What is the CVSS score of CVE-2017-1143?

CVE-2017-1143 has a CVSS 3.0 base score of 5.3 (Medium). CVSS vector: CVSS:3.0/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N. EPSS exploitation probability: 0.1%.

Kenexa Lcms Premier CVE-2017-1143

MEDIUM

Information Exposure (CWE-200)

2017-03-27 psirt@us.ibm.com

IBM Information Disclosure Kenexa Lcms Premier

5.3

CVSS 3.0 · NVD

Severity by source

NVD PRIMARY

5.3 MEDIUM

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

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

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

Attack Vector

Network

Attack Complexity

High

Privileges Required

Low

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

None

Availability

None

Lifecycle Timeline

CVE Published

Mar 27, 2017 - 22:59 cve.org

MEDIUM 5.3

DescriptionCVE.org

IBM Kenexa LCMS Premier on Cloud 9.x and 10.0 could allow a remote attacker to obtain sensitive information, caused by the failure to properly enable HTTP Strict Transport Security. An attacker could exploit this vulnerability to obtain sensitive information using man in the middle techniques. IBM Reference #: 1998874.

AnalysisAI

IBM Kenexa LCMS Premier on Cloud 9.x and 10.0 could allow a remote attacker to obtain sensitive information, caused by the failure to properly enable HTTP Strict Transport Security. Rated medium severity (CVSS 5.3), this vulnerability is remotely exploitable. No vendor patch available.

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. IBM Kenexa LCMS Premier on Cloud 9.x and 10.0 could allow a remote attacker to obtain sensitive information, caused by the failure to properly enable HTTP Strict Transport Security. An attacker could exploit this vulnerability to obtain sensitive information using man in the middle techniques. IBM Reference #: 1998874. Affected products include: Ibm Kenexa Lcms Premier.

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.