slowmist/knowledge-base

Knowledge Base 慢雾安全团队知识库

View on GitHub ↗Jump to charts ↓Open shareable report

Summary Information

Updated 37 minutes ago
Added to GitGenius on September 15th, 2026
Created on June 21st, 2018
Open Issues & Pull Requests: 0 (+0)
GitHub issues: Enabled
Number of forks: 598
Total Stargazers: 4,595 (+0)
Total Subscribers: 131 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.0 hours
Mean response time: 32.7 days
90th percentile: 254.3 days
Tracked items: 9

Most active contributors

Sign in to see contributor activity.

Related repositories by overlapping contributors

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 0
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

No label distribution available yet.

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Slowmist Knowledge Base is a curated security research repository that documents blockchain ecosystem vulnerabilities and attack methodologies.

The repository addresses the need for shared knowledge about emerging threats in blockchain systems. It compiles research conducted by the Slowmist security team into organized documentation covering attack vectors across major blockchains including Bitcoin, Ethereum, EOS, and Monero. The approach centers on systematic disclosure of attack techniques—particularly "false top-up" exploits that target cryptocurrency exchange deposit systems—paired with practical security guidance. By publishing these findings, the project aims to help exchanges and users understand and defend against known attack patterns.

This knowledge base suits security researchers, exchange operators, and blockchain developers who need to understand real-world attack methodologies affecting their systems. The repository is particularly valuable for teams building or securing cryptocurrency platforms, as it documents specific attack techniques across different blockchain networks and provides concrete examples of how deposit systems can be compromised. The material spans blockchain security research, zero-knowledge proof vulnerabilities, cryptographic flaws, and AI security concerns, making it a broad reference rather than a tool focused on a single problem domain.

The project maintains an active collection of security research materials organized by topic, with references to both published analyses and ongoing investigations. Documentation includes links to detailed technical breakdowns of attack methods, security audit services, and supplementary resources across multiple languages. The repository serves as a living index to the team's broader security research output rather than a static archive.