Using MCP Server &Tools, executed Bank Deposit & Funds Transfer, with GitHub Copilot & Claude AI LLM

  ✅ MCP Server setup: Created a MCP server with three tools (deposit, withdraw, fund-transfer) that call the bank app APIs. 

✅ Code-base & Integration: Bank Application in Java + JavaScript, integrated with GitHub Copilot and Claude Desktop for orchestration. 

✅ Validation Layers: Every tool triggers API, database, and Selenium UI (POM) validations. 

🔵 ✔️ Example — Deposit: "Deposit 1000 → account A98D5": API, DB, and UI tests run; summary logged. 

🔵 ✔️ Example — Fund transfer: "Transfer 1000 → I6728C→ A98D5": API, DB (source & target), and UI tests run for both accounts; summary logged. 

🔵 ✔️ Claude Desktop runs the same flow — API, DB, UI validations, transaction history and overall test results reported. 

✅ Outcome: End-To-End demo showing LLM-driven orchestration of MCP Server & Tools + Multi-layer verification (API → DB → Selenium UI) with clear pass/fail summaries.

 

 

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📈 Using Selenium and Pandas to Evaluate Profitable Investment Decisions in DITQ Stock

 📈 Using Selenium and Pandas to Evaluate Profitable Investment Decisions in DITQ 

 

Stock Analyzing whether a stock such as DITQ is a profitable investment often requires up-to-date market data, historical patterns, and automated data extraction. By integrating Selenium, Pandas, and supporting Python libraries, investors can build a reliable pipeline for collecting, analyzing, and visualizing stock trends.  

This workflow combines web automation, data cleaning, and visual analytics to help you determine whether a stock is worth buying. 

🔷 Key Steps in the Selenium + Pandas Stock-Analysis Workflow 

🔹 Data Extraction with Selenium 

🔹 Using Python Requests (Where Possible) 

🔹 Data Cleaning and Structuring with Pandas 

🔹 Visualizing Stock Trends with Matplotlib 

🔹 Decision-Making for DITQ Stock 

🔷 Example Workflow Summary 

✔️ Step 1: Selenium loads a financial site and grabs live DITQ price data 

✔️ Step 2: Data is parsed and stored into Pandas DataFrames 

✔️ Step 3: Pandas computes indicators for trend evaluation 

✔️ Step 4: Matplotlib visualizes price patterns 

✔️ Step 5: Automated rules decide if DITQ is a potential buy

 

 

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VSCode Integration with Local MCP Server To Automate the P2P Business Process Flow in SAP S/4HANA

 

Overview: 

🔵 Integrate VS Code with a local AI LLM to automate the P2P (Procure-to-Pay) process flow in SAP S/4HANA. 

🔵 A local MCP server is created to host AI tools. 

🔵 The MCP server registers “test” as a tool for execution. 

🔵 A CLI interface is implemented to manage standard input/output (STD I/O). 

🔵 The CLI converts user commands into instructions understood by the MCP server. 

🔵 The MCP server receives the converted commands and executes the “test” tool. 

🔵 Results flow from the MCP server back through the CLI into VS Code, enabling automated workflow execution. 

 

Business Process Flows Automated in SAP S/4HANA: 

🔵 Purchase-to-Pay (P2P) 

 

 

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 SAP S/4HANA Business Process Flow Automation using Playwright MCP Agent

Overview:

✅ SAP S/4HANA business process flows are automated using Playwright, which is controlled by the MCP Agent.

Automation Technology:

✅ The automation is done using JavaScript and TypeScript.

✅ Playwright automation is implemented using the MCP Server/Agent.

Business Process Flows Automated in SAP S/4HANA:

✅ Purchase-to-Pay (P2P)

✅ Order-to-Cash (O2C)

✅ Project Management (Projects)

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Playwright OAuth 2.0 Security Tests Demo

 This demo illustrates how OAuth 2.0 is by passed and data are retrieved through REST API via Playwright

 

Critical Vulnerability Alert for Apache Tomcat

INTRODUCTION

Apache Tomcat, an essential open-source web server and servlet container, powers much of the web with its implementation of Jakarta Servlet, Jakarta Expression Language, and WebSocket technologies. Recent statistics reveal that 48% of developers rely on this "pure Java" HTTP web server environment, which allows Java code to run seamlessly. However, a critical vulnerability has surfaced that requires immediate attention of users and developers alike.

