Analysis of Randstorm: Risks and Mitigation Strategies for Bitcoin Wallets Created Between 2011 and 2015

03.04.2025

Between 2011 and 2015, a vulnerability dubbed “Randstorm” existed in the BitcoinJS library, which was used by various online cryptocurrency platforms. This flaw made the private keys of crypto wallets more predictable and easier to crack. Researchers estimate that millions of wallets, holding a substantial amount of Bitcoin, are at risk. The vulnerability stems from the library’s reliance on a flawed pseudo-random number generator, Math.random, in popular browsers of the time. Although the BitcoinJS library was fixed in 2014, the wallets created during that period remain vulnerable. The recommendation to users who created online crypto wallets between 2011 and 2015 is to create new, secure wallets and transfer their funds.

Summary

A vulnerability called “Randstorm” in the BitcoinJS library between 2011 and 2015 put millions of crypto wallets at risk due to predictable private keys. Users with wallets created during this time should create new, secure wallets and transfer their funds.

The article provides new insights into the research problem by emphasizing the importance of identifying gaps in existing knowledge or practice and addressing them through systematic investigation. Key insights include:

  • Practical vs. Theoretical Problems: It distinguishes between practical problems aimed at improving processes or addressing real-world issues and theoretical problems focused on expanding knowledge or resolving contradictions in existing literature. This dual approach ensures relevance and applicability in diverse research contexts[2][3].
  • Significance and Timeliness: The article highlights that a compelling research problem must be significant, novel, and timely, aligning with current needs in the field. It stresses the importance of conducting exhaustive literature reviews to ensure originality and relevance[3][5].
  • Impact and Specificity: Research problems should have a positive impact—either practical or conceptual—and must be specific enough to guide the direction of the study, develop research questions, and determine appropriate methodologies[3][5].
  • Environmental Context: The article introduces the idea that research problems may vary across different environments, suggesting that solutions might depend on contextual factors, which adds depth to the analysis[1].

Summary

The article advances the understanding of research problems by detailing how to identify gaps in knowledge or practice, ensuring their relevance, timeliness, and specificity. It also provides frameworks for distinguishing practical and theoretical problems while emphasizing the importance of environmental context and impact.

The article differentiates between practical and theoretical research problems based on their objectives, methods, and outcomes:

  1. Objectives:
  • Theoretical research problems focus on expanding knowledge and understanding of a phenomenon without immediate practical applications. They aim to develop or test theories that explain how the world works, contributing to foundational knowledge[1][2].
  • Practical research problems aim to solve specific, real-world issues or develop actionable solutions, such as new products, processes, or technologies[1][2].
  1. Methods:
  • Theoretical research often employs abstract models, simulations, or thought experiments to refine hypotheses and build conceptual frameworks[1][2].
  • Practical research relies on empirical methods like experiments, surveys, and case studies to gather data and provide measurable outcomes[1][2].
  1. Outcomes:
  • Theoretical research generates new ideas, concepts, or models that may not have immediate applications but lay the groundwork for future applied research[1][2].
  • Practical research produces tangible solutions or innovations that address specific challenges in society or industry[1][2].

Summary

The article highlights that theoretical research addresses questions of understanding and theory-building, while practical research seeks to resolve real-world problems through actionable solutions. Both approaches are complementary and essential for advancing scientific knowledge and innovation.

Citations:
[1] https://www.listening.com/blog/theoretical-vs-applied-research/
[2] https://www.ilovephd.com/theoretical-research-vs-applied-research/
[3] https://journals.sagepub.com/doi/full/10.1177/15344843211069795
[4] https://www.scribbr.com/research-process/research-problem/
[5] https://nairaproject.com/blog/understanding-the-theoretical-and-practical-implications-of-a-research-paper.html
[6] https://libguides.usc.edu/writingguide/researchproblem
[7] https://library.sacredheart.edu/c.php?g=29803&p=185919
[8] https://pmc.ncbi.nlm.nih.gov/articles/PMC6236961/


Citations:
[1] https://www.questionpro.com/blog/research-problem/
[2] https://www.scribbr.com/research-process/research-problem/
[3] https://www.phoenix.edu/research/education-instruction-technology/how-to-identify-a-research-problem-0.html
[4] https://libguides.usc.edu/writingguide/researchproblem
[5] https://guides.library.txstate.edu/c.php?g=959645&p=6928651
[6] https://www.tandfonline.com/doi/full/10.1080/00313831.2021.1982765
[7] https://blog.wordvice.com/writing-the-statement-of-the-problem/
[8] https://infoguides.rit.edu/researchguide/researchproblem