Back to List
Industry NewsCybersecurityLaw EnforcementData Breach

South Korean Police Incident: Seized Cryptocurrency Lost After Password Posted Online

This news item, sourced from Hacker News and published on March 1, 2026, reports on an incident involving South Korean police. The core issue revolves around the loss of seized cryptocurrency, which occurred because the password for accessing it was inadvertently posted online. The original content is brief, consisting only of the word "Comments," suggesting this might be a placeholder or an initial report awaiting further details. Therefore, specific details regarding the amount of cryptocurrency lost, the exact circumstances of the password posting, or any subsequent investigations are not available in this provided snippet.

Hacker News

This news item, published on March 1, 2026, and attributed to Hacker News, highlights a significant security lapse by South Korean police. The report indicates that seized cryptocurrency under their custody was lost. The direct cause of this loss is stated to be the online posting of the password required to access the digital assets. The original content provided is extremely concise, consisting solely of the word "Comments." This brevity suggests that the provided text might be an initial headline or a placeholder for a more detailed article. Consequently, the specific value of the lost cryptocurrency, the precise platform or method used to post the password online, and any immediate repercussions or ongoing investigations are not detailed within this limited information. The incident underscores critical security vulnerabilities that can arise even within law enforcement agencies when handling digital assets.

Related News

Meituan AI Research Milestone: 32 Papers Accepted at Top 2026 Conferences Including ACL Outstanding Award
Industry News

Meituan AI Research Milestone: 32 Papers Accepted at Top 2026 Conferences Including ACL Outstanding Award

In a significant display of academic and technical prowess, Meituan's technical team has announced the acceptance of dozens of research papers at premier AI conferences in 2026, including ACL, SIGIR, ICML, and KDD. The team has curated 32 of these high-impact papers for a specialized five-session livestream series designed to share their findings with the broader AI community. A standout achievement in this year's cohort is the receipt of an 'Outstanding Paper' award at ACL 2026, highlighting Meituan's contribution to cutting-edge Natural Language Processing. This comprehensive collection of research underscores Meituan's commitment to advancing AI across multiple domains, from machine learning to information retrieval and data mining, bridging the gap between industrial application and academic excellence.

Meituan Unveils LongCat-2.0: A 1.6-Trillion Parameter Model Trained on 50,000 Domestic GPUs
Industry News

Meituan Unveils LongCat-2.0: A 1.6-Trillion Parameter Model Trained on 50,000 Domestic GPUs

Meituan's technology team has officially announced the release of LongCat-2.0, a pioneering large-scale model featuring 1.6 trillion parameters. This model distinguishes itself as the first in the industry to complete its entire training and inference lifecycle on a domestic computing cluster comprising 50,000 cards. LongCat-2.0 is designed with a dynamic architecture, maintaining an average activation of 48 billion parameters and native support for a 1-million-token ultra-long context window. Developed from scratch, the model's core objective is to revolutionize 'Agentic Coding' by providing a stable and efficient platform for complex code understanding, generation, and execution tasks. This release marks a significant milestone in the development of high-capacity AI models using localized hardware infrastructure.

Meituan Technical Team Showcases Machine Learning Research at ICML 2026: Bridging Theory and Practice
Industry News

Meituan Technical Team Showcases Machine Learning Research at ICML 2026: Bridging Theory and Practice

The Meituan Technical Team has announced its selection of academic papers for the 2026 International Conference on Machine Learning (ICML), one of the most prestigious global forums in the field. ICML serves as a primary venue for exploring the critical challenges and core issues defining the future of machine learning. By contributing research that emphasizes both theoretical value and practical impact, Meituan aims to drive the industry forward and help set the direction for future academic and industrial inquiries. This participation underscores the company's commitment to evaluating and disseminating frontier research results that address complex problems within the machine learning landscape. The selection highlights Meituan's ongoing efforts to integrate high-level academic research with real-world technological applications, reinforcing its position as a significant contributor to the global machine learning community.