CVE-2026-12530

June 17, 2026, 10:16 p.m.

8.4
High

Description

Improper neutralization of argument delimiters in the install_packages() method in AWS Bedrock AgentCore Python SDK versions >= 1.1.3 and < 1.6.1 might allow a remote authenticated user to execute arbitrary commands within the Code Interpreter sandbox via crafted package name arguments. To mitigate this issue, users should upgrade to version 1.6.1.

Product(s) Impacted

Vendor Product Versions
Amazon
  • Aws Bedrock Agentcore Python Sdk
  • 1.1.3-*, <1.6.1

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-88
Improper Neutralization of Argument Delimiters in a Command ('Argument Injection')
The product constructs a string for a command to be executed by a separate component in another control sphere, but it does not properly delimit the intended arguments, options, or switches within that command string.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a amazon aws_bedrock_agentcore_python_sdk 1.1.3-* / / / / / /
a amazon aws_bedrock_agentcore_python_sdk <1.6.1 / / / / / /

CVSS Score

8.4 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: ACTIVE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:A/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: June 17, 2026, 10:16 p.m.
Last Modified: June 17, 2026, 10:16 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

ff89ba41-3aa1-4d27-914a-91399e9639e5

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.