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id, title, category, status, verification_status, canonical_id, aliases, duplicate_of, source_trust_level, confidence_score, created_at, updated_at, review_reason, merge_history, tags, raw_sources, applied_in, github_commit
id title category status verification_status canonical_id aliases duplicate_of source_trust_level confidence_score created_at updated_at review_reason merge_history tags raw_sources applied_in github_commit
sql-injection SQL Injection Database draft conceptual
SQL 인젝션
B 0.87 2026-07-04 2026-07-04
sql
database
w3schools
security
injection
https://www.w3schools.com/sql/sql_injection.asp

SQL Injection

🎯 한 줄 통찰 (One-line insight)

SQL injection exploits raw string concatenation of user input into a query — a tautology like OR 1=1 or a batched ; DROP TABLE ... can turn a single-row lookup into a full-table dump or destructive command. [S1]

🧠 핵심 개념 (Core concepts)

  • SQL injection — a code injection technique where attackers insert malicious SQL into user-input fields to read, modify, or delete sensitive data. [S1]
  • Root cause — building SQL strings by concatenating raw user input, e.g. txtSQL = "SELECT * FROM Users WHERE UserId = " + txtUserId;. [S1]
  • Tautology injection (1=1) — input like 105 OR 1=1 makes the WHERE clause always true, returning every row. [S1]
  • Tautology injection (""="") — the same idea applied to string-quoted login fields (" OR ""="), bypassing username/password checks entirely. [S1]
  • Batched statement injection — a semicolon lets an attacker append an entirely separate destructive statement, e.g. UserId = 105; DROP TABLE Suppliers;. [S1]

🧩 추출된 패턴 (Extracted patterns)

  • Never trust concatenated input — every example in the source traces back to the same root cause: building a SQL string by directly concatenating unescaped, unvalidated user input. [S1]
  • The fix lives in the next two chapters — the source explicitly defers the mitigation (SQL Parameters, SQL Prepared Statements) rather than covering it here. [S1]

📖 세부 내용 (Details)

  • Vulnerable pattern: txtUserId = getRequestString("UserId"); txtSQL = "SELECT * FROM Users WHERE UserId = " + txtUserId;. [S1]
  • Tautology exploit: input 105 OR 1=1 yields SELECT * FROM Users WHERE UserId = 105 OR 1=1;, returning ALL rows. [S1]
  • Login bypass exploit: input " OR ""=" on both fields yields SELECT * FROM Users WHERE Name ="" or ""="" AND Pass ="" or ""="", which is always true. [S1]
  • Batched destructive exploit: SELECT * FROM Users WHERE UserId = 105; DROP TABLE Suppliers;. [S1]

⚖️ 모순 및 업데이트 (Contradictions & updates)

소스에서 모순되는 정보는 발견되지 않음.

🛠️ 적용 사례 (Applied in summary)

현재 발견된 실제 적용 사례가 없습니다 — 다음 두 챕터(SQL Parameters, SQL Prepared Statements)가 이 문제의 실제 해결책을 제시한다. [S1]

💻 코드 패턴 (Code patterns)

Vulnerable string-concatenation pattern (illustrative, NOT recommended):

txtUserId = getRequestString("UserId");
txtSQL = "SELECT * FROM Users WHERE UserId = " + txtUserId;

검증 상태 및 신뢰도

  • 상태: draft
  • 검증 단계: conceptual
  • 출처 신뢰도: B (W3Schools — widely used educational reference, not a primary standards body)
  • 신뢰 점수: 0.87
  • 중복 검사 결과: 신규 생성 (New discovery)

🔗 지식 그래프 (Knowledge Graph)

📚 출처 (Sources)

📝 변경 이력 (Change history)

  • 2026-07-04: Initial draft synthesized from the W3Schools "SQL Injection" page (Astra wiki-curation, P-Reinforce v3.1 format).