MISP 2.4.87 ServersController.php path os command injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.5 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in MISP 2.4.87 and classified as critical. Affected by this vulnerability is an unknown functionality of the file app/Controller/ServersController.php. This manipulation of the argument path as part of Variable causes os command injection. The identification of this vulnerability is CVE-2018-6926. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability has been found in MISP 2.4.87 and classified as critical. Affected by this vulnerability is an unknown part of the file app/Controller/ServersController.php. The manipulation of the argument path as part of a Variable 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:
In app/Controller/ServersController.php in MISP 2.4.87, a server setting permitted the override of a path variable on certain Red Hed Enterprise Linux and CentOS systems (where rh_shell_fix was enabled), and consequently allowed site admins to inject arbitrary OS commands. The impact is limited by the setting being only accessible to the site administrator.
The bug was discovered 02/12/2018. The weakness was shared 02/12/2018 (GitHub Repository). It is possible to read the advisory at github.com. This vulnerability is known as CVE-2018-6926 since 02/12/2018. The attack can be launched remotely. A single authentication is necessary for exploitation. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1202 according to MITRE ATT&CK.
By approaching the search of inurl:app/Controller/ServersController.php it is possible to find vulnerable targets with Google Hacking.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Version
License
Website
- Product: https://github.com/MISP/MISP/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.7VulDB Meta Temp Score: 6.5
VulDB Base Score: 6.3
VulDB Temp Score: 5.8
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.2
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Os command injectionCWE: CWE-78 / CWE-77 / CWE-74
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
Google Hack: 🔍
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Patch: github.com
Timeline
02/12/2018 🔍02/12/2018 🔍
02/12/2018 🔍
02/12/2018 🔍
02/13/2018 🔍
02/06/2023 🔍
Sources
Product: github.comAdvisory: 0a2aa9d52492d960b9a161160acedbe9caaa4126
Status: Not defined
Confirmation: 🔍
CVE: CVE-2018-6926 (🔍)
GCVE (CVE): GCVE-0-2018-6926
GCVE (VulDB): GCVE-100-113179
Entry
Created: 02/13/2018 09:24Updated: 02/06/2023 14:01
Changes: 02/13/2018 09:24 (56), 01/04/2020 10:38 (2), 02/06/2023 14:01 (5)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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