CAP Exam Dumps : Certified AppSec Practitioner Exam

Cross-Origin Resource Sharing (CORS) is a security mechanism that allows servers to specify which origins can access their resources, relaxing the Same-Origin Policy (SOP) for legitimate cross-origin requests. CORS uses specific HTTP headers to control this access. The key header for controlling access to resources isAccess-Control-Allow-Origin, which specifies which origins are permitted to access the resource. However, among the provided options, the closest related header isAccess-Control-Allow-Headers, which is part of the CORS standard and controls which request headers can be used in the actual request (e.g., during a preflight OPTIONS request).

Option A ("Access-Control-Request-Method"): This header is sent by the client in a preflight request to indicate the HTTP method (e.g., GET, POST) that will be used in the actual request. It is not used by the server to control access.

Option B ("Access-Control-Request-Headers"): This header is sent by the client in apreflight request to list the headers it plans to use in the actual request. It is not used by the server to control access.

Option C ("Access-Control-Allow-Headers"): This header is sent by the server in response to a preflight request, specifying which headers are allowed in the actual request. While Access-Control-Allow-Origin is the primary header for controlling access, Access-Control-Allow-Headers is part of the CORS standard to manage header-based access control, making this the best match among the options.

Option D ("None of the above"): Incorrect, as Access-Control-Allow-Headers is a CORS header.

The correct answer is C, aligning with the CAP syllabus under "CORS Security" and "HTTP Headers."References: SecOps Group CAP Documents - "CORS Configuration," "Security Headers," and "OWASP Secure Headers Guide" sections.

The scenario describes an e-commerce website where a user can view order details by manipulating the order_id parameter in the URL (e.g., A security researcher found that changing the order_id allows access to arbitrary orders and sensitive data, indicating an authorization issue. This is not a simple input validation problem (e.g., SQL injection or path traversal), as the input (order_id) is processed, but the system fails to enforce proper access controls. This is a classic case of Insecure Direct Object References (IDOR), where an attacker can access resources by guessing or manipulating identifiers without proper authorization checks. The root cause is a weak authorization mechanism, likely tied to poor session management orprivilege validation, allowing unauthorized users to view others’ data.

Option A ("The root cause of the problem is a lack of input validation..."): Incorrect, as the issue is not about invalid input (e.g., malicious code) but about unauthorized access to valid data. Whitelisting might help sanitize input, but it doesn’t address authorization.

Option B ("The root cause of the problem is a weak authorization (Session Management)..."): Correct, as the problem stems from inadequate authorization checks. Validating user privileges (e.g., ensuring the user can only access their own orders) or improving session management (e.g., tying orders to user sessions) can fix this IDOR vulnerability.

Option C ("The problem can be solved by implementing a Web Application Firewall (WAF)"): Incorrect as a standalone solution, as WAFs mitigate certain attacks (e.g., SQLi, XSS) but are not a substitute for fixing authorization logic. A WAF might detect patterns but won’t enforce proper access control.

Option D ("None of the above"): Incorrect, as Option B accurately identifies the root cause and solution.

The correct answer is B, aligning with the CAP syllabus under "Authorization and Access Control" and "OWASP Top 10 (A04:2021 - Insecure Design)."References: SecOps Group CAP Documents - "Session Management," "Insecure Direct Object References (IDOR)," and "OWASP Top 10" sections.

Let’s evaluate the two statements about NoSQL injection:

Statement A: NoSQL databases (e.g., MongoDB, Cassandra) are designed for scalability and flexibility, often sacrificing strict consistency for performance (e.g., eventual consistency in distributed systems). Unlike traditional SQL databases, they do not enforce rigid relational constraints, which simplifies scaling but does not eliminate the risk of injection attacks. Even without SQL syntax, NoSQL databases are vulnerable to injection if user input is not sanitized (e.g., in MongoDB, injecting $where or $ne operators). This statement is true.

Statement B: NoSQL database queries are typically written in the application’s programming language (e.g., JavaScript for MongoDB), using a custom API (e.g., MongoDB’s query API), or formatted in standards like JSON, XML, or LINQ. For example, a MongoDB query might look like db.collection.find({ "key": input }), where input is a JSON-like structure. This statement accurately describes how NoSQL queries are constructed and is true.

Option A ("A is true, and B is false"): Incorrect, as both statements are true.

Option B ("A is false, and B is true"): Incorrect, as both statements are true.

Option C ("Both A and B are false"): Incorrect, as both statements are true.

Option D ("Both A and B are true"): Correct, as both statements accurately describe NoSQL databases and their vulnerability to injection.

The correct answer is D, aligning with the CAP syllabus under "NoSQL Injection" and "Database Security."References: SecOps Group CAP Documents - "NoSQL Injection Vulnerabilities," "Database Query Security," and "OWASP Top 10 (A03:2021 - Injection)" sections.