| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.4 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in IBM Rational Quality Manager and Rational Collaborative Lifecycle Management up to 3.0.1.6 iFix7/4.0.7 iFix10/5.0.2 iFix16/6.0.1 iFix2. Affected by this vulnerability is an unknown functionality. Performing a manipulation results in command injection. This vulnerability is reported as CVE-2016-0326. The attack is possible to be carried out remotely. No exploit exists. To fix this issue, it is recommended to deploy a patch.
Details
A vulnerability, which was classified as critical, was found in IBM Rational Quality Manager and Rational Collaborative Lifecycle Management up to 3.0.1.6 iFix7/4.0.7 iFix10/5.0.2 iFix16/6.0.1 iFix2 (Testing Software). This affects an unknown code. The manipulation with an unknown input leads to a command injection vulnerability. CWE is classifying the issue as CWE-77. The product constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended command when it is sent to a downstream component. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
IBM Rational Quality Manager (RQM) and Rational Collaborative Lifecycle Management 3.0.1.6 before iFix8, 4.x before 4.0.7 iFix11, 5.x before 5.0.2 iFix17, and 6.x before 6.0.1 ifix3 allow remote authenticated users to execute arbitrary OS commands via a crafted "HTML request."
The weakness was disclosed 10/22/2016 (Website). It is possible to read the advisory at www-01.ibm.com. This vulnerability is uniquely identified as CVE-2016-0326 since 12/08/2015. The exploitability is told to be easy. It is possible to initiate the attack remotely. A authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1202 according to MITRE ATT&CK.
Applying a patch is able to eliminate this problem.
The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 93824†). 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: 8.8VulDB Meta Temp Score: 8.6
VulDB Base Score: 8.8
VulDB Temp Score: 8.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.8
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: Command injectionCWE: CWE-77 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
Timeline
12/08/2015 🔍09/09/2016 🔍
10/21/2016 🔍
10/22/2016 🔍
10/22/2016 🔍
05/15/2019 🔍
Sources
Vendor: ibm.comAdvisory: www-01.ibm.com
Status: Not defined
Confirmation: 🔍
CVE: CVE-2016-0326 (🔍)
GCVE (CVE): GCVE-0-2016-0326
GCVE (VulDB): GCVE-100-93027
SecurityFocus: 93824 - IBM Rational Quality Manager CVE-2016-0326 Remote Command Injection Vulnerability
Entry
Created: 10/22/2016 11:15Updated: 05/15/2019 16:36
Changes: 10/22/2016 11:15 (50), 05/15/2019 16:36 (13)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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