--- url: "https://www.xcademia.com/news/aws-fixes-command-injection-vulnerability-in-amazon-agent-plugins" title: AWS Fixes Command Injection Vulnerability in Amazon Agent Plugins description: "AWS fixes CVE-2026-107322, an OS command injection flaw in databases-on-aws. Upgrade to version 1.7.1 or later and review permissions." publishedAt: "2026-10-09T11:55:07.328+00:00" updatedAt: "2026-10-11T08:30:15.202216+00:00" type: news category: "cloud-security" source_name: "Amazon Web Services (AWS), Security Bulletins" source_url: "https://aws.amazon.com/security/security-bulletins/2026-130-aws/" tags: - "#Cybersecurity" - "#AWS" - "#CloudSecurity" - "#Vulnerability" - "#CommandInjection" - "#CVE2026107322" - "#AIcodingAgents" - "#AWSIAM" --- # AWS Fixes Command Injection Vulnerability in Amazon Agent Plugins > AWS has fixed CVE-2026-107322, an OS command injection vulnerability affecting databases-on-aws plugin versions 1.0.0 through 1.7.0. Users should upgrade to version 1.7.1 or later and verify that the patched plugin is active. Source: **Amazon Web Services (AWS), Security Bulletins** · 9 October 2026 Amazon Web Services (AWS) has published a security bulletin for **CVE-2026-107322**, an operating-system (OS) command injection vulnerability affecting the `databases-on-aws` plugin in Amazon Agent Plugins for AWS. The vulnerability affects versions **1.0.0 through 1.7.0**. AWS says an incomplete list of disallowed inputs could allow a remote, unauthenticated actor to supply crafted content that an AI coding agent ingests. If the agent subsequently invokes a local helper with the crafted database command value, operating-system command execution on the host is possible. AWS has included the fix in `databases-on-aws` version **1.7.1 and later**. The company recommends upgrading to the latest version, confirming that the updated plugin is active in every environment where it is used, and ensuring that any forked or derivative code includes the fix. The bulletin was published on October 8, 2026, under identifier **2026-130-AWS**. ## What Is CVE-2026-107322? CVE-2026-107322 is an OS command injection vulnerability in the `databases-on-aws` plugin, part of Amazon Agent Plugins for AWS. Amazon Agent Plugins for AWS is an open-source collection of plugins that extends supported AI coding agents with AWS-focused workflows and tool integrations. The `databases-on-aws` plugin provides guidance for database design, development, migration, and operations. It also includes helper scripts for Aurora DSQL. According to AWS, the vulnerability stems from an incomplete list of disallowed inputs. A remote, unauthenticated actor could supply crafted content that an agent ingests. If the agent later invokes the local helper with a crafted database command value, the vulnerable code path could permit operating-system command execution on the host. The resulting command would run with the permissions of the process running the helper. This distinction is important: **the vulnerable code is not a listening network service**. The bulletin describes a conditional execution path that requires the agent to invoke the local helper with the crafted value. It does not say that simply exposing the plugin automatically enables direct remote command execution. AWS also states that the issue does not affect the Aurora DSQL service itself and does not bypass database privileges. ## Which Versions Are Affected? AWS identifies the following affected range: - **Affected versions:** `databases-on-aws` 1.0.0 through 1.7.0 - **Fixed version:** `databases-on-aws` 1.7.1 and later - **Recommended action:** Upgrade to the latest version and verify that the patched plugin is active. The fix became available through the marketplace, which is served from the repository's main branch, on August 26, 2026, according to the AWS bulletin. However, organisations should not assume that every environment automatically received the fix. Deployments may use different installation methods, pinned repository revisions, or forked code. AWS specifically advises customers using a pinned repository revision to use commit `8b13a503746a4ebb0402b936645163224058bde3` or later, rather than relying on a `1.7.1` release tag. Teams should verify the actual code and version active in each environment instead of relying only on the version listed in a central configuration or deployment plan. ## ![info-1](https://0a515t3ure77wbvx.public.blob.vercel-storage.com/articles/1791546211134-info-1--206-.webp) ## Why the Vulnerability Matters OS command injection occurs when an application handles input in a way that allows unintended operating-system commands to be interpreted or executed. In this case, AWS attributes the issue to incomplete input restrictions in the `databases-on-aws` plugin. The risk described in the bulletin depends on how an agent processes crafted content and whether it subsequently invokes the local helper using the affected database command value. The potential impact is tied to the permissions of the process running that helper. This makes the helper's execution context an important part of the risk assessment. For example, a helper running with broad operating-system permissions or access to sensitive credentials could expose more resources than one running under a tightly restricted account. AWS therefore recommends reducing the privileges available to the agent and helper as an additional precaution. The bulletin does not provide a CVSS score, a quantified impact assessment, or information confirming exploitation in the wild. Additional details were not disclosed in the announcement. ## The Fix: Upgrade to Version 1.7.1 or Later AWS identifies `databases-on-aws` 1.7.1 and later as containing the fix. Organisations should take the following steps: 1. **Identify affected installations.** Find every environment using `databases-on-aws` versions 1.0.0 through 1.7.0. 2. **Upgrade the plugin.** Install the latest available version that includes the fix. 3. **Verify the active version.** Confirm that the updated plugin is actually loaded and used by each supported AI coding agent. 4. **Check pinned revisions.