What is the CVSS score of CVE-2025-8587?

CVE-2025-8587 has a CVSS 3.1 base score of 8.6 (High). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H. EPSS exploitation probability: 0.0%.

Which versions of Skspro are affected by CVE-2025-8587?

SKSPro instances are vulnerable to SQL injection attacks that could allow unauthorized database access and data theft.

How to fix or mitigate CVE-2025-8587?

Within 24 hours: Inventory all SKSPro deployments and isolate affected systems from production networks where possible. Within 7 days: Implement WAF rules to block SQL injection patterns, enable database activity monitoring, and restrict database user privileges to least-privilege principles. Within 30 days: Evaluate alternative solutions, establish vendor communication for patch timeline, and conduct comprehensive database access audit for signs of compromise.

Skspro CVE-2025-8587

HIGH

SQL Injection (CWE-89)

2026-02-02 iletisim@usom.gov.tr

SQLi Skspro

8.6

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

8.6 HIGH

AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

Low

Integrity

Low

Availability

High

Lifecycle Timeline

Analysis Generated

Mar 12, 2026 - 22:01 vuln.today

CVE Published

Feb 02, 2026 - 13:15 nvd

HIGH 8.6

DescriptionCVE.org

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in AKCE Software Technology R&D Industry and Trade Inc. SKSPro allows SQL Injection.This issue affects SKSPro: through 07012026.

AnalysisAI

Technical ContextAI

Classified as CWE-89 (SQL Injection). Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in AKCE Software Technology R&D Industry and Trade Inc. SKSPro allows SQL Injection.This issue affects SKSPro: through 07012026.

RemediationAI

Monitor vendor advisories for a patch. Use parameterized queries. Implement input validation. Restrict network access to the affected service where possible.