What is the CVSS score of CVE-2023-50857?

CVE-2023-50857 has a CVSS 3.1 base score of 7.6 (High). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:N/A:L. EPSS exploitation probability: 0.1%.

Funnelkit Automations CVE-2023-50857

HIGH

SQL Injection (CWE-89)

2023-12-28 audit@patchstack.com

WordPress SQLi Funnelkit Automations

7.6

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

7.6 HIGH

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

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

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

Attack Vector

Network

Attack Complexity

Low

Privileges Required

High

User Interaction

None

Scope

Changed

Confidentiality

High

Integrity

None

Availability

Low

Lifecycle Timeline

CVE Published

Dec 28, 2023 - 11:15 cve.org

HIGH 7.6

DescriptionCVE.org

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in FunnelKit Recover WooCommerce Cart Abandonment, Newsletter, Email Marketing, Marketing Automation By FunnelKit.This issue affects Recover WooCommerce Cart Abandonment, Newsletter, Email Marketing, Marketing Automation By FunnelKit: from n/a through 2.6.1.

AnalysisAI

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in FunnelKit Recover WooCommerce Cart Abandonment, Newsletter, Email Marketing, Marketing Automation. Rated high severity (CVSS 7.6), this vulnerability is remotely exploitable, low attack complexity. No vendor patch available.

Technical ContextAI

This vulnerability is classified as SQL Injection (CWE-89), which allows attackers to execute arbitrary SQL commands against the database. Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in FunnelKit Recover WooCommerce Cart Abandonment, Newsletter, Email Marketing, Marketing Automation By FunnelKit.6.1. Affected products include: Funnelkit Funnelkit Automations. Version information: through 2.6.1..

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Use parameterized queries/prepared statements. Never concatenate user input into SQL. Apply least-privilege database permissions.