| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.5 | $5k-$25k | 0.00 |
Summary
A vulnerability identified as critical has been detected in IBM WebSphere MQ 7.0/7.1/7.5/8.0/9.0. The impacted element is an unknown function of the component Trace Module. This manipulation causes access control. This vulnerability is tracked as CVE-2017-1612. The attack is restricted to local execution. No exploit exists.
Details
A vulnerability classified as critical was found in IBM WebSphere MQ 7.0/7.1/7.5/8.0/9.0 (Application Server Software). Affected by this vulnerability is some unknown functionality of the component Trace Module. The manipulation with an unknown input leads to a access control vulnerability. The CWE definition for the vulnerability is CWE-264. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
IBM WebSphere MQ 7.0, 7.1, 7.5, 8.0, and 9.0 service trace module could be used to execute untrusted code under 'mqm' user. IBM X-Force ID: 132953.
The bug was discovered 01/04/2018. The weakness was disclosed 01/09/2018 (Website). It is possible to read the advisory at ibm.com. This vulnerability is known as CVE-2017-1612 since 11/30/2016. The exploitation appears to be easy. Attacking locally is a requirement. The exploitation doesn't need any form of 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 01/29/2021). The attack technique deployed by this issue is T1068 according to MITRE ATT&CK.
The vulnerability was handled as a non-public zero-day exploit for at least 5 days. During that time the estimated underground price was around $5k-$25k. The commercial vulnerability scanner Qualys is able to test this issue with plugin 370754 (IBM MQ Privilege Escalation Vulnerability (swg22009918)).
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 102479†). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.ibm.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.5VulDB Meta Temp Score: 6.5
VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.8
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Access controlCWE: CWE-264
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: No
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Qualys ID: 🔍
Qualys Name: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
11/30/2016 🔍01/03/2018 🔍
01/04/2018 🔍
01/09/2018 🔍
01/09/2018 🔍
01/10/2018 🔍
01/29/2021 🔍
Sources
Vendor: ibm.comAdvisory: ibm.com
Researcher: IBM
Status: Not defined
Confirmation: 🔍
CVE: CVE-2017-1612 (🔍)
GCVE (CVE): GCVE-0-2017-1612
GCVE (VulDB): GCVE-100-111547
OVAL: 🔍
X-Force: 132953
SecurityFocus: 102479 - IBM WebSphere MQ CVE-2017-1612 Local Privilege Escalation Vulnerability
SecurityTracker: 1040175
Entry
Created: 01/10/2018 14:13Updated: 01/29/2021 11:11
Changes: 01/10/2018 14:13 (62), 12/20/2019 19:25 (4), 01/29/2021 11:09 (3), 01/29/2021 11:11 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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