acccheck 0.2.1 Command Line acccheck.pl Shell Metacharacter command injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.5 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in acccheck 0.2.1. Affected by this vulnerability is an unknown functionality of the file acccheck.pl of the component Command Line. This manipulation as part of Shell Metacharacter causes command injection. This vulnerability is registered as CVE-2018-12268. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability has been found in acccheck 0.2.1 and classified as critical. Affected by this vulnerability is an unknown code of the file acccheck.pl of the component Command Line. The manipulation as part of a Shell Metacharacter leads to a command injection vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
acccheck.pl in acccheck 0.2.1 allows Command Injection via shell metacharacters in a username or password file, as demonstrated by injection into an smbclient command line.
The bug was discovered 06/13/2018. The weakness was published 06/13/2018 (Website). It is possible to read the advisory at b3n7s.github.io. This vulnerability is known as CVE-2018-12268 since 06/13/2018. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. 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.
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
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.5VulDB Meta Temp Score: 8.5
VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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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: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
Timeline
06/13/2018 🔍06/13/2018 🔍
06/13/2018 🔍
06/13/2018 🔍
06/14/2018 🔍
02/19/2020 🔍
Sources
Advisory: b3n7s.github.ioStatus: Not defined
CVE: CVE-2018-12268 (🔍)
GCVE (CVE): GCVE-0-2018-12268
GCVE (VulDB): GCVE-100-119515
Entry
Created: 06/14/2018 10:18Updated: 02/19/2020 09:30
Changes: 06/14/2018 10:18 (56), 02/19/2020 09:30 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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