GSKit 7 PKCS#1 Padding information disclosure

CVSS Meta Temp Score
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CTI Interest Score
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6.1$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as problematic, was found in GSKit 7. This impacts an unknown function of the component PKCS#1 Padding. The manipulation results in information disclosure. This vulnerability was named CVE-2018-1388. The attack may be performed from remote. There is no available exploit. Applying a patch is advised to resolve this issue.

Detailsinfo

A vulnerability classified as problematic has been found in GSKit 7. Affected is some unknown functionality of the component PKCS#1 Padding. 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:

GSKit V7 may disclose side channel information via discrepencies between valid and invalid PKCS#1 padding. IBM X-Force ID: 138212.

The bug was discovered 02/01/2018. The weakness was presented 02/07/2018 (Website). The advisory is shared for download at ibm.com. This vulnerability is traded as CVE-2018-1388 since 12/13/2017. The exploitability is told to be easy. It is possible to launch the attack remotely. The exploitation doesn't require any form of authentication. There are neither technical details nor an exploit publicly available. The MITRE ATT&CK project declares the attack technique as T1592.

The vulnerability scanner Nessus provides a plugin with the ID 108486 (IBM WebSphere MQ 7.0.0.x ROBOT Vulnerability), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Windows and running in the context l. The commercial vulnerability scanner Qualys is able to test this issue with plugin 370925 (IBM WebSphere MQ information disclosure vulnerability (swg22013022)).

Applying a patch is able to eliminate this problem. A possible mitigation has been published even before and not after the disclosure of the vulnerability.

The vulnerability is also documented in the databases at Tenable (108486) and SecurityFocus (BID 103698†). VulDB is the best source for vulnerability data and more expert information about this specific topic.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.4
VulDB Meta Temp Score: 6.3

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

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: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Nessus ID: 108486
Nessus Name: IBM WebSphere MQ 7.0.0.x ROBOT Vulnerability
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍

Qualys ID: 🔍
Qualys Name: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Patch
Status: 🔍

0-Day Time: 🔍

Timelineinfo

12/13/2017 🔍
02/01/2018 +50 days 🔍
02/01/2018 +0 days 🔍
02/01/2018 +0 days 🔍
02/07/2018 +6 days 🔍
02/07/2018 +0 days 🔍
02/08/2018 +1 days 🔍
03/20/2018 +40 days 🔍
02/02/2021 +1050 days 🔍

Sourcesinfo

Advisory: ibm.com
Researcher: IBM
Status: Not defined
Confirmation: 🔍

CVE: CVE-2018-1388 (🔍)
GCVE (CVE): GCVE-0-2018-1388
GCVE (VulDB): GCVE-100-112968
X-Force: 138212
SecurityFocus: 103698 - IBM Global Security Kit CVE-2018-1388 Information Disclosure Vulnerability

Entryinfo

Created: 02/08/2018 07:04
Updated: 02/02/2021 17:11
Changes: 02/08/2018 07:04 (65), 01/02/2020 16:35 (7), 02/02/2021 17:08 (2), 02/02/2021 17:11 (1)
Complete: 🔍
Cache ID: 216:ECA:103

VulDB is the best source for vulnerability data and more expert information about this specific topic.

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