An Agent-based Java application vulnerability self-repair method

Abstract

The present invention is a self-repair method for Java application vulnerabilities based on Agent, and the method comprises the following steps: 1) Agent deployment: deploying the deployment Agent on the Web server side, the application side or the network device side to realize comprehensive monitoring and protection of the Web application; 2) Vulnerability identification: identifying potential security vulnerabilities by comprehensive scanning and analysis of the Web application, and classifying and rating the vulnerabilities so as to generate and execute the subsequent intelligent repair strategy, and perform manual repair if the scanning and analysis fail; 3) Repair strategy generation; 4) Repair code generation; 5) Automated deployment: the repair code is automatically deployed to the production environment, and real-time monitoring and verification are performed; 6) Real-time alarm and feedback. The present invention utilizes the intelligent network body of LLM+Planning+Memory+Tools to monitor, identify and automatically repair problems in the network, especially for some common vulnerabilities and other problems in Java backend applications, and improves user experience and system stability.

Description

Technical Field

[0001] The present invention belongs to the technical field of application security protection, and relates to an Agent-based Java application vulnerability self-repair method. Background Art

[0002] Current Web application security protection mainly relies on vulnerability scanning and repair tools, but these tools require manual intervention and cannot achieve real-time automated vulnerability repair. The problems and shortcomings of other similar technologies are as follows: Insufficient monitoring and detection capabilities: Some existing systems may have limitations in monitoring and detecting Web vulnerabilities, and cannot detect vulnerabilities in real time or the accuracy of detecting vulnerabilities is not high, resulting in delayed or incomplete repair of vulnerabilities. Imperfect automatic repair strategies: Existing automatic repair strategies may be relatively simple and crude, lack intelligence and pertinence, and cannot effectively distinguish the severity and scope of impact of vulnerabilities, which may cause misrepairs or omissions of vulnerabilities. Low repair efficiency and speed: The traditional vulnerability repair process may require manual intervention or a long repair cycle, and cannot respond to the emergence and spread of vulnerabilities in a timely and rapid manner, reducing the security and reliability of the system.

[0003] System stability and reliability issues: Some self-repairing systems may have problems such as system crashes and false positive repairs in actual applications, which may affect the stability and reliability of the system and may even lead to more serious security vulnerabilities. Poor adaptability to new vulnerabilities: Existing systems may have limited ability to identify and repair new vulnerabilities, and cannot adapt to the emergence and evolution of new vulnerabilities in a timely manner, making them vulnerable to attacks and impacts from unknown vulnerabilities. High cost and resource consumption: Some self-repairing systems may require a large amount of computing resources and human resources to operate and maintain, which is costly and difficult to expand and manage. Privacy and security issues: User privacy data or key system information may be involved in the automatic repair process, and system security and privacy protection measures may have loopholes or be imperfect. Imperfect integration with existing security systems: Some systems may have problems integrating with existing security systems and cannot work effectively with existing security monitoring systems or vulnerability scanning systems, resulting in inefficient security management.

[0004] Therefore, an Agent-based Java application vulnerability self-repair method is designed to overcome the above problems. Summary of the invention

[0005] The purpose of the present invention is to overcome the shortcomings of the prior art and provide an Agent-based Java application vulnerability self-repair method, which can realize real-time monitoring, intelligent identification and automatic repair of Web vulnerabilities, thereby improving the security and reliability of Web applications, while optimizing resource allocation, reducing resource waste, and reducing system complexity and maintenance costs, providing users with an efficient and stable service experience.