UNDERSTANDING THE VULNERABILITY: PATH EQUIVALENCE

The identified vulnerability, termed Path Equivalence, can lead to severe consequences, including Remote Code Execution (RCE) and information disclosure. The issue is particularly alarming due to its ability to allow malicious content to be added to uploaded files via the write-enabled Default Servlet in Apache Tomcat.

CONDITIONS FOR EXPLOITATION

The vulnerability manifests under specific conditions, primarily in certain GitHub projects that meet the following criteria:

1. Write permissions enabled for the default servlet.
2. Support for partial PUT.
3. Security-sensitive uploads directed towards a sub-directory of a public upload target URL.
4. Security-sensitive files being uploaded with a partial PUT.

Under these conditions, a malicious actor could exploit the vulnerability to view sensitive files or inject harmful content, thus executing arbitrary code.

IMPLICATIONS OF THE VULNERABILITY

The implications of this vulnerability are severe. An attacker could, if exploitation conditions are met, gain unauthorized access to sensitive information or compromise the integrity of files on the server. This necessitates a proactive approach to securing applications running under affected versions of Apache Tomcat.

AFFECTED VERSIONS AND REQUIRED ACTIONS

The after Apache Tomcat versions are affected:

• Apache Tomcat 11.0.0-M1 to 11.0.2 (fixed in 11.0.3 or later)
• Apache Tomcat 10.1.0-M1 to 10.1.34 (fixed in 10.1.35 or later)
• Apache Tomcat 9.0.0-M1 to 9.0.98 (fixed in 9.0.99 or later)

MITIGATION STEPS

To mitigate the risk associated with this vulnerability, it is highly recommended for users to update their installations to the fixed versions as mentioned above. Running outdated versions exposes systems to potential exploits that could be disastrous for both application integrity and data security.

CONCLUSION AND CALL TO ACTION

Considering this critical security vulnerability, it is imperative for all developers and organizations utilizing Apache Tomcat to take immediate action. Ensure your installations are updated to the latest patched versions.

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Security Vulnerabilities in Hitachi Vantara Pentaho Business Analytics Insights

 

Security Vulnerabilities in Hitachi Vantara Pentaho Business Analytics

In the evolving landscape of data analytics, businesses are increasingly reliant on advanced tools that enable effective data management and analysis. Hitachi Vantara’s Pentaho Business Analytics technology stands out as a critical platform that allows organizations to access, prepare, and analyze diverse data from any source and in various environments. With its robust data integration capabilities, particularly through Pentaho Data Integration, organizations can execute ETL (Extract, Transform, Load) jobs efficiently across both traditional and big data settings.

What is Pentaho?

Pentaho is an innovative data integration tool that serves as the backbone for many organizations looking to harness the power of their data. It seamlessly integrates with big data environments such as Apache Hadoop and its distributions, including Amazon, Cloudera, EMC Greenplum, MapR, and Hortonworks. Additionally, Pentaho's support for NoSQL data sources like MongoDB and HBase makes it a versatile choice for data scientists and analysts alike.

Vulnerability Details

Despite its powerful capabilities, there are potential vulnerabilities associated with certain versions of Hitachi Vantara Pentaho Business Analytics Server. The main concern lies in the access control mechanisms implemented within the platform. While these controls are designed to restrict unauthorized access and protect sensitive assets, they lack the necessary granularity. This inadequacy can lead to overly broad control policies, allowing unauthorized agents to gain access to security-sensitive assets.

Specifically, versions of the server prior to 10.2.0.0 and 9.3.0.9, have been identified as failing to perform adequate authorization checks within the user console, particularly concerning the trash content feature.

