# Amazon Q VS Extension Vulnerability Exposes Cloud Credentials Through Malicious Repository Injection


A critical flaw in Amazon Q's Visual Studio extension has been discovered that allows attackers to execute arbitrary code and steal cloud credentials by exploiting the Model Context Protocol (MCP) integration. The vulnerability demonstrates an emerging class of supply chain risks targeting developer tools and cloud environments.


## The Threat


The vulnerability in the Amazon Q VS Code extension creates a direct pathway for attackers to compromise developer machines and extract sensitive cloud credentials. By crafting a malicious repository—potentially disguised as a legitimate project or library—adversaries can trigger code execution with the privileges of the developer's IDE session.


Key vulnerability characteristics:


  • Attack Vector: Malicious Git repositories containing crafted configuration files
  • Impact Level: High — arbitrary code execution and cloud credential exfiltration
  • Attack Complexity: Low — requires only repository access, not sophisticated exploitation techniques
  • Scope: Any developer using Amazon Q with VS Code extension and accessing untrusted repositories

    • The flaw highlights a fundamental risk in the increasingly interconnected developer ecosystem, where tools integrate deeply with version control systems, cloud platforms, and AI assistants.


    ## Background and Context


    ### Amazon Q Overview

    Amazon Q is AWS's AI-powered coding assistant, designed to help developers write code more efficiently. It's available as a plugin for popular IDEs including Visual Studio Code, JetBrains IDEs, and Visual Studio. The extension seamlessly integrates with developers' existing workflows to provide code suggestions, answer documentation questions, and analyze code quality.


    ### Model Context Protocol (MCP)

    The Model Context Protocol represents a new standardization effort for AI assistants to access external tools and data sources. MCP allows AI models to:

  • Read files from local repositories
  • Access version control system information
  • Query external APIs and databases
  • Execute context-gathering operations

    • While MCP aims to extend AI capabilities safely, this vulnerability reveals that the protocol's resource access mechanisms can be weaponized if not properly sandboxed.


    ### The VS Code Extension Landscape

    Visual Studio Code extensions have become a frequent target for supply chain attacks. Extensions operate with broad access to:

  • File system operations
  • IDE configuration and secrets
  • Terminal and process execution
  • Workspace contents and Git repositories

    • ## Technical Details


    ### How the Exploit Works


    The vulnerability follows a relatively straightforward attack chain:


    | Stage | Description |

    |-------|-------------|

    | 1. Repository Creation | Attacker creates a malicious Git repository with specially crafted files |

    | 2. Social Engineering | Malicious repo is shared as a legitimate project, library, or forked contribution |

    | 3. Repository Cloning | Developer clones the repository into their local workspace |

    | 4. Amazon Q Activation | IDE opens the malicious repository, triggering Amazon Q context gathering |

    | 5. MCP Exploitation | Malicious configuration exploits MCP's file/command execution capabilities |

    | 6. Code Execution | Arbitrary code runs in the context of the developer's session |

    | 7. Credential Theft | AWS credentials, API keys, and other secrets are exfiltrated |


    ### Technical Root Cause


    The vulnerability stems from insufficient validation of repository configuration files processed by the Amazon Q extension's MCP integration. The extension trusts certain configuration directives without proper sandboxing, allowing:


  • Execution of shell commands embedded in repository metadata
  • Reading of sensitive files from the developer's home directory or project workspace
  • Interaction with AWS credential stores (.aws/credentials, environment variables)
  • Bypass of IDE-level security controls

    • Example attack scenario:

    A .amazon-q-config or similar metadata file in the repository root could contain directives that, when processed by the MCP integration, execute code to extract AWS credentials and transmit them to an attacker-controlled server.


    ## Implications for Organizations


    ### Developer Environment Compromise

    This vulnerability transforms a developer's IDE from a safe productivity tool into a potential attack surface. Developers who work with multiple repositories—as is standard practice—face heightened risk without obvious visual indicators of exploitation.