[0006] The present invention is implemented by the following technical solution: an Agent-based Java application vulnerability self-repair method, the method comprising the following steps: 1) Deploy Agent: Deploy Agent on the Web server, application program or network device to achieve comprehensive monitoring and protection of Web applications; 2) Vulnerability identification: Through comprehensive scanning and analysis of Web applications, potential security vulnerabilities are identified, and the vulnerabilities are classified and rated to facilitate the generation and execution of subsequent intelligent repair strategies. If the scanning and analysis fail, manual repair is performed; 3) Repair strategy generation: Based on the vulnerability identification results, the system automatically generates intelligent repair strategies for different vulnerability types and hazard levels; 4) Repair code generation: Based on the generated repair strategy, the system automatically generates vulnerability repair code or configuration files; 5) Automated deployment: The repair code is automatically deployed to the production environment and monitored and verified in real time; 6) Real-time alarm and feedback: The system monitors abnormal situations during the repair process in real time and promptly alarms relevant personnel. At the same time, the system provides real-time feedback and statistical information on the repair situation, including repair success rate, repair time, vulnerability type distribution, etc., to help administrators fully understand the system security status. If there are still abnormalities in the feedback, manual repairs will be carried out.

[0007] As a preference, the artificial repair method in step 2) and step 6) specifically includes: a. Systematically classify the types of cases that need to be repaired manually; the types of classification include repair anomalies, operation anomalies, and detection anomalies; b. Generate repair strategies for abnormal situations; c. Repair the generated repair strategy through the corresponding code; d. After the repair is complete, return to step 1) for deployment.

[0008] Preferably, the identification method in step 2) includes: using static analysis tools: Fortify, Checkmarx, dynamic scanning tools: Nessus, OpenVAS and behavioral analysis technology: Web Application Firewall4 to achieve comprehensive detection and identification of vulnerabilities.

[0009] Preferably, the repair strategy generation may adopt decision tree and random forest in computer learning algorithm, or adopt Drools and jess rule engine.

[0010] Preferably, the repair code generation can be automatically repaired by using a scripting language and an automated construction tool, wherein the scripting language includes: python or bash, and the automated construction tool includes: jenkins, Gitlab CL / CD.

[0011] Preferably, the code is repaired using a containerization tool or a configuration management tool, wherein the containerization tools include: Docker, kubernetes, and the configuration management tools include Ansible, Chdf.

[0012] As a preferred embodiment: the real-time alarm and feedback data in step 6) are sent to a log management tool for storage and management, and are manually viewed and managed.

[0013] The beneficial effects of the present invention are as follows: Intelligent vulnerability monitoring and detection: The system uses advanced monitoring and detection technologies to monitor the security status of Web applications in real time. It can quickly and accurately discover various vulnerabilities and effectively classify and evaluate them.

[0014] Intelligent automatic repair strategy: The system adopts an intelligent automatic repair strategy, which can automatically select the appropriate repair plan according to factors such as the severity of the vulnerability, the scope of impact, and the actual application environment, to avoid incorrect repairs and missed repairs.

[0015] High-efficiency vulnerability repair: The system can quickly respond to and repair Web vulnerabilities, shorten the repair cycle, improve repair efficiency, and ensure the security and reliability of Web applications.

[0016] Improved system stability and reliability: Through intelligent self-repair mechanisms and strict security monitoring, the system can improve system stability and reliability, and reduce the occurrence of problems such as system crashes and false alarm repairs.

[0017] Strong adaptability to new vulnerabilities: The system has good learning and adaptability, and can promptly identify and respond to the emergence and spread of new vulnerabilities, and effectively deal with the attacks and impacts of unknown vulnerabilities.

[0018] Reduced resource costs and manpower consumption: The system implements an automated vulnerability monitoring and repair process, reduces human resource investment and management costs, and improves system operation efficiency and management convenience.

[0019] Privacy and security protection: The system effectively protects user privacy data and key system information, and has good security and privacy protection measures to ensure that the system does not leak sensitive information during the automatic repair process.

[0020] Good integration with existing security systems: The system can be effectively integrated with existing security systems and work in conjunction with security monitoring systems and vulnerability scanning systems, thereby improving the efficiency and level of overall security management.

