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CVE-2025-3277: CWE-122 Heap-based Buffer Overflow in SQLite sqlite

Medium
VulnerabilityCVE-2025-3277cvecve-2025-3277cwe-122
Published: Mon Apr 14 2025 (04/14/2025, 16:50:48 UTC)
Source: CVE Database V5
Vendor/Project: SQLite
Product: sqlite

Description

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.

AI-Powered Analysis

AILast updated: 07/06/2025, 04:26:48 UTC

Technical Analysis

CVE-2025-3277 is a heap-based buffer overflow vulnerability identified in SQLite versions prior to 3.49.1, specifically within the `concat_ws()` function. The vulnerability arises due to an integer overflow during the calculation of the buffer size needed to store the concatenated string. SQLite attempts to allocate memory based on a truncated integer value resulting from this overflow. However, when writing the concatenated string to the allocated buffer, SQLite uses the original, untruncated size, leading to a buffer overflow of approximately 4GB on the heap. This mismatch between allocated buffer size and actual write size allows an attacker to overwrite adjacent memory, potentially enabling arbitrary code execution without requiring any authentication or user interaction. The CVSS 4.0 base score is 6.9, indicating a medium severity level. The attack vector is network-based (AV:N), with low attack complexity (AC:L), and no privileges or user interaction required (PR:N/UI:N). The vulnerability impacts confidentiality, integrity, and availability to a limited extent (VC:L/VI:L/VA:L), and the scope is limited (S:L). No known exploits are currently reported in the wild, and no patches are linked yet, though the vulnerability is publicly disclosed as of April 14, 2025. Given SQLite's widespread use as an embedded database engine in numerous applications and devices, this vulnerability poses a significant risk if exploited, especially in environments where untrusted input can reach the vulnerable function.

Potential Impact

For European organizations, the impact of CVE-2025-3277 could be substantial due to SQLite's pervasive presence in software stacks ranging from web applications, mobile apps, embedded systems, to IoT devices. Exploitation could lead to arbitrary code execution, enabling attackers to compromise systems, exfiltrate sensitive data, or disrupt services. This is particularly critical for sectors such as finance, healthcare, and critical infrastructure where data integrity and availability are paramount. The medium severity rating suggests that while exploitation is feasible without authentication, the scope is limited to applications using vulnerable SQLite versions and specifically invoking the `concat_ws()` function with crafted inputs. However, given the potential for remote exploitation and the large buffer overflow size, successful attacks could result in full system compromise. European organizations relying on third-party software embedding SQLite may face challenges in timely patching, increasing exposure. Additionally, regulatory frameworks like GDPR impose strict data protection requirements, and exploitation leading to data breaches could result in significant legal and financial consequences.

Mitigation Recommendations

European organizations should prioritize identifying all software and devices using SQLite versions earlier than 3.49.1. Since no official patches are linked yet, organizations should monitor vendor advisories for updates or patches addressing CVE-2025-3277. In the interim, mitigating controls include: 1) Implementing strict input validation and sanitization to prevent malicious inputs from reaching the `concat_ws()` function; 2) Employing application-layer firewalls or intrusion prevention systems to detect and block suspicious payloads targeting SQLite; 3) Restricting network access to services using vulnerable SQLite instances to trusted sources only; 4) Conducting thorough code audits and penetration testing focusing on database interaction points; 5) Planning for rapid deployment of patches once available; 6) Utilizing runtime protections such as heap overflow detection and memory safety tools where possible; 7) Isolating critical systems to limit lateral movement in case of compromise. Organizations should also engage with software vendors to ensure timely updates and consider alternative database solutions if patching is delayed.

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Technical Details

Data Version
5.1
Assigner Short Name
Google
Date Reserved
2025-04-04T14:24:39.857Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 6835d30c182aa0cae216c480

Added to database: 5/27/2025, 2:58:20 PM

Last enriched: 7/6/2025, 4:26:48 AM

Last updated: 8/12/2025, 8:12:39 AM

Views: 20

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