VDB-75523 · CVE-2014-4774 · BID 74822

IBM License Metric Tool up to 9.1.0.1 Login Page frame cross-site request forgery

CVSS Meta Temp Score
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CTI Interest Score
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4.1$0-$5k0.00

Summaryinfo

A vulnerability was found in IBM License Metric Tool up to 9.1.0.1. It has been rated as problematic. This affects an unknown function of the component Login Page. This manipulation of the argument frame causes cross-site request forgery. This vulnerability appears as CVE-2014-4774. The attack may be initiated remotely. There is no available exploit. Upgrading the affected component is advised.

Detailsinfo

A vulnerability has been found in IBM License Metric Tool up to 9.1.0.1 and classified as problematic. Affected by this vulnerability is an unknown function of the component Login Page. The manipulation of the argument frame with an unknown input leads to a cross-site request forgery vulnerability. The CWE definition for the vulnerability is CWE-352. The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request. As an impact it is known to affect integrity. The summary by CVE is:

Cross-site request forgery (CSRF) vulnerability in the login page in IBM License Metric Tool 9 before 9.1.0.2 and Endpoint Manager for Software Use Analysis 9 before 9.1.0.2 allows remote attackers to hijack the authentication of arbitrary users via vectors involving a FRAME element.

The weakness was presented 05/25/2015 (Website). It is possible to read the advisory at www-01.ibm.com. This vulnerability is known as CVE-2014-4774 since 07/09/2014. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit.

Upgrading to version 9.1.0.2 eliminates this vulnerability.

The vulnerability is also documented in the databases at SecurityFocus (BID 74822†) and Vulnerability Center (SBV-50551†). See VDB-75524 for similar entry. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Affected

  • IBM Endpoint Manager for Software Use Analysis up to 9.1.0.1
  • IBM License Metric Tool up to 9.1.0.1

Productinfo

Vendor

Name

Version

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: Cross-site request forgery
CWE: CWE-352 / CWE-862 / CWE-863
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: License Metric Tool 9.1.0.2

Timelineinfo

07/09/2014 🔍
04/03/2015 +268 days 🔍
04/03/2015 +0 days 🔍
05/25/2015 +52 days 🔍
05/25/2015 +0 days 🔍
05/26/2015 +1 days 🔍
06/14/2015 +19 days 🔍
06/30/2017 +747 days 🔍

Sourcesinfo

Vendor: ibm.com

Advisory: www-01.ibm.com
Status: Not defined
Confirmation: 🔍

CVE: CVE-2014-4774 (🔍)
GCVE (CVE): GCVE-0-2014-4774
GCVE (VulDB): GCVE-100-75523
SecurityFocus: 74822 - Multiple IBM Products CVE-2014-4774 Cross Site Request Forgery Vulnerability
Vulnerability Center: 50551 - IBM License Metric Tool and Endpoint Manager for Software Use Analysis 9 before 9.1.0.2 CSRF Vulnerability via FRAME Element, Medium

See also: 🔍

Entryinfo

Created: 05/26/2015 10:26
Updated: 06/30/2017 06:00
Changes: 05/26/2015 10:26 (58), 06/30/2017 06:00 (4)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Discussion

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