Is CVE-2023-31519 actively exploited?

No active exploitation of CVE-2023-31519 has been confirmed so far. Continue monitoring, as exploit status can change.

Can CVE-2023-31519 be exploited remotely?

Yes. CVE-2023-31519 is exploitable remotely over the network (CVSS attack vector: Network).

What is the CVSS score of CVE-2023-31519?

CVE-2023-31519 has a CVSS score of 9.8 (CRITICAL).

HOME VULNERABILITIESCVE-2023-31519

CRITICAL

CVE-2023-31519

CWE-89Published: May 16, 2023· Updated: Jun 17, 2026

9.8

CVSS v3.1

Official Description

Pharmacy Management System v1.0 was discovered to contain a SQL injection vulnerability via the email parameter at login_core.php.

NVD Source

Risk Analysis

Pharmacy Management System v1.0 is susceptible to SQL injection via the email parameter in the login process. This allows remote attackers to manipulate database queries, potentially leading to unauthorized data access.

There is no known public exploit for this vulnerability, and it is not in the CISA KEV. It is remotely exploitable with low attack complexity.

Recommended Action

Apply patches provided by the vendor. Ensure all user inputs are properly sanitized and parameterized in the application code.

Generated by the CTIWATCH analysis pipeline from this CVE's metadata (CVSS, EPSS, KEV status, exploit intelligence). Verify against vendor advisories before acting.

Technical Analysis

CVE-2023-31519 can be exploited remotely over the network without requiring physical or adjacent access, significantly expanding the attack surface for threat actors.

The vulnerability requires no privileges and no user interaction, making it a prime target for automated exploitation campaigns and worm-like propagation.

A successful exploit results in complete confidentiality breach (data exposure), full integrity compromise (data manipulation), availability disruption (denial of service), with a CVSS base score of 9.8.

From a weakness classification perspective (CWE-89): SQL injection vulnerabilities allow attackers to manipulate database queries, potentially exposing or modifying sensitive data.