What is the CVSS score of CVE-2024-4343?

CVE-2024-4343 has a CVSS 3.1 base score of 9.8 (Critical). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H. EPSS exploitation probability: 2.6%.

Is there a public PoC exploit available for CVE-2024-4343?

Yes, a public proof-of-concept exploit is available for CVE-2024-4343. Prioritise patching immediately. EPSS: 2.6%.

Is there a patch available for CVE-2024-4343?

Yes, a patch is available for CVE-2024-4343. Update the affected software to the latest version immediately.

Python CVE-2024-4343

Q: Which versions of Python are affected by CVE-2024-4343?

A Python command injection vulnerability exists in the `SagemakerLLM` class's `complete()` method within `./private_gpt/components/llm/custom/sagemaker.py` of the imartinez/privategpt application,.. A patch is available.

CRITICAL

OS Command Injection (CWE-78)

2024-11-14 security@huntr.dev

Python Command Injection Privategpt

9.8

CVSS 3.1 · Vendor: huntr

Severity by source

Vendor (huntr) PRIMARY

9.8 CRITICAL

AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Primary rating from Vendor (huntr) · only source for this CVE.

CVSS VectorVendor: huntr

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

CVE Published

Nov 14, 2024 - 18:15 cve.org

CRITICAL 9.8

DescriptionCVE.org

A Python command injection vulnerability exists in the SagemakerLLM class's complete() method within ./private_gpt/components/llm/custom/sagemaker.py of the imartinez/privategpt application, versions up to and including 0.3.0. The vulnerability arises due to the use of the eval() function to parse a string received from a remote AWS SageMaker LLM endpoint into a dictionary. This method of parsing is unsafe as it can execute arbitrary Python code contained within the response. An attacker can exploit this vulnerability by manipulating the response from the AWS SageMaker LLM endpoint to include malicious Python code, leading to potential execution of arbitrary commands on the system hosting the application. The issue is fixed in version 0.6.0.

AnalysisAI

A Python command injection vulnerability exists in the SagemakerLLM class's complete() method within ./private_gpt/components/llm/custom/sagemaker.py of the imartinez/privategpt application,. Rated critical severity (CVSS 9.8), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code available.

Technical ContextAI

This vulnerability is classified as OS Command Injection (CWE-78), which allows attackers to execute arbitrary operating system commands on the host. A Python command injection vulnerability exists in the SagemakerLLM class's complete() method within ./private_gpt/components/llm/custom/sagemaker.py of the imartinez/privategpt application, versions up to and including 0.3.0. The vulnerability arises due to the use of the eval() function to parse a string received from a remote AWS SageMaker LLM endpoint into a dictionary. This method of parsing is unsafe as it can execute arbitrary Python code contained within the response. An attacker can exploit this vulnerability by manipulating the response from the AWS SageMaker LLM endpoint to include malicious Python code, leading to potential execution of arbitrary commands on the system hosting the application. The issue is fixed in version 0.6.0. Affected products include: Pribai Privategpt. Version information: version 0.6.0..

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Avoid passing user input to shell commands. Use language-specific APIs instead of shell execution. Apply strict input validation with allowlists.