apiposture-pro

v1.0.23 suspicious
7.0
High Risk

Professional security analysis tool for Python REST APIs with advanced features

πŸ€– AI Analysis

Final verdict: SUSPICIOUS

The package exhibits significant risks due to potential command injection via subprocess usage and concerns over code obfuscation methods. Additionally, metadata suggests potential author inactivity, casting doubt on the package's legitimacy.

  • High shell risk due to subprocess with shell=True
  • Unclear use of eval(), exec(), and compile()
  • Lack of maintainer information and potential author inactivity
Per-check LLM notes
  • Network: The use of httpx for network requests is common and generally safe, but context is needed to ensure no unexpected data is being sent.
  • Shell: Using subprocess with shell=True poses a risk of command injection, which could be exploited for malicious purposes if input validation is insufficient.
  • Obfuscation: The presence of functions like eval(), exec(), and compile() is concerning as they can be used for code injection, but it's unclear without further context if this is intentional or for legitimate purposes.
  • Credentials: No suspicious patterns related to credential harvesting were detected.
  • Metadata: The package shows signs of potential author inactivity and lacks maintainer information, raising concerns about its legitimacy and support.

πŸ“¦ Package Quality Overall: Medium (5.6/10)

✦ High Test Suite 9.0

Test suite present β€” 7 test file(s) found

  • Test runner config found: pyproject.toml
  • 7 test file(s) detected (e.g. __init__.py)
β—ˆ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.apiposture.com
  • Detailed PyPI description (7440 chars)
β—‹ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
β—ˆ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 98 type-annotated function signatures detected in source
β—‹ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

πŸ”¬ Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • try: with httpx.Client(timeout=10.0) as client: response = client.p
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • "Never use eval(), exec(), or compile() with user input. "
⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • etect subprocess shell=True / os.system (command injection) # Catches dangerous shell calls e
  • "subprocess shell=True or os.system() detected in function body β€” " "user-co
  • try: r = subprocess.run( ["git", "rev-parse", "--short", "HEAD"],
  • """ try: result = subprocess.run( ["git", "rev-parse", "--short", "HEAD"],
  • t repository result = subprocess.run( ["git", "rev-parse", "--git-dir"],
  • t commit SHA result = subprocess.run( ["git", "rev-parse", "HEAD"], cwd=p
βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: apiposture.com>

βœ“ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with apiposture-pro
Create a comprehensive security audit tool for Python REST APIs using the 'apiposture-pro' package. Your task is to develop a command-line utility named 'ApiSecureAudit' which performs automated security assessments on any given API endpoint. This utility will not only identify potential vulnerabilities but also provide actionable insights and recommendations to improve the security posture of the API. Here’s a step-by-step guide on how to build this application:

1. **Setup Project Environment**: Begin by setting up a new Python virtual environment. Ensure you install the 'apiposture-pro' package along with other necessary dependencies like requests for making HTTP calls.

2. **Define Core Features**:
   - **API Endpoint Input**: Allow users to input one or multiple API endpoints to be scanned.
   - **Security Scans**: Implement various types of security scans such as SQL Injection, Cross-Site Scripting (XSS), and Insecure Direct Object References (IDOR).
   - **Report Generation**: Generate detailed reports that include findings from each scan type, severity levels, and remediation steps.

3. **Utilizing 'apiposture-pro'**:
   - Use 'apiposture-pro' to automate the scanning process. Leverage its advanced features to conduct deep dives into API security without manual intervention.
   - Integrate 'apiposture-pro' functionalities to detect and categorize different types of security threats efficiently.

4. **User Interface**: Design a simple yet effective command-line interface (CLI) for ease of use. The CLI should support options for specifying API endpoints, choosing scan types, and output formats (e.g., JSON, CSV).

5. **Testing and Validation**: After developing the basic functionality, thoroughly test your application against known secure and insecure APIs. Validate the accuracy and completeness of the security reports generated.

6. **Documentation**: Write clear documentation explaining how to install and use the 'ApiSecureAudit' tool. Include examples and best practices for conducting API security audits.

7. **Deployment**: Once satisfied with the performance and reliability of your tool, consider deploying it as an open-source project on GitHub. Encourage contributions from the community to enhance its features and usability.

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