Impact of the Vulnerability`

The implications of this vulnerability are significant. It defines policy namespaces and makes authorization decisions based on the assumption that a URL is authorized. This can allow a non-authorized URL to bypass the authorization. This allow certain web services to set property values which contain Spring templates that are interpreted downstream. An attacker exploits a weakness in the configuration of access controls and is able to bypass the intended protection that these measures guard against and thereby obtain unauthorized access to the system or network, which could adversely affect downstream processes and data integrity.

Recommended Actions

To mitigate these risks, it is crucial for organizations using the affected versions of Hitachi Vantara Pentaho Business Analytics Server to take immediate action. The recommended solution is to upgrade to the latest version, specifically Pentaho version 10.2, which addresses these vulnerabilities and enhances the overall security posture of the platform.

Conclusion

As organizations continue to navigate the complexities of data analytics, ensuring the security of data management tools such as Hitachi Vantara Pentaho is paramount. While the platform offers invaluable capabilities, it is essential to remain vigilant about potential vulnerabilities and take proactive measures to safeguard sensitive information. Upgrading to the latest version not only resolves identified security risks but also optimizes the performance and functionality of the analytics platform, empowering organizations to make informed, data-driven decisions.

 

Microsoft Security Vulnerabilities in AI, Cloud, and ERP Solutions

Introduction:
In today’s rapidly evolving technological landscape, cybersecurity remains a paramount concern, especially for major players like Microsoft. The integration of Artificial Intelligence (AI), Cloud computing, and Enterprise Resource Planning (ERP) solutions can enhance business capabilities but also presents vulnerabilities that must be meticulously addressed. This article delves into some critical vulnerabilities identified in Microsoft’s systems, specifically focusing on Microsoft Copilot, Azure, and Dynamics 365.

Vulnerability Overview:

1. Copilot Studio Vulnerability:

Microsoft Copilot, an innovative AI tool, experiences a cross-site scripting (XSS) vulnerability in Copilot Studio, which could potentially allow an unauthorized attacker to escalate privileges across a network. This flaw signifies a substantial risk, particularly when Copilot is used in conjunction with other platforms.

2. Partner.microsoft.com Vulnerability:

Another significant threat lies within partner.microsoft.com. An improper access control vulnerability permits unauthenticated attackers to elevate privileges over the network. This opens the door for unauthorized access to critical business functions and sensitive information.

3. Azure Policy Watch Vulnerability:

Within Microsoft Azure, a missing authentication for a critical function vulnerability has been identified in Azure Policy Watch. This vulnerability could allow unauthorized attackers to escalate their privileges, similarly, undermining the integrity of cloud-based services.

4. Dynamics 365 Sales Vulnerability:

Finally, a spoofing vulnerability exists within Microsoft Dynamics 365 Sales. This issue may enable an authenticated attacker to deceive a user into clicking a specially crafted URL, redirecting the victim to a potentially malicious site. Such vulnerabilities can lead to data breaches and compromise user security.

Insights into Risks:

The integration of Microsoft’s technologies, particularly when employing Power Apps in tandem with Microsoft Copilot and utilizing source control systems like GitHub, raises potential security concerns. When Power App is developed in assistance with the Microsoft Copilot, partnered with source control system such as GitHub and uploaded into Cloud, using above mentioned vulnerabilities a hacker could gain access to the enterprise resources.

Recommendations:

To mitigate these vulnerabilities and protect sensitive enterprise resources, it is vital for organizations to adopt the following strategies:

o    Regularly Update Applications: Ensure that Power Apps are consistently updated to incorporate the latest security patches and enhancements.

o    Update Dynamics 365 Sales: Keep the Dynamics 365 Sales applications for Android and iOS updated to safeguard against potential threats and vulnerabilities.

Conclusion:

As businesses increasingly rely on Microsoft’s AI, Cloud, and ERP solutions, understanding and addressing associated security vulnerabilities is crucial.. By implementing regular updates and best practices in security, organizations can significantly reduce risks and protect their critical assets.