Security vulnerabilities and automated fixes for sql injection issues
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SQL injection attacks exploit improper input sanitization to inject malicious SQL statements into application queries. Successful exploitation can lead to unauthorized data access, data modification, or complete database compromise. It remains one of the most prevalent web application vulnerabilities.
Related CWEs
Affected Languages
A critical SQL injection vulnerability in `scripts/verify-db.ts` allowed attackers to execute arbitrary SQL commands by manipulating table names passed to the `countTable()` function. The script used `client.unsafe()` with string interpolation, directly embedding unsanitized input into SQL queries. The fix replaced the unsafe pattern with parameterized queries using the postgres client's built-in escaping.
A critical SQL injection vulnerability in `zhparser--2.1.sql` allowed attackers to execute arbitrary SQL commands by crafting malicious database names. The vulnerability existed because the dictionary synchronization function constructed COPY commands using string concatenation without proper escaping. This fix implements parameterized queries to safely handle database identifiers.
A critical SQL injection vulnerability was discovered in `LR2/LR2_statlong.cpp` at line 42, where `sqlite3_snprintf` used the `%s` format specifier instead of `%q` to interpolate a player ID into a SQL query. This single-character difference meant that single quotes in the player ID were inserted verbatim, allowing an attacker to break out of the SQL string literal and inject arbitrary commands. The fix changes `%s` to `%q`, which doubles all single quotes to properly escape them.
A critical buffer overflow vulnerability was discovered in `src/simmonitor/db/hoeldb.c`, where fixed-size heap buffers (150 and 250 bytes) were allocated with `malloc()` and then written to using `sprintf()` without any bounds checking. The fix replaces these unsafe patterns with `asprintf()` for dynamic allocation and `calloc()` for row data buffers, eliminating both the overflow risk and a related uninitialized memory hazard.
A database query in DBeaver's Altibase extension was constructing SQL statements using `String.format()` with user-controlled input, creating a classic SQL injection vulnerability. The fix replaces the unsafe string interpolation with parameterized queries using `PreparedStatement`, ensuring user input is always treated as data rather than executable SQL. This type of vulnerability is deceptively simple to introduce but equally simple to fix once you know what to look for.
A critical SQL injection vulnerability was discovered and patched in the OceanBase database connector used by a RAG (Retrieval-Augmented Generation) platform, where user-controlled filter expressions were directly embedded into SQL WHERE clauses using Python f-strings without any parameterization or validation. This flaw exposed the platform's entire knowledge base to complete compromise, including unauthorized data access, modification, and deletion. The fix replaces unsafe string interpolation