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DryRun Security Summary

The pull request modifies the /games endpoint by adding database functionality but introduces critical security issues, primarily a severe SQL injection vulnerability along with other problems including incorrect table references, poor exception handling, lack of input validation, and potential database connection leaks.

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This PR modifies the /games endpoint in main.py, adding a query parameter and implementing database retrieval with SQLite. CRITICAL SECURITY VULNERABILITIES detected:

  1. SQL Injection Vulnerability (CRITICAL): Unvalidated user input directly inserted into SQL query in main.py, allowing potential full database manipulation. Attacker can craft malicious queries to access or modify database contents.

  2. Database Table Name Mismatch: SQL query references non-existent tiles table instead of video_games, potentially causing runtime errors and potential information disclosure.

  3. Exception Handling Weakness: Raw exception messages returned, risking internal system information leakage.

  4. Input Validation Failure: No sanitization or validation of query parameter before database interaction.

  5. Potential Database Connection Management Risk: Possible connection leaks if exceptions occur before proper connection closure.

Code Analysis

We ran 9 analyzers against 1 file and 0 analyzers had findings. 9 analyzers had no findings.

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conn = sqlite3.connect('videogames.db')
cursor = conn.cursor()
try:
sql_query = f"SELECT * FROM tiles WHERE title = '{query}'"

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⚠️ Codacy found a medium Security issue: Possible SQL injection vector through string-based query construction.

The issue identified by the Bandit linter is a potential SQL injection vulnerability. The current code constructs a SQL query by directly interpolating the query variable into the SQL string. This approach can be exploited by an attacker who can manipulate the query parameter to execute arbitrary SQL commands, leading to unauthorized data access or modification.

To fix this issue, you should use parameterized queries, which safely handle user input by separating SQL code from data. This prevents SQL injection attacks.

Here's the suggested code change:

        sql_query = "SELECT * FROM tiles WHERE title = ?"
        cursor.execute(sql_query, (query,))

This comment was generated by an experimental AI tool.

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❌ Jit has detected 1 important finding in this PR that you should review.
The finding is detailed below as a comment.
It’s highly recommended that you fix this security issue before merge.

cursor = conn.cursor()
try:
sql_query = f"SELECT * FROM tiles WHERE title = '{query}'"
cursor.execute(sql_query)
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Security control: Static Code Analysis Python Semgrep

Sqlalchemy Raw Sql Query Concatenation Risks Sql Injection

Avoiding SQL string concatenation: untrusted input concatenated with raw SQL query can result in SQL Injection. In order to execute raw query safely, prepared statement should be used. SQLAlchemy provides TextualSQL to easily used prepared statement with named parameters. For complex SQL composition, use SQL Expression Language or Schema Definition Language. In most cases, SQLAlchemy ORM will be a better option.

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 "SQLAlchemy raw SQL query concatenation risks SQL Injection" in insecure-api/main.py; future occurrences will also be ignored.
  • #jit_undo_ignore Undo ignore command

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2 participants