IBM MQ Appliance 8.0/9.0 os command injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
7.5$5k-$25k0.00

Summaryinfo

A vulnerability was found in IBM MQ Appliance 8.0/9.0. It has been rated as critical. The affected element is an unknown function. This manipulation causes os command injection. This vulnerability is tracked as CVE-2017-1318. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability has been found in IBM MQ Appliance 8.0/9.0 and classified as critical. Affected by this vulnerability is an unknown function. The manipulation with an unknown input leads to a os command injection vulnerability. The CWE definition for the vulnerability is CWE-78. The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

IBM MQ Appliance 8.0 and 9.0 could allow an authenticated messaging administrator to execute arbitrary commands on the system, caused by command execution. IBM X-Force ID: 125730.

The bug was discovered 07/14/2017. The weakness was disclosed 07/18/2017 (Website). It is possible to read the advisory at ibm.com. This vulnerability is known as CVE-2017-1318 since 11/30/2016. The attack can be launched remotely. The successful exploitation requires a single authentication. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 01/01/2021). It is expected to see the exploit prices for this product increasing in the near future.The attack technique deployed by this issue is T1202 according to MITRE ATT&CK.

The vulnerability was handled as a non-public zero-day exploit for at least 4 days. During that time the estimated underground price was around $5k-$25k.

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 vulnerability database at SecurityFocus (BID 99594†). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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Version

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.6
VulDB Meta Temp Score: 7.6

VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.8
NVD Vector: 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Os command injection
CWE: CWE-78 / CWE-77 / CWE-74
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: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

11/30/2016 🔍
07/14/2017 +226 days 🔍
07/14/2017 +0 days 🔍
07/18/2017 +4 days 🔍
07/18/2017 +0 days 🔍
07/18/2017 +0 days 🔍
01/01/2021 +1263 days 🔍

Sourcesinfo

Vendor: ibm.com

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

CVE: CVE-2017-1318 (🔍)
GCVE (CVE): GCVE-0-2017-1318
GCVE (VulDB): GCVE-100-103747
X-Force: 125730
SecurityFocus: 99594 - IBM MQ Appliance CVE-2017-1318 Remote Command Execution Vulnerability

Entryinfo

Created: 07/18/2017 20:57
Updated: 01/01/2021 19:06
Changes: 07/18/2017 20:57 (58), 10/27/2019 08:23 (4), 01/01/2021 19:02 (2), 01/01/2021 19:06 (1)
Complete: 🔍
Cache ID: 216::103

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

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