Sandbox Process Creation

[pixeebot[bot]]

This codemod sandboxes all instances of subprocess.run and subprocess.call to offer protection against attack.

Left unchecked, subprocess.run and subprocess.call can execute any arbitrary system command. If an attacker can control part of the strings used as program paths or arguments, they could execute arbitrary programs, install malware, and anything else they could do if they had a shell open on the application host.

Our change introduces a sandbox which protects the application:

  import subprocess
+ from security import safe_command
  ...
- subprocess.run("echo 'hi'", shell=True)
+ safe_command.run(subprocess.run, "echo 'hi'", shell=True)
  ...
- subprocess.call(["ls", "-l"])
+ safe_command.call(subprocess.call, ["ls", "-l"])

The default safe_command restrictions applied are the following:

• Prevent command chaining. Many exploits work by injecting command separators and causing the shell to interpret a second, malicious command. The safe_command functions attempt to parse the given command, and throw a SecurityException if multiple commands are present.
• Prevent arguments targeting sensitive files. There is little reason for custom code to target sensitive system files like /etc/passwd, so the sandbox prevents arguments that point to these files that may be targets for exfiltration.

There are more options for sandboxing if you are interested in locking down system commands even more.

Dependency Updates

This codemod relies on an external dependency. We have automatically added this dependency to your project's requirements.txt file.

This library holds security tools for protecting Python API calls.

There are a number of places where Python project dependencies can be expressed, including setup.py, pyproject.toml, setup.cfg, and requirements.txt files. If this change is incorrect, or if you are using another packaging system such as poetry, it may be necessary for you to manually add the dependency to the proper location in your project.

More reading

* [https://github.com/pixee/python-security/blob/main/src/security/safe_command/api.py](https://github.com/pixee/python-security/blob/main/src/security/safe_command/api.py) * [https://cheatsheetseries.owasp.org/cheatsheets/OS_Command_Injection_Defense_Cheat_Sheet.html](https://cheatsheetseries.owasp.org/cheatsheets/OS_Command_Injection_Defense_Cheat_Sheet.html)

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Feedback | Community | Docs | Codemod ID: pixee:python/sandbox-process-creation

Summary by Sourcery

Enhance security by sandboxing subprocess calls using the 'safe_command' module to prevent command injection attacks. Update the project's dependencies to include the 'security' library necessary for this functionality.

Enhancements:

• Introduce a sandbox mechanism for subprocess calls to enhance security by preventing command chaining and restricting arguments targeting sensitive files.

Build:

• Add 'security' library version 1.3.1 to the project's requirements.txt to support the new sandboxing functionality.

[cr-gpt[bot]]

Seems you are using me but didn't get OPENAI_API_KEY seted in Variables/Secrets for this repo. you could follow readme for more information

[korbit-ai[bot]]

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[code-companion-ai[bot]]

Processing PR updates...

[git-greetings[bot]]

Thanks @pixeebot[bot] for opening this PR!

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[performance-testing-bot[bot]]

Unable to locate .performanceTestingBot config file

[sourcery-ai[bot]]

Reviewer's Guide by Sourcery

This PR implements security improvements by sandboxing subprocess calls to prevent command injection attacks. The implementation wraps existing subprocess.run and subprocess.Popen calls with safe_command functions from the security package, which adds protection against command chaining and sensitive file access.

Sequence diagram for sandboxed subprocess call

sequenceDiagram
    participant User
    participant Application
    participant safe_command
    participant subprocess
    User->>Application: Request to execute command
    Application->>safe_command: safe_command.run(subprocess.Popen, commands)
    safe_command->>subprocess: Popen(commands, stdout=PIPE)
    subprocess-->>safe_command: Output
    safe_command-->>Application: Output
    Application-->>User: Response with command output

Class diagram for subprocess sandboxing

classDiagram
    class safe_command {
        +run(func, *args, **kwargs)
        +call(func, *args, **kwargs)
    }
    class subprocess {
        +run(command, shell)
        +call(command)
        +Popen(command, stdout)
    }
    subprocess <|-- safe_command : wraps
    note for safe_command "Provides security enhancements for subprocess calls"

File-Level Changes

Change	Details	Files
Added security package dependency for safe command execution	Added security package version 1.3.1 as a new dependency	_cite/requirements.txt
Replaced unsafe subprocess call with sandboxed version	Wrapped subprocess.Popen call with safe_command.run to prevent command injection Maintained existing error handling and communication pattern	_cite/util.py

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[pep8speaks]

Hello @pixeebot[bot]! Thanks for opening this PR. We checked the lines you've touched for PEP 8 issues, and found:

• In the file _cite/util.py:

Line 179:80: E501 line too long (99 > 79 characters)

[git-greetings[bot]]

PR Details of @pixeebot[bot] in Ericsson-cognitive-labs :	OPEN	CLOSED	TOTAL
1	5	6

[code-companion-ai[bot]]

Description has been updated!

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[secure-code-warrior-for-github[bot]]

Micro-Learning Topic: OS command injection (Detected by phrase)

Matched on "command injection"

What is this? (2min video)

In many situations, applications will rely on OS provided functions, scripts, macros and utilities instead of reimplementing them in code. While functions would typically be accessed through a native interface library, the remaining three OS provided features will normally be invoked via the command line or launched as a process. If unsafe inputs are used to construct commands or arguments, it may allow arbitrary OS operations to be performed that can compromise the server.

Try a challenge in Secure Code Warrior

Helpful references

• OWASP Command Injection - OWASP community page with comprehensive information about command injection, and links to various OWASP resources to help detect or prevent it.
• OWASP testing for Command Injection - This article is focused on providing testing techniques for identifying command injection flaws in your applications

Micro-Learning Topic: Injection attack (Detected by phrase)

Matched on "injection attack"

Injection flaws, such as SQL, NoSQL, OS, and LDAP injection, occur when untrusted data is sent to an interpreter as part of a command or query. The attacker’s hostile data can trick the interpreter into executing unintended commands or accessing data without proper authorization. Source: https://www.owasp.org/index.php/Category:OWASP_Top_Ten_Project

Try a challenge in Secure Code Warrior

Helpful references

• OWASP Top Ten 2021 A03: Injection - OWASP Top Ten articles provide basic techniques to protect against these high risk problem areas, and guidance on where to go next.
• OWASP Injection Prevention Cheat Sheet in Java - This article is focused on providing clear, simple, actionable guidance for preventing injection flaws in your Java applications.
• OWASP Input Validation Cheat Sheet - This cheatsheet is focused on providing clear, simple, actionable guidance for preventing injection and input validation flaws in your applications.
• OWASP Injection Prevention Cheat Sheet - This article is focused on providing clear, simple, actionable guidance for preventing injection flaws in your applications.
• OWASP Top Ten Proactive Controls 2018 C5: Validate All Inputs - Detailed article on input validation as a programming technique for ensuring that only properly formatted data may enter a software system component.

[socket-security[bot]]

New dependencies detected. Learn more about Socket for GitHub ↗︎

Package	New capabilities	Transitives	Size	Publisher
pypi/security@1.3.1	environment, eval, filesystem, network, shell Transitive: unsafe	+730	8.24 GB	clavedeluna, pixee

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