CompTIA Updated PT0-003 Exam Questions and Answers by minha

The correct answer is C. Prompt injection

Prompt injection occurs when an attacker crafts input that causes an AI system to ignore, bypass, or override its intended instructions, safety rules, or output restrictions. In this scenario, the chatbot accepts harmful or policy-violating variations, including malicious links, encoded data leakage, and abusive content. These are indicators that user-supplied prompts can manipulate the chatbot’s behavior.

A is incorrect because container escape involves breaking out of an isolated container environment to access the host or other containers. The question is about manipulating chatbot responses, not container isolation.

B is incorrect because output fuzzing is a testing technique that varies inputs to observe how outputs change. It may be used to discover the issue, but it is not the vulnerability being described.

D is incorrect because model manipulation generally refers to changing or poisoning the model itself, such as altering training data, weights, or behavior at the model level. The scenario describes malicious user inputs affecting responses, which is prompt injection.

In PenTest+ terms, this falls under Attacks and Exploits, specifically AI/LLM-related attacks, prompt injection, and testing for unsafe chatbot behavior.

When a penetration tester identifies several unused services listening on targeted internal laptops, the most appropriate recommendation to reduce the risk of compromise is system hardening. Here ' s why:

System Hardening:

Purpose: System hardening involves securing systems by reducing their surface of vulnerability. This includes disabling unnecessary services, applying security patches, and configuring systems securely.

Impact: By disabling unused services, the attack surface is minimized, reducing the risk of these services being exploited by attackers.

Comparison with Other Controls:

Multifactor Authentication (A): While useful for securing authentication, it does not address the issue of unused services running on the system.

Patch Management (B): Important for addressing known vulnerabilities but not specifically related to disabling unused services.

Network Segmentation (D): Helps in containing breaches but does not directly address the issue of unnecessary services.

System hardening is the most direct control for reducing the risk posed by unused services, making it the best recommendation.

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kube-hunter is a tool designed to perform security assessments on Kubernetes clusters. It identifies various vulnerabilities, focusing on weaknesses and misconfigurations. Here’s why option B is correct:

Kube-hunter: It scans Kubernetes clusters to identify security issues, such as misconfigurations, insecure settings, and potential attack vectors.

Network Configuration Errors: While kube-hunter might identify some network-related issues, its primary focus is on Kubernetes-specific vulnerabilities and misconfigurations.

Application Deployment Issues: These are more related to the applications running within the cluster, not the cluster configuration itself.

Security Vulnerabilities in Docker Containers: Kube-hunter focuses on the Kubernetes environment rather than Docker container-specific vulnerabilities.

References from Pentest:

Forge HTB: Highlights the use of specialized tools to identify misconfigurations in environments, similar to how kube-hunter operates within Kubernetes clusters​​.

Anubis HTB: Demonstrates the importance of identifying and fixing misconfigurations within complex environments like Kubernetes clusters​​.

Conclusion:

Option B, weaknesses and misconfigurations in the Kubernetes cluster, accurately describes the type of vulnerabilities that kube-hunter is designed to detect.

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theHarvester is purpose-built for reconnaissance that supports social engineering and phishing assessments by collecting email addresses, employee names, and related identity information from public sources (for example, search engines, PGP key servers, and other OSINT repositories). In a PenTest+ workflow, this aligns directly with the objective of identifying specific people who could be targeted in a phishing simulation—especially when the tester needs a list of likely corporate users and roles to validate awareness controls and email security.

By contrast, WHOIS primarily reveals domain registration details (often privacy-protected) and is not optimized for enumerating a broad set of internal users. Censys.io focuses on internet-exposed hosts, certificates, and services, which is valuable for attack surface mapping but not for building a human target list. SpiderFoot is a general OSINT automation platform, but theHarvester most directly matches the stated goal of harvesting names/emails suitable for phishing target identification.