CompTIA CySA+ Changed CS0-003 Questions

In digital forensics, a write blocker is a critical tool used to prevent any modifications to the source drive during imaging. When a forensic image is created, it should be an exact bit-for-bit copy of the original evidence. If a write blocker is not used, system processes or other unintended changes can alter the contents of the drive, leading to a hash mismatch between the original and the image copy​.

Chain of custody (Option A)ensures proper documentation of who accessed the evidence, but it does not directly affect the hash values.

Legal authorization (Option B)is necessary but unrelated to the technical integrity of the image.

Data integrity verification (Option C)is part of the process, but in this scenario, the failure to maintain integrity stems from the lack of a write blocker​.

Thus, the correct answer isD, as using a write blocker would have prevented any unintended changes to the data​.

The output shows the results of a port scan, which is a technique used to identify open ports and services running on a network host. Port scanning can be used by attackers to discover potential vulnerabilities and exploit them, or by defenders to assess the security posture and configuration of their network devices1

The output lists six ports that are open on the target host, along with the service name and version associated with each port. The service name indicates the type of application or protocol that is using the port, while the version indicates the specific release or update of the service. The service name and version can provide useful information for both attackers and defenders, as they can reveal the capabilities, features, and weaknesses of the service.

Among the six ports listed, two are particularly risky and should be investigated further by the security team: port 23 and port 636.

Port 23 is used by Telnet, which is an old and insecure protocol for remote login and command execution. Telnet does not encrypt any data transmitted over the network, including usernames and passwords, which makes it vulnerable to eavesdropping, interception, and modification by attackers. Telnet also has many known vulnerabilities that can allow attackers to gain unauthorized access, execute arbitrary commands, or cause denial-of-service attacks on the target host23

Port 636 is used by LDAP over SSL/TLS (LDAPS), which is a protocol for accessing and modifying directory services over a secure connection. LDAPS encrypts the data exchanged between the client and the server using SSL/TLS certificates, which provide authentication, confidentiality, and integrity. However, LDAPS can also be vulnerable to attacks if the certificates are not properly configured, verified, or updated. For example, attackers can use self-signed or expired certificates to perform man-in-the-middle attacks, spoofing attacks, or certificate revocation attacks on LDAPS connections.

Therefore, the security team should investigate further why port 23 and port 636 are open on the target host, and what services are running on them. The security team should also consider disabling or replacing these services with more secure alternatives, such as SSH for port 23 and StartTLS for port 6362

The shell script function that could help identify possible network addresses from different source networks belonging to the same company and region is:

function y() { dig $(dig -x $1 | grep PTR | tail -n 1 | awk -F ”.in-addr” ’{print $1}’).origin.asn.cymru.com TXT +short }

This function takes an IP address as an argument and performs two DNS lookups using the dig command. The first lookup uses the -x option to perform a reverse DNS lookup and get the hostname associated with the IP address. The second lookup uses the origin.asn.cymru.com domain to get the autonomous system number (ASN) and other information related to the IP address, such as the country code, registry, or allocation date. The function then prints the IP address and the ASN information, which can help identify any network addresses that belong to the same ASN or region

User behavior analysis (UBA) is the most effective method for detecting abnormal account activity.

UBA uses machine learning and behavioral analytics to identify patterns in how users interact with systems. If an employee suddenly logs in from an unusual location or accesses resources outside of their normal behavior, it raises an alert​.

Option A (Malicious command interpretation) is focused on malware analysis, not user behavior.

Option B (Network monitoring) detects anomalies at the network level, but does not specifically focus on user behaviors.

Option D (SSL Inspection) is useful for decrypting encrypted traffic, but it does not analyze user activity patterns.