Cisco Updated 300-220 Exam Questions and Answers by rosalind

The correct answer isExploit public-facing application. The log excerpt in the exhibit clearly shows amalicious HTTP GET requesttargeting aWordPress plugin PHP filewith a craftedSQL injection payload:

UNION ALL SELECT CONCAT(...)

This syntax is a classic indicator ofSQL injection, a well-documented attack technique used to exploit insufficient input validation in web applications. According to the MITRE ATT&CK framework, this behavior maps to theInitial Access tactic (TA0001)and the techniqueExploit Public-Facing Application (T1190). The attacker is directly interacting with a publicly accessible web service and abusing a vulnerability in the application code to gain unauthorized access.

From a threat hunting and forensic standpoint, this is a textbook example of how attackers commonly achieve initial access to web servers. The attacker did not authenticate via remote services (such as SSH or RDP), nor did they rely on user interaction (as in a drive-by compromise). Instead, they sent a specially crafted request to a vulnerable endpoint exposed to the internet. This makes option B incorrect becauseExternal Remote Servicesrequires legitimate service access mechanisms. Option C is also incorrect becauseCommand and Scripting Interpreteris typically usedafterinitial access, once code execution is already achieved. Option D does not apply because there is no evidence of malicious content being delivered to end users.

The forensic team’s actions—isolating the server, cloning the disk, and analyzing logs—are standard post-incident procedures to reconstruct the attack chain. Web server access logs are especially valuable in these cases, as they often reveal malicious payloads, attacker IP addresses, targeted endpoints, and timestamps.

For defenders and threat hunters, this scenario reinforces the importance of monitoring web logs for anomalous query strings, enforcing secure coding practices, conducting regular vulnerability scans, and promptly patching third-party plugins. Public-facing applications remain one of themost exploited initial access vectors, making this technique a critical focus area in modern threat hunting programs.

The correct answer isStructured threat hunting. In this scenario, the SOC team has alreadyconfirmed malicious activity—a compromised user account, anomalous VPN access, and indicators consistent with data exfiltration. Once an incident has been validated and attributed to adversary behavior, the next professional step is to performstructured threat huntingto uncover additional attacker actions across the environment.

Structured threat hunting ishypothesis-drivenand based on known attacker tactics, techniques, and procedures (TTPs), often mapped to frameworks such asMITRE ATT&CK. Here, the team can form hypotheses like:“If the adversary accessed the file server for exfiltration, they may have also attempted lateral movement, persistence, or privilege escalation.”Analysts then systematically query endpoint, identity, VPN, file server, and network telemetry to confirm or disprove these hypotheses.

Option A (Unstructured) is typically used at the earliest stages when little is known and analysts are exploring weak signals or anomalies without a defined adversary model. That phase has already passed in this case. Option B (AI-driven) refers to tooling or analytics methods rather than a threat hunting methodology. Option C (Proactive) is a general mindset applied to all hunting activities, not a specific hunting type used to investigate known attacker behavior.

From a professional SOC and threat hunting perspective, structured hunting enablesfull attack chain reconstruction. It helps identify secondary objectives such as data staging locations, additional compromised accounts, persistence mechanisms, and command-and-control activity. The outcome is a more complete understanding of the breach, improved containment, and stronger detection logic for future incidents.

This approach reflects mature security operations:once compromise is confirmed, hunt the adversary—not just the alert. Structured threat hunting ensures attackers are fully evicted and prevents repeat compromise through overlooked footholds.

The correct answer isThey produce false positives and false negatives. Automated dynamic malware analysis tools, such as sandboxes, execute suspicious files in isolated environments to observe runtime behavior. While these tools are extremely valuable in modern SOCs, they are not infallible and have well-known limitations.

False positives occur when benign software exhibits behaviors that resemble malicious activity, such as creating registry keys, spawning child processes, or making network connections. Conversely, false negatives occur when malware intentionallyevades detectionby altering its behavior. Many modern malware samples include sandbox evasion techniques such as checking for virtualized environments, delaying execution, requiring user interaction, or disabling malicious functionality when analysis artifacts are detected.

Option A is incorrect because dynamic analysis can, in fact, uncover runtime vulnerabilities and exploit behavior. Option C is misleading; while tooling coverage varies, language support is not the primary limitation. Option D refers tomanual analysis, whereas the question explicitly addresses automated tools.

From a threat hunting and malware analysis standpoint, professionals understand that sandbox results must becorrelated with other telemetry, including endpoint behavior, network traffic, and threat intelligence. Automated tools are best used as part of a layered analysis strategy, not as a single source of truth.

This limitation reinforces a core security principle:automation accelerates detection, but human judgment validates impact. Skilled analysts interpret sandbox results, investigate anomalies, and determine real-world risk. Understanding the strengths and weaknesses of dynamic analysis tools allows SOC teams to avoid overreliance on automation while still benefiting from its speed and scale.