nextRound
TechnologiesCoding ProblemsBookmarksLearning PathsLogin
nextRound
TechnologiesCoding ProblemsBookmarksLearning PathsLogin
nextRound

AI-powered interview preparation platform. Practice with curated questions, mock interviews, and personalized learning paths to crack your dream tech interview.

Quick Links

  • Technologies
  • Mock Interviews
  • Saved Questions
  • Pricing

Company

  • About Us
  • Contact Us

Legal

  • Privacy Policy
  • Terms of Use

© 2026 nextRound. All rights reserved.

Questions
4 of 5
1How should sensitive credentials (API keys, passwords) be managed in a Python application rather than hardcoded?
2How can deserializing data with pickle from an untrusted source lead to remote code execution?
3Why is using eval() or exec() on untrusted input a serious security risk?
4What is SQL injection, and how do parameterized queries in Python's database libraries prevent it?
5What risks does using subprocess with shell=True and untrusted input introduce?
PythonPython
Basics
Control Flow and Functions
Data Structures
Comprehensions & Functional Programming
Iterators, Generators & Decorators
Object-Oriented Programming
Exception Handling & Debugging
Concurrency & Parallelism
Performance & Optimization
Testing
Security
Modules, Packaging & Environment
Type Hinting & Modern Python
System Design & Architecture with Python
Best Practices & Design Patterns
Edge Cases & Tricky Interview Questions
04 / 05

What is SQL injection, and how do parameterized queries in Python's database libraries prevent it?

Difficulty: 6/10
SQL Injection, Parameterized Queries, Database Security

Parameterized queries keep SQL code and data separate, preventing injection

SQL injection happens when user input is concatenated into a SQL string, so the database cannot tell where the query ends and the data begins. An attacker can then change the structure of the query, bypass authentication, read or modify data, or execute administrative commands. Parameterized queries fix this by sending the SQL with placeholders and the values separately. The database driver parses the statement once with the placeholders, then binds the values as data, so metacharacters in the input cannot change the query structure. In Python, every major driver supports this: sqlite3 uses ? placeholders, psycopg uses %s, and most ORMs support it under the hood. The rule is to never build SQL with string formatting, f-strings, or concatenation for values. Table names, column names, and other identifiers cannot be parameterized, so they must be validated against an allowlist.

  1. 1

    Use placeholders and pass parameters as a tuple or dict. The driver handles quoting and escaping.

  2. 2

    Never use % formatting, f-strings, or .format() to build SQL with user input.

  3. 3

    Identifiers (table names, column names) cannot be parameterized. Validate them against an allowlist of known names.

  4. 4

    ORMs are not automatically safe: raw SQL and string-built fragments still introduce risk.

  5. 5

    Stored procedures can also be vulnerable if they build dynamic SQL internally.

  6. 6

    Common mistake: using parameterized queries for values but concatenating the table name from user input. That is still injectable.

  7. 7

    Common mistake: assuming that escaping single quotes is enough. Attackers use encodings, comments, and stacked queries.

  8. 8

    Version note: the DB-API parameter style differs per driver (qmark for sqlite3, format for psycopg). Check the driver documentation.

Scenario Questions

0-2 years experience

  1. 1You see a query built with f-string interpolation of user input. What is the risk?
  2. 2How do you write a parameterized query in sqlite3?

2-5 years experience

  1. 1A search endpoint lets users sort by a column. How do you prevent injection there?
  2. 2A legacy module uses string concatenation for queries. How do you refactor it safely without breaking behavior?

5-8 years experience

  1. 1You need to build dynamic queries with optional filters. How do you keep them parameterized and safe?
  2. 2You are using an ORM but need a raw SQL report. How do you ensure it is not injectable?

8+ years experience

  1. 1Design a data access layer that enforces parameterized queries by construction and rejects string-built SQL at code review or CI.
  2. 2Explain how to test for SQL injection in a Python codebase, including fuzzing, static analysis, and runtime detection.

Follow-up Questions

  • How would you safely build a query that filters by a user-selected column name?
  • Why are ORMs not a complete defense against SQL injection?
Sharethis question

Share via WhatsApp, X, Facebook, LinkedIn or copy link. Open Graph preview enabled.