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NEW QUESTION # 60
An organization hires a security consultant to establish a SOC that includes a threat-modeling function.
During initial activities, the consultant works with system engineers to identify antipatterns within the environment. Which of the following is most critical for the engineers to disclose to the consultant during this phase?
Answer: B
Explanation:
In the context of establishing a Security Operations Center (SOC) with a threat-modeling function, it's crucial to understand how data flows within the organization's systems. Network and data flow diagrams provide a visual representation of the system's architecture, illustrating how data moves between components, which is essential for identifying potential security weaknesses and antipatterns. Antipatterns are common responses to recurring problems that are ineffective and risk-inducing. By analyzing these diagrams, the consultant can pinpoint areas where security controls may be lacking or misconfigured, thereby facilitating the development of effective threat models.
While other options like unpatchable IoT devices (Option B) and inventories of cloud resources (Option E) are important for comprehensive security assessments, they are more pertinent during later stages, such as vulnerability management and asset inventory. The initial phase of threat modeling focuses on understanding the system's structure and data flows to identify potential threats, making network and data flow diagrams the most critical information at this stage.
NEW QUESTION # 61
A security engineer is reviewing the following vulnerability scan report:
Which of the following should the engineer prioritize for remediation?
Answer: B
Explanation:
OpenSSH vulnerabilityispublic facingand has acritical CVSS of 9.2.
Exploitable SSH services can lead to direct server compromise.
Although Apache has a higher score, it's internal.
FromCAS-005, Domain 3: Vulnerability Management:
"Prioritize external vulnerabilities with high CVSS and exposed attack surfaces." Reference:CAS-005 Guide, Chapter 7: Vulnerability Prioritization, pg. 140-143
NEW QUESTION # 62
During a forensic review of a cybersecurity incident, a security engineer collected a portion of the payload used by an attacker on a comprised web server Given the following portion of the code:
Which of the following best describes this incident?
Answer: A
Explanation:
The provided code snippet shows a script that captures the user's cookies and sends them to a remote server.
This type of attack is characteristic of Cross-Site Scripting (XSS), specifically stored XSS, where the malicious script is stored on the target server (e.g., in a database) and executed in the context of users who visit the infected web page.
A: XSRF (Cross-Site Request Forgery) attack: This involves tricking the user into performing actions on a different site without their knowledge but does not involve stealing cookies via script injection.
B: Command injection: This involves executing arbitrary commands on the host operating system, which is not relevant to the given JavaScript code.
C: Stored XSS: The provided code snippet matches the pattern of a stored XSS attack, where the script is injected into a web page, and when users visit the page, the script executes and sends the user's cookies to the attacker's server.
D: SQL injection: This involves injecting malicious SQL queries into the database and is unrelated to the given JavaScript code.
NEW QUESTION # 63
A security analyst needs to ensure email domains that send phishing attempts without previous communications are not delivered to mailboxes The following email headers are being reviewed
Which of thefollowing is the best action for the security analyst to take?
Answer: C
Explanation:
In reviewing email headers and determining actions to mitigate phishing attempts, the security analyst should focus on patterns of suspicious behavior and the reputation of the sending domains. Here's the analysis of the options provided:
A . Block messages from hr-saas.com because it is not a recognized domain: Blocking a domain solely because it is not recognized can lead to legitimate emails being missed. Recognition alone should not be the criterion for blocking.
B . Reroute all messages with unusual security warning notices to the IT administrator: While rerouting suspicious messages can be a good practice, it is not specific to the domain sending repeated suspicious messages.
C . Quarantine all messages with sales-mail.com in the email header: Quarantining messages based on the presence of a specific domain in the email header can be too broad and may capture legitimate emails.
D . Block vendor com for repeated attempts to send suspicious messages: This option is the most appropriate because it targets a domain that has shown a pattern of sending suspicious messages. Blocking a domain that repeatedly sends phishing attempts without previous communications helps in preventing future attempts from the same source and aligns with the goal of mitigating phishing risks.
Reference:
CompTIA SecurityX Study Guide: Details best practices for handling phishing attempts, including blocking domains with repeated suspicious activity.
NIST Special Publication 800-45 Version 2, "Guidelines on Electronic Mail Security": Provides guidelines on email security, including the management of suspicious email domains.
"Phishing and Countermeasures: Understanding the Increasing Problem of Electronic Identity Theft" by Markus Jakobsson and Steven Myers: Discusses effective measures to counter phishing attempts, including blocking persistent offenders.
By blocking the domain that has consistently attempted to send suspicious messages, the security analyst can effectively reduce the risk of phishing attacks.
NEW QUESTION # 64
Which of the following tests explains why AI output could be inaccurate?
Answer: B
Explanation:
Comprehensive and Detailed Explanation:
Model poisoning occurs when an attacker manipulates the training data or the training process of an AI model so that its predictions are deliberately inaccurate or biased. In the SecurityX CAS-005 objectives, this is part of understanding emerging technology threats, specifically AI/ML vulnerabilities. This differs from:
* Social engineering, which manipulates humans rather than AI models.
* Output handling, which deals with how outputs are processed but doesn't cause inaccuracy at the model level.
* Prompt injections, which manipulate the model at query time, not during training.Because model poisoning directly corrupts the AI model itself, it is the clearest reason AI outputs could be inaccurate.
NEW QUESTION # 65
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