rmi

Java web common vulnerabilities and security code which is base on springboot and spring security

JNDIExploit or a ysoserial.

Java RMI Vulnerability Scanner

Antenna是58同城安全团队打造的一款辅助安全从业人员验证网络中多种漏洞是否存在以及可利用性的工具。其基于带外应用安全测试(OAST)通过任务的形式，将不同漏洞场景检测能力通过插件的形式进行集合，通过与目标进行out-bind的数据通信方式进行辅助检测。

Common Exploitation Techniques for Java RCE Vulnerabilities in Real-World Scenarios | 实战场景较通用的 Java Rce 相关漏洞的利用方式

Cola Dnslog v1.3.2 更加强大的dnslog平台/无回显漏洞探测辅助平台 完全开源 dnslog httplog ldaplog rmilog 支持dns http ldap rmi等协议 提供API调用方式便于与其他工具结合 支持钉钉机器人、Bark等提醒 支持docker一键部署 后端完全使用python实现 前端基于vue-element-admin二开

A powerful JNDI injection exploitation framework that supports RMI, LDAP and LDAPS protocols, including various bypass methods for high-version JDK restrictions

Unix Domain Sockets for all Java versions 7 and newer (AF_UNIX), AF_TIPC, AF_VSOCK, and more

distributed Actors for Java 8 / JavaScript

干净的springboot-netty，google protocol buffer，根目录下我给你放了一本《Netty实战（精髓）》，test下关于同步回调和异步回调、JUC和NIO(RPC我也加进来了)的一些讲解的方法代码

Java反序列化/JNDI注入/恶意类生成工具，支持多种高版本bypass，支持回显/内存马等多种扩展利用。

This is a vehicle reservation system. Which is made with JavaFX and also using hibernate and RMI.

A learned index structure

pyyso is a Python package that generate java serialized poc. Including CommonsCollections1-7, JDK7u21, JDK8u20, ldap for jndi, shiro-550, CommonsBeanutils1 no cc, JRMPClient, high version JDK Bypass, Fake MySQL for JDBC attack

分布式通讯(rmi) remote method invocation example(java、scala、kotlin、springboot、zookeeper)

JrPip is a Java Remote Proxy Invocation Provider.

AMD APML modules, apml_sbtsi and apml_sbrmi registers to hwmon framework provding temperature and power metrics of the socket. They are extended by registering a misc_device, which provides ioctl interface to BMC admins.

Linkit is a networking framework in which connections directly manipulates common objects between them

☕ A Distributed Task Scheduling System is a software infrastructure that allows for the distribution and execution of tasks across multiple nodes in a network. It enhances the efficiency and scalability of large-scale computation and data processing tasks by dividing complex tasks into smaller sub-tasks and distributing them.

Programmazione Distribuita@UNISA