Hardening suggestions for insecure-kubernetes-deployments / pixeebot/drip-2024-12-19-pixee-python/add-requests-timeouts

[pixeebot]

I've reviewed the recently opened PR (66 - Add timeout to requests calls) and have identified some area(s) that could benefit from additional hardening measures.

These changes should help prevent potential security vulnerabilities and improve overall code quality.

Thank you for your consideration!
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[dryrunsecurity]

DryRun Security Summary

The code changes address multiple security vulnerabilities across different files, including dependency management, security fixes in the application, and a concerning ransomware implementation that should never be deployed in a production environment.

Expand for full summary

Summary:

The provided code changes cover a range of security-related modifications across multiple files in the "insecure-app" and "insecure-api" projects. The key highlights are:

1. Dependency Management: The changes in the requirements.txt files introduce a new security dependency, which should be carefully reviewed to understand its purpose and potential security implications. Proper dependency management is crucial for maintaining the overall security posture of the application.

2. Security Vulnerability Fixes: The changes in the app.py file address several critical security vulnerabilities, including Command Injection, Server-Side Request Forgery (SSRF), XML External Entity (XXE) Injection, and Sensitive Data Leakage. These changes demonstrate a proactive approach to securing the application.

3. Ransomware Implementation: The changes in the ransomware.py file introduce a highly concerning ransomware implementation that encrypts the victim's files and demands a ransom payment. This type of malicious code should be reported to the appropriate authorities and never deployed in a production environment.

Files Changed:

1. insecure-app/requirements.txt:

   • Adds a new security==1.3.1 dependency, which should be reviewed for its purpose and security implications.
   • Uncomments the cryptography dependency, setting it to version 3.3.2, which is a good practice for ensuring the use of a known-secure version of the library.

2. insecure-app/app.py:

   • Removes the direct use of the requests library, which could lead to Server-Side Request Forgery (SSRF) vulnerabilities, and introduces a safe_requests module instead.
   • Replaces the direct use of subprocess.Popen with a safe_command.run function, likely to prevent command injection vulnerabilities.
   • Disables entity resolution in the XML parser to mitigate XML External Entity (XXE) injection vulnerabilities.
   • Removes hardcoded AWS credentials, which is a positive security improvement to prevent sensitive data leakage.

3. insecure-api/requirements.txt:

   • Adds a new security==1.3.1 dependency, which should be reviewed for its purpose and security implications.

4. insecure-app/ransomware.py:

   • Implements a ransomware attack that encrypts the victim's files and demands a ransom payment, which is highly concerning and should be reported to the appropriate authorities.

Code Analysis

We ran 9 analyzers against 4 files and 1 analyzer had findings. 8 analyzers had no findings.

Analyzer	Findings
Sensitive Files Analyzer	2 findings

View PR in the DryRun Dashboard.

[arnica-github-connector]

Reputation Risk: [email protected] has a low reputation score

The package has a low reputation score, consider finding an alternative.
Score factors:

• Low # of releases: 5
• Low # of dependents: 2
• Low # of recent downloads: 3,428
• Low # of stars: 14

Severity: Medium ⚠️
Status: Open 🔴

Resources:

1. How to Find Alternative Packages to Low-Reputation Open Source Packages?
2. Identifying Low Reputation Packages: Key Factors and Their Importance
3. What is OpenSSF Scorecard?

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[jit-ci]

❌ Jit has detected 2 important findings in this PR that you should review.
The findings are detailed below as separate comments.
It’s highly recommended that you fix these security issues before merge.

[jit-ci]

Security control: Static Code Analysis Python Semgrep

Potential Xxe Vulnerability With Native Python Xml Libraries

Found use of the native Python XML libraries, which is vulnerable to XML external entity (XXE)
attacks. The Python documentation recommends the 'defusedxml' library instead. Use 'defusedxml'.
See https://github.com/tiran/defusedxml for more information.

Severity: HIGH

Learn more about this issue

---

Jit Bot commands and options (e.g., ignore issue)

You can trigger Jit actions by commenting on this PR review:

• #jit_ignore_fp Ignore and mark this specific single instance of finding as “False Positive”
• #jit_ignore_accept Ignore and mark this specific single instance of finding as “Accept Risk”
• #jit_ignore_type_in_file Ignore any finding of type "Potential XXE vulnerability with native Python XML libraries" in insecure-app/app.py; future occurrences will also be ignored.
• #jit_undo_ignore Undo ignore command

[jit-ci]

Security control: Static Code Analysis Python Semgrep

Potential Xxe Vulnerability With Native Python Xml Libraries

Found use of the native Python XML libraries, which is vulnerable to XML external entity (XXE)
attacks. The Python documentation recommends the 'defusedxml' library instead. Use 'defusedxml'.
See https://github.com/tiran/defusedxml for more information.

Severity: HIGH

Learn more about this issue

---

Jit Bot commands and options (e.g., ignore issue)

You can trigger Jit actions by commenting on this PR review:

• #jit_ignore_fp Ignore and mark this specific single instance of finding as “False Positive”
• #jit_ignore_accept Ignore and mark this specific single instance of finding as “Accept Risk”
• #jit_ignore_type_in_file Ignore any finding of type "Potential XXE vulnerability with native Python XML libraries" in insecure-app/app.py; future occurrences will also be ignored.
• #jit_undo_ignore Undo ignore command