[0021] The Agent-based Java application vulnerability self-repair method designed by the present invention can well realize real-time monitoring, intelligent identification and automatic repair of Web vulnerabilities, thereby improving the security and reliability of Web applications. At the same time, it optimizes resource allocation, reduces resource waste, and reduces system complexity and maintenance costs, providing users with an efficient and stable service experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to more clearly understand the objectives, technical solutions and advantages of the present invention, the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0024] In the description of the present invention, it is necessary to understand that the orientation or position relationship indicated by the terms such as "up", "down", "left", "right", "inside", "outside", "horizontal" and "vertical" is based on the orientation or position relationship shown in the accompanying drawings, and is only for the convenience of describing the present invention, rather than indicating or implying that the device or element referred to must have a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0025] The present invention will be described in detail below with reference to the accompanying drawings: Figure 1 As shown, a Java application vulnerability self-repair method based on Agent, the method comprises the following steps: 1) Deploy Agent 1: Deploy Agent on the Web server, application program, or network device to achieve comprehensive monitoring and protection of Web applications; 2) Vulnerability Identification 2: Through comprehensive scanning and analysis of Web applications, potential security vulnerabilities are identified, and the vulnerabilities are classified and rated to facilitate the generation and execution of subsequent intelligent repair strategies. If the scanning and analysis fails, manual repair is performed; 3) Repair strategy generation 3: Based on the vulnerability identification results, the system automatically generates intelligent repair strategies for different vulnerability types and hazard levels; 4) Repair code generation 4: Based on the generated repair strategy, the system automatically generates vulnerability repair code or configuration file; 5) Automated deployment 5: The repair code is automatically deployed to the production environment and monitored and verified in real time; 6) Real-time alarm and feedback 6: The system monitors abnormal situations during the repair process in real time and promptly alarms relevant personnel. At the same time, the system provides real-time feedback and statistical information on the repair situation, including repair success rate, repair time, vulnerability type distribution, etc., to help administrators fully understand the system security status. If there are still abnormalities in the feedback, manual repairs will be carried out.

[0026] The artificial repair method in step 2) and step 6) specifically includes: a. Systematize the types of items that enter manual repair 7; the types of classification include repair anomaly, operation anomaly, and detection anomaly; b. Generate a repair strategy for abnormal situations 8; c. Repair the generated repair strategy through the corresponding code 9; d. After the repair is completed, return to step 1) for deployment.

[0027] The identification method in step 2) includes: using static analysis tools: Fortify, Checkmarx, dynamic scanning tools: Nessus, OpenVAS and behavioral analysis technology: Web Application Firewall4 to achieve comprehensive detection and identification of vulnerabilities.

[0028] The repair strategy generation 8 may adopt decision trees and random forests in computer learning algorithms, or adopt Drools and jess rule engines.

[0029] The repair code generation 4 can use scripting language and automatic construction tools for automatic repair, wherein the scripting language includes: python or bash, and the automatic construction tools include: jenkins, Gitlab CL / CD.

[0030] The code is repaired 9 using containerization tools or configuration management tools, wherein the containerization tools include: Docker, kubernetes, and the configuration management tools include Ansible, Chdf.

[0031] The data of the real-time alarm and feedback 6 in step 6) is sent to a log management tool for storage and management, and is manually viewed and managed.

[0032] The core functions of the present invention are as follows: Real-time monitoring and identification: By deploying Agents, vulnerability activities can be monitored in real time in Web applications, including the detection of known and unknown vulnerabilities.

[0033] Intelligent repair strategy: The system has built-in intelligent repair strategies and rules, which can automatically select the best repair plan based on vulnerability type and hazard level.

[0034] Automated repair process: The system implements a fully automated process for vulnerability repair, including vulnerability verification, repair code generation and deployment, etc.

[0035] Real-time alarm and feedback: The system can alert administrators in real time and provide feedback and statistical information on vulnerability repair status. Example

[0036] Vulnerability identification in the present invention can use static analysis tools (such as Fortify, Checkmarx, etc.), dynamic scanning tools (such as Nessus, OpenVAS, etc.) and behavioral analysis technology (such as Web Application Firewall) to achieve comprehensive detection and identification of vulnerabilities.

