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3.8 KiB
3.8 KiB
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 | |||||||
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| sql-injection | SQL Injection | Database | draft | conceptual |
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B | 0.87 | 2026-07-04 | 2026-07-04 |
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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 like105 OR 1=1makes 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=1yieldsSELECT * FROM Users WHERE UserId = 105 OR 1=1;, returning ALL rows. [S1] - Login bypass exploit: input
" OR ""="on both fields yieldsSELECT * 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)
- 상위/루트: SQL Tutorial
- 관련 개념: SQL Parameters, SQL Prepared Statements
- 참조 맥락: 사용자 입력을 다루는 모든 쿼리 작성 전 반드시 인지해야 할 보안 위협 — 해결책은 다음 두 챕터.
📚 출처 (Sources)
- [S1] W3Schools — SQL Injection — https://www.w3schools.com/sql/sql_injection.asp
📝 변경 이력 (Change history)
- 2026-07-04: Initial draft synthesized from the W3Schools "SQL Injection" page (Astra wiki-curation, P-Reinforce v3.1 format).