engineers, and solved 43.3% of problems after manual intervention.
arXiv Detail & Related papers (2024-06-03T15:20:06Z) - Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models [81.27391252152199]
Large language models (LLMs) have achieved impressive performance across various natural language benchmarks.
We propose to automate dataset updating and provide systematic analysis regarding its effectiveness.
There are two updating strategies: 1) mimicking strategy to generate similar samples based on original data, and 2) extending strategy that further expands existing samples.
arXiv Detail & Related papers (2024-02-19T07:15:59Z) - Improving Program Debloating with 1-DU Chain Minimality [47.73151075716047]
We present RLDebloatDU, an innovative debloating technique that employs 1-DU chain minimality within abstract syntax trees.
Our approach maintains essential program data dependencies, striking a balance between aggressive code reduction and the preservation of program semantics.
arXiv Detail & Related papers (2024-02-01T02:00:32Z) - Dependency Practices for Vulnerability Mitigation [4.710141711181836]
We analyze more than 450 vulnerabilities in the npm ecosystem to understand why dependent packages remain vulnerable.
We identify over 200,000 npm packages that are infected through their dependencies.
We use 9 features to build a prediction model that identifies packages that quickly adopt the vulnerability fix and prevent further propagation of vulnerabilities.
arXiv Detail & Related papers (2023-10-11T19:48:46Z) - Analyzing Maintenance Activities of Software Libraries [65.268245109828]
Industrial applications heavily integrate open-source software libraries nowadays.
I want to introduce an automatic monitoring approach for industrial applications to identify open-source dependencies that show negative signs regarding their current or future maintenance activities.
arXiv Detail & Related papers (2023-06-09T16:51:25Z) - RoFL: Attestable Robustness for Secure Federated Learning [59.63865074749391]
Federated Learning allows a large number of clients to train a joint model without the need to share their private data.
To ensure the confidentiality of the client updates, Federated Learning systems employ secure aggregation.
We present RoFL, a secure Federated Learning system that improves robustness against malicious clients.
arXiv Detail & Related papers (2021-07-07T15:42:49Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.