[0037] In terms of repair strategy generation, the system can combine vulnerability libraries, security specifications and best practices to generate intelligent repair strategies through rule engines or machine learning algorithms. The repair code generation module can use template technology and automated script generation tools to achieve rapid generation and deployment of repair codes.

[0038] In terms of technical details, the system may involve secure communication protocols (such as HTTPS), data encryption algorithms (such as AES, RSA), identity authentication and authorization mechanisms (such as OAuth, JWT), containerization technologies (such as Docker, Kubernetes), automated deployment tools (such as Jenkins, Ansible), etc.

[0039] The Agent-based Java application vulnerability self-repair method designed by the present invention can well realize real-time monitoring, intelligent identification and automatic repair of Web vulnerabilities, thereby improving the security and reliability of Web applications. At the same time, it optimizes resource allocation, reduces resource waste, and reduces system complexity and maintenance costs, providing users with an efficient and stable service experience.

[0040] The specific embodiments described herein are merely illustrative of the principles and effects of the present invention and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical ideas disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. An Agent-based Java application vulnerability self-repair method, characterized by: The method comprises the following steps: 1) Deploy Agent: Deploy Agent on the Web server, application program or network device to achieve comprehensive monitoring and protection of Web applications; 2) Vulnerability identification: Through comprehensive scanning and analysis of Web applications, potential security vulnerabilities are identified, and the vulnerabilities are classified and rated to facilitate the generation and execution of subsequent intelligent repair strategies. If the scanning and analysis fail, manual repair is performed; 3) Repair strategy generation: Based on the vulnerability identification results, the system automatically generates intelligent repair strategies for different vulnerability types and hazard levels; 4) Repair code generation: Based on the generated repair strategy, the system automatically generates vulnerability repair code or configuration files; 5) Automated deployment: The repair code is automatically deployed to the production environment and monitored and verified in real time; 6) Real-time alarm and feedback: The system monitors abnormal situations during the repair process in real time and promptly alarms relevant personnel. At the same time, the system provides real-time feedback and statistical information on the repair situation, including repair success rate, repair time, vulnerability type distribution, etc., to help administrators fully understand the system security status. If there are still abnormalities in the feedback, manual repairs will be carried out.

2. The Agent-based Java application vulnerability self-repair method according to claim 1, characterized in that: The artificial repair method in step 2) and step 6) specifically includes: a. Systematically classify the types of cases that need to be repaired manually; the types of classification include repair anomalies, operation anomalies, and detection anomalies; b. Generate repair strategies for abnormal situations; c. Repair the generated repair strategy through the corresponding code; d. After the repair is complete, return to step 1) for deployment.

3. The Agent-based Java application vulnerability self-repair method according to claim 1, characterized in that: The identification method in step 2) includes: using static analysis tools: Fortify, Checkmarx, dynamic scanning tools: Nessus, OpenVAS and behavioral analysis technology: Web Application Firewall4 to achieve comprehensive detection and identification of vulnerabilities.

4. The Agent-based Java application vulnerability self-repair method according to claim 1 or 2, characterized in that: The repair strategy generation may adopt decision trees and random forests in computer learning algorithms, or adopt Drools and jess rule engines.

5. The Agent-based Java application vulnerability self-repair method according to claim 1 or 2, characterized in that: The repair code generation can be automatically repaired by using a scripting language and an automated construction tool, wherein the scripting language includes: python or bash, and the automated construction tool includes: jenkins, Gitlab CL / CD.

6. The Agent-based Java application vulnerability self-repair method according to claim 1 or 2, characterized in that: The code is repaired using containerization tools or configuration management tools, wherein the containerization tools include: Docker, kubernetes, and the configuration management tools include Ansible, Chdf.

7. The Agent-based Java application vulnerability self-repair method according to claim 1, characterized in that: The real-time alarm and feedback data in step 6) are sent to a log management tool for storage and management, and are manually viewed and managed.

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