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| Section | Objectives |
|---|---|
| Security Monitoring and Cisco Technologies | - Cisco Secure Network Analytics (Stealthwatch) - Log correlation and SIEM concepts - Cisco Secure Endpoint (AMP) usage |
| Network Forensics and Traffic Analysis | - Identifying malicious traffic patterns - Packet capture and analysis - Network flow analysis using Cisco tools |
| Incident Response Process | - Preparation and readiness for security incidents - Containment, eradication, and recovery procedures - Incident identification and triage |
| Digital Forensics Fundamentals | - Forensic data acquisition techniques - Evidence handling and chain of custody - Disk and memory forensics concepts |
| Endpoint and Malware Analysis | - Endpoint telemetry analysis - Use of Cisco endpoint security technologies - Malware behavior identification |
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NEW QUESTION # 96
Which tool should an investigator use to extract information about running processes from RAM?
Answer: D
Explanation:
Volatility is purpose-built for extracting and interpreting artifacts from volatile-memory images. Its Windows pslist, psscan, and pstree capabilities can enumerate active processes, scan for terminated or unlinked process structures, and reconstruct parent-child relationships present when memory was acquired. Sleuth Kit and Autopsy primarily analyze file systems and disk images. The dd utility can acquire raw data, including a device image when used appropriately, but it does not itself interpret operating-system process structures.
SIFT is a broader forensic workstation that can contain numerous tools; it is not the most precise answer when Volatility is offered directly. Cisco includes memory-forensics tools within Fundamentals objective 1.6.d and explicitly lists Volatility among the tools whose purpose and functionality candidates must recognize under Forensics Techniques objective 2.6. The official Volatility documentation confirms that pslist lists processes present in a Windows memory image. Volatility pslist documentation
NEW QUESTION # 97
Refer to the exhibit.
Which two determinations should be made about the attack from the Apache access logs? (Choose two.)
Answer: A,D
Explanation:
The Apache access logs in the exhibit show a sequence of HTTP requests and responses indicative of a malicious upload via WordPress:
A POST to:
/wp-admin/admin-ajax.php with parameters that include uploading r57.php (a known PHP web shell).
The uploaded file name appears as r57.php in:# & name=%5B%5D=r57.php & FILES...
There are plugin installation and activation attempts, specifically for:
file-manager plugin:# plugin=file-manager & ...
Which is known to be vulnerable and exploited for file uploads.
GET requests to:
/wp-content/57.php and variations such as 57.php?28 - This suggests that r57.php was successfully uploaded and is being accessed.
These logs reveal that:
D). The attacker used the WordPress file manager plugin to upload r57.php - confirmed by plugin activity and file uploads.
B). The attacker uploaded the WordPress file manager trojan - as evidenced by the direct access to /wp- content/57.php (r57 shell variant).
Other options are invalid or speculative:
A is correct in identifying r57 as a web shell, but the logs don ' t show privilege escalation.
C mentions brute force and SQL injection, which are not indicated here.
E assumes legitimate access - logs suggest exploitation, not standard login.
Reference: CyberOps Technologies (CBRFIR) 300-215 study guide, Chapter on "Analyzing HTTP and Apache Logs for Intrusion Behavior" and "Common CMS Exploits via Plugins and Upload
NEW QUESTION # 98
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: B
NEW QUESTION # 99
Refer to the exhibit.
Which type of code is being used?
Answer: D
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 # 100
Refer to the exhibit.
A network engineer is analyzing a Wireshark file to determine the HTTP request that caused the initial Ursnif banking Trojan binary to download. Which filter did the engineer apply to sort the Wireshark traffic logs?
Answer: A
Explanation:
Reference:
https://www.malware-traffic-analysis.net/2018/11/08/index.html https://unit42.paloaltonetworks.com/wireshark-tutorial-examining-ursnif-infections/
NEW QUESTION # 101
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