** If an environment uses a pinned repository revision, use commit `8b13a503746a4ebb0402b936645163224058bde3` or later, as AWS recommends. 5. **Inspect forks and derivatives.** Ensure that custom forks and derived implementations incorporate the fix rather than continuing to use vulnerable code. These steps matter because updating a repository, package source, or development environment does not necessarily mean that every running agent has switched to the corrected implementation. Organisations should verify the result in their own deployments. ## ![info-2](https://0a515t3ure77wbvx.public.blob.vercel-storage.com/articles/1791546231813-info-2--188-.webp) ## Workarounds for Organisations That Cannot Upgrade Immediately AWS provides temporary mitigation options for customers who cannot upgrade straight away. These measures reduce potential impact but do not replace the recommended fix. ### Avoid the optional psql helper command path AWS recommends avoiding the optional `psql` connection helper command path and using only manually reviewed SQL if an immediate upgrade is not possible. The bulletin also identifies another option: use the DSQL MCP server provided through the plugin instead of the helper. These alternatives should be assessed against the organisation's requirements and implemented with appropriate review and testing. ### Restrict operating-system and AWS permissions AWS recommends running the agent and helper as an unprivileged operating-system user. It also advises using a dedicated AWS IAM role limited to `dsql:DbConnect`, together with a scoped database role, preferably read-only where appropriate. AWS specifically warns against using administrative access or granting `dsql:DbConnectAdmin` for routine agent operations. These restrictions can limit the permissions available to the process if the vulnerable code path is triggered. They do not eliminate the underlying vulnerability. ### Review credentials if unauthorised access is suspected If an organisation has reason to believe that the helper host was accessed inappropriately, AWS recommends rotating or revoking AWS credentials available to that process. Teams should also review, revoke, or replace the database roles and IAM-to-database role mappings accessible to it. The appropriate response will depend on the environment and the evidence available. Organisations should investigate relevant logs and access records as part of their incident-response process. ![info-3](https://0a515t3ure77wbvx.public.blob.vercel-storage.com/articles/1791546272763-info-3--176-.webp) ## What Security and Development Teams Should Review The bulletin highlights a broader security consideration for organisations adopting AI coding agents: the risk assessment needs to cover not only the agent's features but also the tools it can invoke, the input those tools process, and the permissions available to their processes. For teams using plugins that interact with databases or local command-line utilities, practical review areas include: - **Plugin inventory:** Maintain visibility into installed plugin versions and where they are active. - **Input handling:** Review how crafted or externally supplied content reaches local helper commands. - **Execution boundaries:** Understand which local tools an agent can invoke and under what conditions. - **Permission scope:** Limit operating-system, IAM, and database privileges to what routine operations require. - **Update verification:** Confirm that fixed versions are active across development environments and custom deployments. - **Incident readiness:** Establish a response plan for reviewing credentials, database roles, and access records if a helper host may have been accessed improperly. These are general security implications drawn from the vulnerability description and AWS's mitigation guidance. They should not be interpreted as additional findings or requirements explicitly asserted by AWS. ## Disclosure and Official References AWS credited Shay Sakazi, identified as `@shaysakazi`, for collaborating on the issue through the coordinated vulnerability disclosure process. Readers can consult the original records for the authoritative technical details and remediation guidance: - [AWS Security Bulletin 2026-130-AWS](https://aws.amazon.com/security/security-bulletins/2026-130-aws/) - [CVE-2026-107322](https://www.cve.org/CVERecord?id=CVE-2026-107322) - [GitHub Security Advisory GHSA-x7f2-wxc8-qpxq](https://github.com/awslabs/agent-plugins/security/advisories/GHSA-x7f2-wxc8-qpxq) - [AWS Agent Plugins fixed commit](https://github.com/awslabs/agent-plugins/commit/8b13a503746a4ebb0402b936645163224058bde3) ## Conclusion CVE-2026-107322 affects `databases-on-aws` versions 1.0.0 through 1.7.0 and involves a conditional OS command injection path through a local helper. AWS says the issue does not affect the Aurora DSQL service itself or bypass database privileges. The primary remediation is to upgrade to version 1.7.1 or later, verify that the patched plugin is active, and ensure that pinned revisions, forks, and derivative code include the fix. For organisations that cannot upgrade immediately, AWS recommends avoiding the optional `psql` helper path, using manually reviewed SQL or the plugin's DSQL MCP server, and restricting the permissions available to the agent and helper. The key operational lesson is to verify both the software fix and the privileges available to the process that runs it. Temporary mitigations can reduce potential impact, but upgrading remains AWS's recommended resolution. ## Original source https://aws.amazon.com/security/security-bulletins/2026-130-aws/ ## Tags `#Cybersecurity` · `#AWS` · `#CloudSecurity` · `#Vulnerability` · `#CommandInjection` · `#CVE2026107322` · `#AIcodingAgents` · `#AWSIAM` --- ## About this content This Markdown news article is the citation-grade twin of [AWS Fixes Command Injection Vulnerability in Amazon Agent Plugins](https://www.xcademia.com/news/aws-fixes-command-injection-vulnerability-in-amazon-agent-plugins). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite. 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