The PCRE2 library is a set of C functions that implement regular expression pattern matching. In version 10.45, a heap-buffer-overflow read vulnerability exists in the PCRE2 regular expression matching engine, specifically within the handling of the (*scs:...) (Scan SubString) verb when combined with (*ACCEPT) in src/pcre2_match.c. This vulnerability may potentially lead to information disclosure if the out-of-bounds data read during the memcmp affects the final match result in a way observable by the attacker. This issue has been resolved in version 10.46.
This vulnerability carries a CRITICAL severity rating with a CVSS v3.1 score of 9.1, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction and does not require pre-existing privileges . The vulnerability impacts confidentiality (data exposure), and availability (service disruption) for affected systems. Impacting 1 product from pcre organizations running these solutions should prioritize assessment and patching.
Reported in 2025, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.
2025-08-27T19:15:37.560
2025-09-09T15:27:39.573
Analyzed
CVSSv3.1: 9.1 (CRITICAL)
SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For pcre's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.