CVE-2026-4269: 
Python vulnerability analysis and mitigation

Overview

CVE-2026-4269 is an improper S3 ownership verification vulnerability in the Amazon Bedrock AgentCore Starter Toolkit that may allow a remote actor to inject code during the build process, leading to arbitrary code execution in the AgentCore Runtime. It affects all versions of the bedrock-agentcore-starter-toolkit Python package before v0.1.13, but only impacts users who built the toolkit after September 24, 2025. The vulnerability was disclosed on March 16, 2026, with a patch released the same day. It carries a CVSS v3.1 base score of 7.5 (High) and a CVSS v4.0 base score of 5.8 (Medium) (AWS Security Bulletin, Github Advisory).

Technical details

The root cause is a missing verification of S3 bucket ownership (CWE-283: Unverified Ownership) combined with the use of predictable S3 identifiers (CWE-340: Generation of Predictable Numbers or Identifiers). Because the toolkit did not confirm that the S3 bucket used during the build process was owned by the expected AWS account, a remote attacker who could claim or control a predictably named S3 bucket could place malicious artifacts there. When a user triggered a build after September 24, 2025, the toolkit would fetch and incorporate these attacker-controlled artifacts, resulting in code execution within the AgentCore Runtime. The fix, introduced in v0.1.13 via pull request #194, adds explicit S3 bucket ownership verification to prevent this substitution attack (Github Advisory, GitHub Release v0.1.13).

Impact

Successful exploitation results in a complete loss of confidentiality, integrity, and availability of the affected AgentCore resource, as attacker-controlled code executes within the AgentCore Runtime environment. This could enable data theft, unauthorized access to AWS resources accessible by the runtime, and disruption of AI agent workloads. The impact is scoped to the subsequent system (the AgentCore Runtime) rather than the build host itself, but the runtime environment may have access to sensitive data and AWS IAM permissions that could facilitate further lateral movement (Github Advisory, AWS Security Bulletin).

Exploitability

There is no public proof-of-concept exploit and no evidence of in-the-wild exploitation at this time (Github Advisory). The EPSS score is approximately 0.047–0.068%, placing it in the 21st percentile for exploitation likelihood within 30 days. Exploitation requires high attack complexity (the attacker must successfully claim or control a predictably named S3 bucket) and passive user interaction (a build must be triggered). The vulnerability is not listed in the CISA Known Exploited Vulnerabilities (KEV) catalog. No threat actor attribution has been reported (Github Advisory).

Exploitation steps

  1. Reconnaissance: Identify organizations using the bedrock-agentcore-starter-toolkit Python package in versions prior to v0.1.13 that are actively building the toolkit after September 24, 2025.
  2. Identify predictable S3 bucket name: Analyze the toolkit's build process (source code available on GitHub) to determine the naming scheme used for the S3 bucket referenced during builds, exploiting the predictable identifier generation (CWE-340).
  3. Claim or control the S3 bucket: Register or take ownership of the predictably named S3 bucket in AWS before the legitimate owner does (a "bucket squatting" or "S3 confused deputy" style attack), since the toolkit does not verify bucket ownership.
  4. Stage malicious artifacts: Upload malicious build artifacts or code to the attacker-controlled S3 bucket, designed to execute upon being incorporated into the AgentCore Runtime.
  5. Wait for victim build: When a victim user triggers a toolkit build after September 24, 2025, the toolkit fetches artifacts from the attacker-controlled S3 bucket without ownership verification.
  6. Achieve code execution: The malicious artifacts are incorporated into the AgentCore Runtime, resulting in arbitrary code execution within the victim's runtime environment (Github Advisory, AWS Security Bulletin).

Indicators of compromise

  • Network: Unexpected outbound connections from the AgentCore Runtime to unknown external IP addresses or domains; S3 API calls (GetObject, ListBucket) to S3 buckets not owned by the expected AWS account ID.
  • Logs: AWS CloudTrail logs showing S3 GetObject requests to buckets with unexpected owner account IDs during toolkit build operations; build logs referencing S3 bucket names not provisioned by the organization.
  • File System / Build Artifacts: Unexpected or unsigned build artifacts introduced into the AgentCore Runtime image; checksums of runtime artifacts not matching expected values.
  • Process: Unusual processes or network connections spawned within the AgentCore Runtime environment post-build; unexpected IAM API calls originating from the runtime (e.g., sts:GetCallerIdentity, iam:ListRoles) that may indicate post-exploitation enumeration.

Mitigation and workarounds

AWS recommends upgrading to bedrock-agentcore-starter-toolkit version v0.1.13 or later immediately, which adds S3 bucket ownership verification to the build process (pip install bedrock-agentcore-starter-toolkit==0.1.13). Users who built the toolkit before September 24, 2025, or who are already on v0.1.13 or higher, are not affected and do not need to take action. No configuration-based workaround is available; upgrading is the only remediation. Organizations should also review S3 bucket access controls and verify that build-related S3 buckets are owned by the expected AWS account (AWS Security Bulletin, GitHub Release v0.1.13).

Community reactions

The vulnerability received moderate attention in the security community upon disclosure on March 16, 2026, with coverage appearing on Mastodon security feeds, infosec.exchange, and vulnerability tracking platforms shortly after publication. The AWS security team published a formal bulletin (2026-008-AWS) and coordinated disclosure through GitHub Advisories. No notable independent researcher commentary or major media coverage has been identified beyond standard vulnerability database aggregation.

Additional resources


Source: This report was generated using AI

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