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| Section | Weight | Objectives |
|---|---|---|
| Forensics Techniques | 20% | - Script analysis (Python, PowerShell, Bash) for log processing - Forensic tools: Volatility, Sysinternals, SIFT, TCPdump - Identifying Indicators of Compromise (IOC) from tools output - MITRE ATT&CK framework for fileless malware analysis - Host-based evidence location and collection |
| Forensics Processes | 15% | - Antiforensic techniques: debugging, geolocation, obfuscation - Legal and compliance considerations - Data acquisition: memory, disk, network - Evidence handling and chain of custody |
| Incident Response Techniques | 30% | - Cisco security solutions for detection and prevention - Interpreting alerts from SIEM, IDS/IPS, syslog - Response to zero-day exploits and vulnerabilities - Post-incident analysis and improvement actions - Attack vector analysis and mitigation recommendations - Threat intelligence interpretation: IOCs, IOAs, actor profiling - Correlating host and network activity data |
| Malware Analysis | 15% | - Malware family and campaign identification - Malware classification and behavior analysis - Reverse engineering principles - Static and dynamic malware analysis |
| Fundamentals | 20% | - YARA rules for malware identification and classification - Antiforensic tactics, techniques, and procedures - Encoding and obfuscation techniques - Network infrastructure device forensics - Evidence collection in virtualized environments - Root cause analysis reporting components |
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NEW QUESTION # 164
A cybersecurity analyst must evaluate files from an endpoint in an enterprise network. The antivirus software on the endpoint flagged a suspicious file during a routine scan On initial evaluation the file did not match any known signatures in the antivirus database, but exhibited unusual network behavior during dynamic analysis Which step should the analyst take next?
Answer: A
NEW QUESTION # 165
Refer to the exhibit.
After a cyber attack, an engineer is analyzing an alert that was missed on the intrusion detection system. The attack exploited a vulnerability in a business-critical, web-based application and violated its availability.
Which two mitigation techniques should the engineer recommend? (Choose two.)
Answer: B,D
Explanation:
The alert indicates a WebDAV Stack Buffer Overflow, which is a memory corruption attack targeting the stack, a common vector for remote code execution or denial-of-service (DoS).
To mitigate such exploits, two effective system-hardening techniques are:
C). Address Space Layout Randomization (ASLR):Randomizes memory addresses used by system and application processes, making it difficult for attackers to predict where their malicious code will be executed.
E). Data Execution Prevention (DEP):Prevents execution of code from non-executable memory regions such as the stack, thus stopping buffer overflow attacks from successfully executing payloads.
Both are well-established protections against stack-based buffer overflow attacks and are strongly recommended in the Cisco CyberOps Associate guide and general security best practices.
NEW QUESTION # 166
Refer to the exhibit.
Which type of code is being used?
Answer: C
Explanation:
The code in the exhibit is written in Python. Here's how we can confirm:
* The function definition uses Python syntax: def function_name(args):
* It uses the b64encode and decode functions - typical of Python's base64 module.
* Data structures such as dictionaries are used with curly braces (e.g., form_data = {entry1: enc1, ...}).
* The conditional syntax uses "if r.status_code == 200:" which is Pythonic.
* The request object "r = post(...)" and use of headers show standard use of the Python requests library.
This type of script is typical in exfiltration scenarios where encoded information is sent via a web form (in this case Google Forms), bypassing detection systems.
Reference: CyberOps Technologies (CBRFIR) 300-215 study guide, Chapter on "Working with Malware and Exploit Scripts," which includes analysis of obfuscated and encoded scripts written in Python used for data exfiltration or C2 communication.
NEW QUESTION # 167
Refer to the exhibit.
According to the SNORT alert, what is the attacker performing?
Answer: B
Explanation:
The alert clearly identifies ET SCAN DirBuster Web App Scan in Progress, referencing SID 2008186, which is a Snort signature that specifically detects DirBuster activity. DirBuster is a well-known tool used for brute- forcing hidden directories and files on web servers.
The Cisco CyberOps Associate guide and OWASP both identify directory brute-forcing as a reconnaissance technique to find unprotected or misconfigured endpoints on web applications, typically prior to launching deeper attacks.
Therefore, the correct interpretation of the alert is:
C). brute-force attack against directories and files on the target webserver.
NEW QUESTION # 168 
Answer: D
Explanation:
Comprehensive and Detailed Explanation:
From the exhibit, Cisco Secure Malware Analytics (formerly Threat Grid) has captured outbound HTTP POST communication to the IP address 51.38.124.206 on port 80. This destination is highlighted in the analysis under "Outbound HTTP POST Communications," indicating exfiltration behavior or command-and- control (C2) signaling.
Key indicators:
* The report shows that binary data was POSTed to this IP.
* The source system generated 22 packets and sent 6,192 bytes.
* The system has flagged the behavior with a severity of 25 and confidence of 25-suggesting that this is an IoC worth acting on.
Therefore, the artifacts suggest that the destination IP 51.38.124.206 is involved in malicious activity, and the correct answer is:
A: Destination IP 51.38.124.206 is identified as malicious.
NEW QUESTION # 169
......
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