rce-defender - RCE Defender is a defensive security toolkit focus

项目说明

RCE Defender

RCE Defender is a modular runtime security framework for detecting, correlating, and responding to behaviors indicative of Remote Code Execution (RCE). It performs host-le monitoring using process introspection, execution tracing, and rule-based anomaly detection.

This tool is designed for incident responders, threat hunters, and security engineers requiring high-fidelity into execution paths and exploitation indicators.

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O

Remote Code Execution (RCE) enables arbitrary code execution within a target en and represents one of the highest-impact classes.

RCE Defender implements beha detection instead of signature-based matching, enabling identification of both known and unknown attack patterns through runtime analysis.

The system continuously observes:

Process creation and termination

Parent-child execution relationships

Command-line arguments

Multi-stage execution chains

Detection is performed rules and heuristics defined in config.py.

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Design Principles

Detection-first (no offensi)

Modular and extensible architecture

Beha analysis o signatures

Low-noise, high-signal alerting

Local-first operation (no external dependency required)

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Core Capabilities

Process Lineage Tracking

- Monitors parent-child relationships
- Detects anomalous process spawning patterns

Command-Line Analysis

- Identifies obfuscation (encoding, shell escaping, payload injection)
- Flags suspicious argument patterns

Execution Chain Correlation

- Tracks multi-step execution flows across processes
- Reconstructs potential exploitation paths

Rule-Based Detection Engine

- Heuristic and pattern-dri
- Configurable thresholds and scoring

Alerting & Response Hooks

- Real-time alert generation
- Optional remediation logic modules

Structured Logging

- JSON-formatted logs for downstream analysis
- Persistent storage under logs/

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Repository Structure

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Component Model

Monitors

Responsible for collecting runtime telemetry from the host system.

Detection Layer

Applies rules and heuristics to obser and correlates signals across modules.

Response Layer

Handles alert generation and optional remediation workflows.

Configuration Layer

Defines detection rules, thresholds, and scoring logic (config.py).

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Requirements

Python ≥ 3.8

Supported platforms:

- Linux (procfs / psutil)
- macOS
- Windows (WMI / WinAPI )

Sufficient pri for process inspection (recommended: elevated/root)

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Installation

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Usage

Runtime Behavior

At runtime, RCE Defender:

Hooks into process lifecycle events

Captures command-line execution context

Builds process lineage graphs

E events against detection rules

Emits alerts when thresholds are exceeded

Writes structured logs to logs/

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Detection Engine

Detection logic is defined in config.py and executed across monitoring modules.

Example Detection Scenarios

Shells spawned from non-interacti

Script execution under pri or service accounts

Encoded / obfuscated command-line payloads

Abnormal parent-child execution relationships

Interpreter misuse (e.g., Python, Bash, PowerShell in unexpected contexts)

Rule Model

Each detection rule may include:

Pattern or heuristic

Context constraints (process, user, parent)

Se score

Trigger condition / threshold

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Logging

All events are recorded as structured JSON for compatibility with SIEM and forensic workflows.

Example

Log Use Cases

SIEM ingestion (ELK, Splunk, Sentinel)

Post-incident forensic reconstruction

Threat hunting and correlation

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Extending the Framework

RCE Defender is designed to be extended with custom detection modules.

Add a New Monitor

1. Create a module inside monitors/
2. Implement a detector class
3. Register it in main.py

Example

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Limitations

RCE Defender does not:

Patch or remediate automatically

Perform exploit de or execution

Replace EDR/XDR platforms

It functions strictly as a detection and layer.

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Use Cases

Endpoint monitoring in SOC en

High-value asset protection

Incident response and triage

Threat hunting pipelines

Early-stage exploitation detection

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Security Considerations

Requires appropriate pri for full telemetry access

Detection accuracy depends on rule tuning

High-activity systems may require threshold adjustments to reduce noise

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Roadmap

Kernel-le integration

Ad anomaly detection (ML-assisted)

Distributed agent architecture

Native SIEM integrations

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Disclaimer

This tool is intended strictly for defensi purposes. Any misuse or deployment outside authorized en is the sole responsibility of the user;)

项目信息

开发语言：Python

Star 数：6

技术要点

该项目属于防护思路方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕RCE Defender is a defensive security toolkit focused on detecting, alerting, and responding to potential Remote Code Execution (RCE) behaviors on a local system or within monitored environments.展开，提供了可运行的实现，对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

从技术实现角度看，此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论，梳理项目的初始化流程、核心模块职责与数据流转，逐步掌握其中的技术细节与设计思路。

使用与学习建议

1. 下载源码压缩包，解压到本地环境。

2. 根据项目类型准备对应的运行环境与依赖。

3. 按照 README 中的步骤完成配置与部署。

4. 在隔离的测试环境中运行验证，避免影响生产系统。

免责声明

本资源来源于开源社区，仅供安全研究、技术学习与合法授权范围内的攻防演练使用，请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。