What is the CVSS score of CVE-2015-5959?

CVE-2015-5959 has a CVSS 3.0 base score of 9.8 (Critical). CVSS vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H. EPSS exploitation probability: 1.5%.

Is there a patch available for CVE-2015-5959?

Yes, a patch is available for CVE-2015-5959. Update the affected software to the latest version immediately.

Froxlor CVE-2015-5959

CRITICAL

Information Exposure (CWE-200)

2017-09-06 cve@mitre.org

Information Disclosure Froxlor

9.8

CVSS 3.0 · NVD

Severity by source

NVD PRIMARY

9.8 CRITICAL

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

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

CVE Published

Sep 06, 2017 - 21:29 cve.org

CRITICAL 9.8

DescriptionCVE.org

Froxlor before 0.9.33.2 with the default configuration/setup might allow remote attackers to obtain the database password by reading /logs/sql-error.log.

AnalysisAI

Froxlor before 0.9.33.2 with the default configuration/setup might allow remote attackers to obtain the database password by reading /logs/sql-error.log. Rated critical severity (CVSS 9.8), this vulnerability is remotely exploitable, no authentication required, low attack complexity. This Exposure of Sensitive Information vulnerability could allow attackers to access sensitive data that should not be disclosed.

Technical ContextAI

This vulnerability is classified as Exposure of Sensitive Information (CWE-200), which allows attackers to access sensitive data that should not be disclosed. Froxlor before 0.9.33.2 with the default configuration/setup might allow remote attackers to obtain the database password by reading /logs/sql-error.log. Affected products include: Froxlor. Version information: before 0.9.33.2.

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Minimize information in error messages, implement proper access controls, encrypt sensitive data at rest and in transit.