IBM Algorithmics information disclosure

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
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CTI Interest Score
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3.9$0-$5k0.00

Summaryinfo

A vulnerability was found in IBM Algorithmics and classified as problematic. Impacted is an unknown function. The manipulation results in information disclosure. This vulnerability is cataloged as CVE-2014-0894. Furthermore, there is an exploit available.

Detailsinfo

A vulnerability, which was classified as problematic, was found in IBM Algorithmics (the affected version is unknown). Affected is an unknown code. The manipulation with an unknown input leads to a information disclosure vulnerability. CWE is classifying the issue as CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. This is going to have an impact on confidentiality. CVE summarizes:

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.

The weakness was shared 07/07/2014 (Website). The advisory is shared for download at sec-consult.com. This vulnerability is traded as CVE-2014-0894 since 01/06/2014. It is possible to launch the attack remotely. A authentication is needed for exploitation. Technical details are unknown but a public exploit is available. The MITRE ATT&CK project declares the attack technique as T1592.

The exploit is shared for download at exploit-db.com. It is declared as proof-of-concept.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the databases at X-Force (91313), Exploit-DB (33942) and Secunia (SA59296†). The entries VDB-70282, VDB-70281, VDB-70280 and VDB-70279 are related to this item. Once again VulDB remains the best source for vulnerability data.

Productinfo

Vendor

Name

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.3
VulDB Meta Temp Score: 4.1

VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Exploit-DB: 🔍

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

01/06/2014 🔍
07/07/2014 +182 days 🔍
07/07/2014 +0 days 🔍
07/11/2014 +4 days 🔍
03/26/2015 +258 days 🔍
09/22/2024 +3468 days 🔍

Sourcesinfo

Vendor: ibm.com

Advisory: 127304
Status: Not defined
Confirmation: 🔍

CVE: CVE-2014-0894 (🔍)
GCVE (CVE): GCVE-0-2014-0894
GCVE (VulDB): GCVE-100-70284
X-Force: 91313
Secunia: 59296 - IBM Algo Credit Manager Multiple Vulnerabilities, Less Critical

scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍

Entryinfo

Created: 03/26/2015 12:07
Updated: 09/22/2024 16:53
Changes: 03/26/2015 12:07 (51), 03/17/2019 09:28 (5), 03/24/2022 14:04 (3), 09/22/2024 16:53 (16)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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