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Algo Credit Limits CVE-2014-0894

LOW
Information Exposure (CWE-200)
2014-07-07 psirt@us.ibm.com
3.5
CVSS 2.0 · NVD

Severity by source

NVD PRIMARY
3.5 LOW
AV:N/AC:M/Au:S/C:P/I:N/A:N

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

AV:N/AC:M/Au:S/C:P/I:N/A:N
Attack Vector
Network
Attack Complexity
M
Confidentiality
P
Integrity
None
Availability
None

Lifecycle Timeline

1
CVE Published
Jul 07, 2014 - 11:01 cve.org
LOW 3.5

DescriptionCVE.org

RICOS in IBM Algo Credit Limits (aka ACLM) 4.5.0 through 4.7.0 before 4.7.0.03 FP5 in IBM Algorithmics allows context-dependent attackers to discover database credentials by reading the DbUser and DbPass fields in an XML document.

AnalysisAI

RICOS in IBM Algo Credit Limits (aka ACLM) 4.5.0 through 4.7.0 before 4.7.0.03 FP5 in IBM Algorithmics allows context-dependent attackers to discover database credentials by reading the DbUser and. Rated low severity (CVSS 3.5), this vulnerability is remotely exploitable. Public exploit code available and EPSS exploitation probability 11.9%.

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. RICOS in IBM Algo Credit Limits (aka ACLM) 4.5.0 through 4.7.0 before 4.7.0.03 FP5 in IBM Algorithmics allows context-dependent attackers to discover database credentials by reading the DbUser and DbPass fields in an XML document. Affected products include: Ibm Algo Credit Limits, Ibm Algorithmics. Version information: through 4.7.0.

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.

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CVE-2014-0894 vulnerability details – vuln.today

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