SQLite before 3.53.2 contains a heap-based buffer overflow vulnerability in the FTS5 full-text search extension that allows attackers to cause a crash or execute arbitrary code by supplying a crafted database with malicious continuation page metadata specifying a szLeaf value smaller than 4. Attackers can trigger an integer underflow in fts5ChunkIterate() causing an inflated remaining byte count during FTS5 MATCH query processing, leading to a heap buffer overflow of attacker-controlled data in applications compiled with SQLITE_ENABLE_FTS5.
SQLite before 3.53.2 contains memory corruption vulnerabilities in the FTS5 full-text search extension that allow attackers to cause process crashes, memory exhaustion, or arbitrary code execution by supplying a crafted database with malformed FTS5 page data. Attackers can trigger an out-of-bounds read in fts5LeafSeek() via an attacker-controlled loop bound and a heap buffer overflow write in fts5ChunkIterate() through a crafted continuation page causing an integer underflow, exploitable when an FTS5 MATCH query is executed against the malicious database.
An information disclosure issue in the zipfileInflate function in the zipfile extension in SQLite v3.51.1 and earlier allows attackers to obtain heap memory via supplying a crafted ZIP file.
An integer overflow in the sqlite3KeyInfoFromExprList function in SQLite versions 3.39.2 through 3.41.1 allows an attacker with the ability to execute arbitrary SQL statements to cause a denial of service or disclose sensitive information from process memory via a crafted SELECT statement with a large number of expressions in the ORDER BY clause.
There exists a vulnerability in SQLite versions before 3.50.2 where the number of aggregate terms could exceed the number of columns available. This could lead to a memory corruption issue. We recommend upgrading to version 3.50.2 or above.
An integer overflow can be triggered in SQLite’s `concat_ws()` function. The resulting, truncated integer is then used to allocate a buffer. When SQLite then writes the resulting string to the buffer, it uses the original, untruncated size and thus a wild Heap Buffer overflow of size ~4GB can be triggered. This can result in arbitrary code execution.
In SQLite 3.49.0 before 3.49.1, certain argument values to sqlite3_db_config (in the C-language API) can cause a denial of service (application crash). An sz*nBig multiplication is not cast to a 64-bit integer, and consequently some memory allocations may be incorrect.
In SQLite 3.44.0 through 3.49.0 before 3.49.1, the concat_ws() SQL function can cause memory to be written beyond the end of a malloc-allocated buffer. If the separator argument is attacker-controlled and has a large string (e.g., 2MB or more), an integer overflow occurs in calculating the size of the result buffer, and thus malloc may not allocate enough memory.
A heap use-after-free issue has been identified in SQLite in the jsonParseAddNodeArray() function in sqlite3.c. This flaw allows a local attacker to leverage a victim to pass specially crafted malicious input to the application, potentially causing a crash and leading to a denial of service.
A vulnerability was found in SQLite SQLite3 up to 3.43.0 and classified as critical. This issue affects the function sessionReadRecord of the file ext/session/sqlite3session.c of the component make alltest Handler. The manipulation leads to heap-based buffer overflow. It is recommended to apply a patch to fix this issue. The associated identifier of this vulnerability is VDB-248999.
SQLite through 3.40.0, when relying on --safe for execution of an untrusted CLI script, does not properly implement the azProhibitedFunctions protection mechanism, and instead allows UDF functions such as WRITEFILE.
A Memory Leak vulnerability exists in SQLite Project SQLite3 3.35.1 and 3.37.0 via maliciously crafted SQL Queries (made via editing the Database File), it is possible to query a record, and leak subsequent bytes of memory that extend beyond the record, which could let a malicious user obtain sensitive information. NOTE: The developer disputes this as a vulnerability stating that If you give SQLite a corrupted database file and submit a query against the database, it might read parts of the database that you did not intend or expect.