What is the CVSS score of CVE-2014-2391?

CVE-2014-2391 has a CVSS 2.0 base score of 4.3 (Medium). CVSS vector: AV:N/AC:M/Au:N/C:P/I:N/A:N. EPSS exploitation probability: 0.2%.

Open Xchange Appsuite CVE-2014-2391

MEDIUM

Information Exposure (CWE-200)

2014-04-24 cve@mitre.org

Information Disclosure Open Xchange Appsuite

4.3

CVSS 2.0 · NVD

Severity by source

NVD PRIMARY

4.3 MEDIUM

AV:N/AC:M/Au:N/C:P/I:N/A:N

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

AV:N/AC:M/Au:N/C:P/I:N/A:N

Attack Vector

Network

Attack Complexity

Confidentiality

Integrity

None

Availability

None

Lifecycle Timeline

CVE Published

Apr 24, 2014 - 05:06 cve.org

MEDIUM 4.3

DescriptionCVE.org

The password recovery service in Open-Xchange AppSuite before 7.2.2-rev20, 7.4.1 before 7.4.1-rev11, and 7.4.2 before 7.4.2-rev13 makes an improper decision about the sensitivity of a string representing a previously used but currently invalid password, which allows remote attackers to obtain potentially useful password-pattern information by reading (1) a web-server access log, (2) a web-server Referer log, or (3) browser history that contains this string because of its presence in a GET request.

AnalysisAI

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. The password recovery service in Open-Xchange AppSuite before 7.2.2-rev20, 7.4.1 before 7.4.1-rev11, and 7.4.2 before 7.4.2-rev13 makes an improper decision about the sensitivity of a string representing a previously used but currently invalid password, which allows remote attackers to obtain potentially useful password-pattern information by reading (1) a web-server access log, (2) a web-server Referer log, or (3) browser history that contains this string because of its presence in a GET request. Affected products include: Open-Xchange Open-Xchange Appsuite. Version information: before 7.2.2.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Minimize information in error messages, implement proper access controls, encrypt sensitive data at rest and in transit.