    ### Supply Chain Risk Amplification

    The threat model extends beyond individual developers:


  • Compromised Dependencies: A malicious package or forked repository in a supply chain could compromise all developers working on that project
  • Credential Cascade: Stolen AWS credentials often grant access to entire cloud infrastructures, CI/CD pipelines, and data repositories
  • Insider Access: A developer's compromised machine could become a foothold for lateral movement within an organization's infrastructure

    • ### Cloud Infrastructure Exposure

    Organizations using AWS (which encompasses an enormous portion of cloud infrastructure) face particular risk. Compromised credentials could enable:

  • Theft of source code and intellectual property
  • Deployment of backdoors or cryptominers
  • Access to production databases and customer data
  • Modification of infrastructure to establish persistence

    • ## Recommendations


    ### For Individual Developers


    1. Update immediately — Install the latest patched version of the Amazon Q VS Code extension

    2. Audit recent repositories — Review Git history for any repositories cloned in recent weeks, particularly from untrusted or newly-discovered sources

    3. Rotate credentials — Replace all AWS credentials, API keys, and secrets that were present in your development environment

    4. Monitor AWS CloudTrail — Check for unusual API activity associated with your compromised credentials

    5. Scan for persistence — Run security scans on your development machine for signs of compromise


    ### For Security Teams


    1. Inventory Amazon Q deployments — Identify all developers and systems using the Amazon Q VS Code extension

    2. Patch management — Establish expedited patching processes for IDE plugins and development tools

    3. Credential rotation policy — Mandate rotation of AWS credentials with evidence that developer machines are compromised

    4. MCP security assessment — Evaluate which MCP integrations your organization uses and establish security baselines

    5. Repository access controls — Implement policies restricting which repositories developers can access, particularly external sources


    ### For AWS and Development Tool Vendors


    1. Sandbox MCP resources — Implement strict sandboxing for Model Context Protocol resource access

    2. Configuration validation — Validate and sanitize all repository metadata before processing

    3. Privilege separation — Ensure IDE extensions run with minimal required privileges

    4. Transparency — Document exactly what resources and operations extensions can access

    5. Security advisories — Establish clear vulnerability disclosure and patching timelines


    ## HackWire Analysis


    This vulnerability represents a critical inflection point in the evolution of developer tool security. As AI assistants become standard components in IDEs, the attack surface expands dramatically—and the stakes grow proportionally.


    The genius of this attack is its simplicity and leverage. MCP was designed to give AI tools contextual access to repositories and systems, but that same capability becomes a weapon when a malicious repository exploits it. This is not a complex zero-day requiring deep reverse engineering; it's a straightforward abuse of intended functionality combined with inadequate validation.


    What makes this particularly dangerous is the *normalization of credential theft* as an objective. Traditional IDE plugin attacks sought to deliver malware or establish persistence. This vulnerability goes directly for the credentials, understanding that in cloud-native environments, credentials *are* the infrastructure. A developer's AWS credentials are often worth more than the source code itself.


    The pattern extends beyond Amazon Q. As Microsoft's Copilot, JetBrains AI Assistant, and other AI tools proliferate, each one represents a new attack surface. Every tool that reads repository contents, integrates with version control, or processes project metadata becomes a potential credential exfiltration channel. Organizations betting heavily on AI-assisted development need to understand that they're expanding their threat model, not just their productivity.


    The hidden risk here is *supply chain acceleration*. A compromised repository can now compromise every developer who works on that project simultaneously—not through malware, but through the trusted tools they use daily. This transforms the economics of supply chain attacks in ways the security industry hasn't fully reckoned with yet.


    Defenders should treat all developer tools with the same rigor applied to production systems: assume compromise, require credential rotation, monitor for lateral movement, and implement least-privilege access models. The developer machine is no longer merely a tool—it's a critical access point to infrastructure.


    — HackWire Editorial


    ## Related Coverage


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