Buffer Overflow and Boundary Condition Errors - SSCP Exam Question | Provider: ISC

Buffer Overflow and Boundary Condition Errors

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Question

Buffer overflow and boundary condition errors are subsets of which of the following?

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A. B. C. D.

D.

In an input validation error, the input received by a system is not properly checked, resulting in a vulnerability that can be exploited by sending a certain input sequence.

There are two important types of input validation errors: buffer overflows (input received is longer than expected input length) and boundary condition error (where an input received causes the system to exceed an assumed boundary)

A race condition occurs when there is a delay between the time when a system checks to see if an operation is allowed by the security model and the time when the system actually performs the operation.

In an access validation error, the system is vulnerable because the access control mechanism is faulty.

In an exceptional condition handling error, the system somehow becomes vulnerable due to an exceptional condition that has arisen.

Source: DUPUIS, Clement, Access Control Systems and Methodology CISSP Open Study Guide, version 1.0, march 2002 (page 105).

Buffer overflow and boundary condition errors are both subsets of Input validation errors.

Input validation errors occur when the data entered into a program or system is not validated or checked properly. This can result in a wide range of issues, including security vulnerabilities, data corruption, and system crashes.

Buffer overflow errors occur when a program tries to write data beyond the allocated space in a buffer. This can lead to the overwriting of critical system data, memory corruption, and the execution of malicious code.

Boundary condition errors occur when input is not validated against specific limits or boundaries set by the system. This can lead to unexpected behavior, such as crashes or security vulnerabilities.

Both buffer overflow and boundary condition errors are examples of input validation errors because they involve a failure to properly validate or check input data. These types of errors can be prevented through proper input validation techniques, such as input filtering, data type checking, and size validation.