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GHSA-j6g5-3hh3-pgw8
No affected components available
Summary
The AWS Bedrock AgentCore Python SDK (bedrock-agentcore) provides tools for building AI agents, including a Code Interpreter client that installs Python packages into a managed sandbox. An issue exists where, under certain circumstances, improper neutralization of argument delimiters in the install_packages() method allows a remote authenticated user to execute arbitrary commands within the Code Interpreter sandbox via crafted package name arguments.
Impact
Insufficient input validation in install_packages() allows specially crafted package specifiers to bypass validation and achieve arbitrary command execution within the sandbox. A remote authenticated user who can influence the arguments to install_packages() can execute arbitrary commands within the Code Interpreter sandbox environment.
Impacted Versions
< 1.18.1
Patches
This issue has been addressed in bedrock-agentcore version 1.18.1. We recommend upgrading to the latest version and ensuring any forked or derivative code is patched to incorporate the new fixes.
Workarounds
If you are not able to upgrade, do not pass untrusted or model-generated input to install_packages(). Applications that must accept dynamic package names should validate them against strict PyPI naming rules -- including constraining any extras group to comma-separated identifiers -- before calling the SDK.
References
If you have any questions or comments about this advisory, AWS asks that you contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue.
Acknowledgement
AWS would like to thank Sergio Garcia (@MrCloudSec) for collaborating on this issue through the coordinated issue disclosure process.
The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker needs basic access or low-level privileges. The attacker needs the user to perform some action, like clicking a link. The impact is confined to the system where the vulnerability exists. There is a high impact on the confidentiality of the information. There is a high impact on the integrity of the data.
Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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