Summary
Samsung Open QA-Board contains an OS command injection vulnerability that may allow attacker-controlled input to influence commands executed by the operating system. Because the issue is rated critical, exploitation could result in arbitrary command execution when a vulnerable input reaches the affected command-processing path.
Samsung Open QA-Board contains an OS command injection vulnerability that may allow attacker-controlled input to influence commands executed by the operating system. Because the issue is rated critical, exploitation could result in arbitrary command execution when a vulnerable input reaches the affected command-processing path.
Affected context
The vulnerability occurs in Samsung Open QA-Board where externally influenced data may be incorporated into operating-system command execution. Risk depends on whether untrusted input can reach the vulnerable command path, whether the relevant functionality is exposed to an attacker, and the privileges of the process executing the command.
The vulnerability occurs in Samsung Open QA-Board where externally influenced data may be incorporated into operating-system command execution. Risk depends on whether untrusted input can reach the vulnerable command path, whether the relevant functionality is exposed to an attacker, and the privileges of the process executing the command.
Exploit preconditions
- Attack surface: A QA-Board feature or service that processes attacker-influenced input.
- Required access: Access sufficient to submit or modify data consumed by the affected command-execution path; the exact level depends on deployment configuration.
- Trigger point: Processing of the input by an operating-system command invocation.
- Why exploitation is possible: Special command elements are not adequately neutralized before input is combined with or passed to a system command.
- Attack surface: A QA-Board feature or service that processes attacker-influenced input.
- Required access: Access sufficient to submit or modify data consumed by the affected command-execution path; the exact level depends on deployment configuration.
- Trigger point: Processing of the input by an operating-system command invocation.
- Why exploitation is possible: Special command elements are not adequately neutralized before input is combined with or passed to a system command.
Why this happens
The underlying bug is improper neutralization of special elements in OS commands, mapped to CWE-78: Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection'). The insecure pattern occurs when application-controlled or externally supplied data is passed to a shell or command interpreter without separating data from executable command structure.
The underlying bug is improper neutralization of special elements in OS commands, mapped to CWE-78: Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection'). The insecure pattern occurs when application-controlled or externally supplied data is passed to a shell or command interpreter without separating data from executable command structure.
Potential impact
- An attacker may execute arbitrary operating-system commands.
- The application process could be compromised.
- Confidential data accessible to the process may be disclosed.
- Files or application configuration could be modified or deleted.
- The vulnerable host could be used for lateral movement or additional compromise.
- An attacker may execute arbitrary operating-system commands.
- The application process could be compromised.
- Confidential data accessible to the process may be disclosed.
- Files or application configuration could be modified or deleted.
- The vulnerable host could be used for lateral movement or additional compromise.
General mitigation guidance
Mitigation generally focuses on eliminating shell interpretation and reducing trust in command-related input.
Common defensive patterns include:
- Prefer direct process-execution APIs that pass executable arguments separately rather than invoking a shell.
- Use fixed command and argument allowlists where dynamic command selection is necessary.
- Apply strict type, format, range, and character validation to externally influenced values.
- Avoid constructing commands through string concatenation or interpolation.
- Run the application with the minimum filesystem, network, and operating-system privileges required.
- Isolate command-executing functionality and apply resource and filesystem restrictions where practical.
Mitigation generally focuses on eliminating shell interpretation and reducing trust in command-related input.
Common defensive patterns include:
- Prefer direct process-execution APIs that pass executable arguments separately rather than invoking a shell.
- Use fixed command and argument allowlists where dynamic command selection is necessary.
- Apply strict type, format, range, and character validation to externally influenced values.
- Avoid constructing commands through string concatenation or interpolation.
- Run the application with the minimum filesystem, network, and operating-system privileges required.
- Isolate command-executing functionality and apply resource and filesystem restrictions where practical.
How teams detect issues like this
Detection approaches commonly include:
- Static analysis rules for shell execution APIs, command interpreters, and string-built commands.
- Code review checks for concatenation or interpolation of request, form, file, or database values into command strings.
- Runtime monitoring for unexpected child processes, command interpreters, or unusual process arguments.
- Policy enforcement that restricts shell invocation and requires approved execution wrappers.
- Security testing with representative boundary and metacharacter cases in controlled environments.
Automated code review and software composition analysis tools may help identify command-execution patterns, but findings should be validated against actual data flow and deployment context.
Detection approaches commonly include:
- Static analysis rules for shell execution APIs, command interpreters, and string-built commands.
- Code review checks for concatenation or interpolation of request, form, file, or database values into command strings.
- Runtime monitoring for unexpected child processes, command interpreters, or unusual process arguments.
- Policy enforcement that restricts shell invocation and requires approved execution wrappers.
- Security testing with representative boundary and metacharacter cases in controlled environments.
Automated code review and software composition analysis tools may help identify command-execution patterns, but findings should be validated against actual data flow and deployment context.
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
