DeepSeekSelfTool

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DeepSeekSelfTool is an AI cybersecurity toolkit that helps analyze network traffic, audit code, and detect WebShells. It is an open-source tool developed by DeepSeek, offering various security analysis features.

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At a glance

Pricing

Open Source · Free

Free tier

Yes

API

Yes

Skill level

Technical

About

What is DeepSeekSelfTool?

DeepSeekSelfTool is an open-source AI cybersecurity toolkit developed by DeepSeek, designed to assist security professionals and developers with various tasks. Its capabilities include traffic analysis to identify malicious network activity, JavaScript code auditing to pinpoint vulnerabilities and risks, and process analysis for both Windows and Linux/macOS systems to detect suspicious processes. The tool also features HTTP to Python conversion for generating POC/EXP code, text processing for data reformatting, and regular expression generation. A standout feature is its robust WebShell detection, capable of identifying both traditional WebShells and memory-resident ones. Additionally, it offers AI-powered translation and code auditing, making it a comprehensive solution for cybersecurity operations and reporting.

Best used for

Ideal for developers and security professionals who need to analyze network traffic, audit JavaScript code for vulnerabilities, and detect WebShells. Especially valuable for red teams, blue teams, and incident responders looking for AI-assisted security analysis and automation.

Common actions

analyze network traffic

audit code

detect malware

generate regular expressions

convert HTTP to Python

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Capabilities

Key features

Traffic analysis
JS code auditing
Process analysis
HTTP to Python conversion
WebShell detection
AI translation
Regular expression generation

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source · Free

Free

FAQs

What AI models does DeepSeekSelfTool support for its functionalities?

DeepSeekSelfTool supports DeepSeekV3 for online API models, recommending against R1 inference models due to performance issues. For local deployment, it recommends using 'qwen2.5-coder:14b' via Ollama, providing flexibility for users to choose between cloud-based and local AI processing.

Can DeepSeekSelfTool detect both traditional and memory-resident WebShells?

Yes, DeepSeekSelfTool is designed with strong WebShell detection capabilities. It can detect traditional file-based WebShells by analyzing file content and also identify memory-resident WebShells, though the latter requires manual dumping of the memory for analysis.

What are the system requirements for running DeepSeekSelfTool?

DeepSeekSelfTool is compatible with Windows, macOS, and Linux operating systems. Users need to install Python and the dependencies listed in `requirements.txt`. Configuration involves setting up API keys and URLs for either DeepSeek or Ollama models in the `config.py` file.

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