CVE-2024-46488 in sqlite-vec
Summary
by MITRE • 09/25/2024
sqlite-vec v0.1.1 was discovered to contain a heap buffer overflow via the npy_token_next function. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted file.
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Analysis
by VulDB Data Team • 10/03/2024
The sqlite-vec library version 0.1.1 contains a critical heap buffer overflow vulnerability within the npy_token_next function that presents significant security risks for systems utilizing this vector database extension. This vulnerability arises from improper bounds checking during the processing of numpy array tokenization operations, where the function fails to validate input boundaries before accessing heap memory regions. The flaw specifically manifests when the library encounters crafted input files that trigger unexpected memory access patterns during token parsing, potentially leading to memory corruption and system instability.
The technical implementation of this vulnerability stems from a classic buffer overflow condition where the npy_token_next function does not adequately validate the size of incoming data structures before performing memory operations. When processing malformed numpy array data, the function attempts to read beyond allocated heap buffer boundaries, creating opportunities for memory corruption that can be exploited by malicious actors. This type of vulnerability falls under the CWE-121 heap-based buffer overflow category, which represents a fundamental memory safety issue where data is written beyond the bounds of allocated memory regions. The vulnerability is particularly concerning because it operates within the vector database processing pipeline of sqlite-vec, which is designed for efficient similarity search and machine learning workloads.
From an operational perspective, this heap buffer overflow vulnerability enables attackers to execute successful denial of service attacks against systems running vulnerable versions of sqlite-vec. The crafted input files can be designed to trigger the overflow condition during normal database operations, causing applications to crash or become unresponsive. The impact extends beyond simple service disruption as the memory corruption can potentially lead to more severe consequences including arbitrary code execution in certain scenarios. The vulnerability affects any system that utilizes sqlite-vec for vector database operations, particularly those handling untrusted data inputs or external file processing. This aligns with ATT&CK technique T1499.004 for denial of service attacks and represents a significant threat to database availability and system integrity in environments where vector search capabilities are critical.
Mitigation strategies for this vulnerability should prioritize immediate version updates to sqlite-vec v0.1.2 or later, which contains the necessary patches to address the buffer overflow condition. Organizations should implement comprehensive input validation measures to sanitize all data processed by the affected library, particularly when handling external or untrusted files. System administrators should consider deploying intrusion detection systems that can identify suspicious file processing patterns associated with this vulnerability. Additionally, regular security audits of vector database implementations and proper memory safety testing should be integrated into development workflows to prevent similar issues from emerging in future releases. The vulnerability demonstrates the importance of thorough memory safety validation in database extension libraries and highlights the need for robust input sanitization practices in vector search implementations.