Pensar - auto fix for Hardcoded Neo4j Database Credentials in Jupyter Notebook

[pensarapp]

Security Issue Fixed:
CWE-798 (Use of Hard-coded Credentials): The original notebook exposed sensitive Neo4j database credentials (username and password) as plain text values directly in the code, setting them as string literals and storing them in environment variables. This risked credential leakage through source files, version control, and notebook sharing.

Fix Applied:

• Removed all hard-coded assignments for GRAPH_DATABASE_USERNAME and GRAPH_DATABASE_PASSWORD.
• Added secure environment variable setup code:
  • Default values for GRAPH_DATABASE_PROVIDER and GRAPH_DATABASE_URL are set only if not already in the environment.
  • For GRAPH_DATABASE_USERNAME, if not set, the user is prompted at runtime to enter the username.
  • For GRAPH_DATABASE_PASSWORD, if not set, the user is securely prompted (using getpass.getpass()) to enter it, ensuring the secret is not echoed/visible on screen or in saved notebook source.
  • Existing code that depends on these values being present in os.environ will still work, but credentials never reside in the source file.
• Added import getpass and explicitly included import warnings to the start of this setup cell to support the credential prompt and warnings suppression.

Result:
Credentials are now only supplied at runtime (via environment or prompt) and are never written to source control, addressing the credential exposure risk.

More Details

Type	Identifier	Message	Severity	Link
Application	CWE-798	Hard-coding the Neo4j username and password directly in the notebook exposes live credentials whenever the file is shared, checked into version control, or inspected through notebook history. An attacker who gains read-only access to this source can immediately connect to the database and compromise its contents. Secrets should be supplied through a secure secret-management system or injected at runtime, never committed to source.	critical	Link

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