getsentry / getsentry/sentry-java
Sanitize SQL queries
- 主要语言
- Kotlin
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- 平均合并
- 2 天 23 小时
- 30 天内合并 PR
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描述
### Problem Statement
Our JDBC and Android SQLite integrations currently use caller-provided SQL directly as the span description. If a customer interpolates values instead of using placeholders, literals and comments can contain PII, credentials, or other sensitive data and are sent to Sentry. The Java SDK has no SQL sanitizer today.
### Solution Brainstorm
Introduce a shared internal SQL analyzer used by sentry-jdbc and sentry-android-sqlite.
Requirements:
- Sanitize every statement, including prepared-statement text.
- Replace literal values with placeholders while preserving SQL structure and existing parameter markers.
- Remove or redact line and block comments.
- Handle database dialect differences conservatively.
- Never fall back to, attach, or log the original query if analysis fails; fail closed to safe structural metadata.
- Use sanitized query text as the transaction-based span description.
- Cover JDBC, SupportSQLiteOpenHelper, and SQLiteDriver instrumentation.
- Add malformed-input, dialect, secret-canary, fuzz/robustness, and performance tests.
OpenTelemetry Java's Apache-2.0 JFlex `SqlSanitizerWithSummary.jflex` is strong prior art and can likely be adapted, but should not be vendored unchanged: OTel preserves comments, may skip sanitization for prepared statements, and preserves unknown fragments. Vendoring requires source attribution and a THIRD_PARTY_NOTICES.md entry.
贡献指南
调研方向
Locate the sentry-jdbc and sentry-android-sqlite instrumentation, including the SupportSQLiteOpenHelper and SQLiteDriver entry points, and review OpenTelemetry Java's SqlSanitizerWithSummary.jflex as prior art. Done means all statements produce safe structural span descriptions without exposing literals or comments, with malformed-input, dialect, secret-canary, fuzz/robustness, and performance coverage.
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评估
- 技术栈
- android, java, kotlin, sql, sqlite
- 领域
- databases, observability, security
- Issue 类型
- 功能
- 难度
- 5/5
- 预计耗时
- 一周以上
- 活跃度
- 活跃
- 描述清晰度
- 基本清楚
- 新手友好度
- 42/100