Cisco 300-220 Exam Dumps

The correct answer is Structured threat hunting. In this scenario, the SOC team has already confirmed 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 perform structured threat hunting to uncover additional attacker actions across the environment.

Structured threat hunting is hypothesis-driven and based on known attacker tactics, techniques, and procedures (TTPs), often mapped to frameworks such as MITRE 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 enables full 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 is endpoint process ancestry tracking. Credential harvesting attacks frequently rely on fileless execution and living-off-the-land techniques.

When no files are written to disk, hash-based detection (Option A) is ineffective. Email sandboxing (Option C) and URL filtering (Option D) may detect initial delivery but provide little visibility into post-execution behavior.

Cisco Secure Endpoint provides detailed telemetry on:

Parent-child process relationships

Unexpected process spawning

Abnormal command-line arguments

Memory-resident execution

By analyzing process ancestry, hunters can identify suspicious chains such as:

Office applications spawning scripting engines

Browsers spawning credential-harvesting processes

Legitimate binaries launching unexpected child processes

This capability directly supports MITRE ATT&CK Credential Access and Defense Evasion techniques and is explicitly covered in the CBRTHD exam objectives related to endpoint-based threat hunting.

Thus, Option B is the most accurate and Cisco-aligned answer.

The pass-the-hash (PtH) technique is classified under Credential Access in the MITRE ATT&CK framework. Specifically, it aligns with the Credential Access tactic (TA0006) and the technique Use Alternate Authentication Material (T1550), sub-technique Pass the Hash (T1550.002). This classification is based on the attacker's primary objective: abusing stolen credential material---in this case, NTLM password hashes---to authenticate to systems without knowing the actual plaintext password.

From a professional cybersecurity and threat hunting perspective, PtH exploits weaknesses in how Windows authentication mechanisms handle credential storage and reuse. When users authenticate to a system, password hashes may be cached in memory or stored in places such as LSASS (Local Security Authority Subsystem Service). If an attacker gains administrative or SYSTEM-level access to a host, they can extract these hashes and reuse them to authenticate to other systems across the environment.

Although pass-the-hash is often observed during lateral movement, MITRE intentionally classifies it under Credential Access because the defining action is the theft and misuse of credential material, not the movement itself. Lateral movement is a downstream outcome enabled by the stolen credentials, but the core technique is about accessing and abusing authentication secrets.

This distinction is important for threat hunters and detection engineers. When hunting for PtH activity, defenders focus on indicators such as abnormal NTLM authentication events, logons using NTLM where Kerberos is expected, reuse of the same hash across multiple systems, and suspicious access to LSASS memory. Endpoint telemetry, Windows Security Event Logs (e.g., Event IDs 4624 and 4672), and EDR memory access alerts are commonly used data sources.

Understanding PtH as a credential access technique helps security teams prioritize protections such as credential guard, LSASS hardening, disabling NTLM where possible, enforcing least privilege, and monitoring authentication anomalies. This classification also reinforces a core professional principle: identity is the new perimeter, and protecting credential material is foundational to modern threat hunting and defense.

The correct answer is consistent attacker tradecraft mapped to MITRE ATT&CK. Attribution at a professional level relies on behavioral consistency, not superficial artifacts.

Advanced threat actors routinely rotate infrastructure, recompile malware, and vary filenames specifically to defeat attribution efforts. As a result, indicators such as IP addresses, hashes, and timestamps are unreliable and sit low on the Pyramid of Pain.

What attackers cannot easily change is how they operate. This includes:

Initial access techniques

Credential harvesting methods

Lateral movement patterns

Persistence mechanisms

Command-and-control behaviors

When these behaviors remain consistent across incidents, they form a behavioral fingerprint. Mapping these observations to MITRE ATT&CK techniques allows analysts to compare activity against known threat group profiles maintained by intelligence providers and national CERTs.

Option A and B are weak indicators easily altered by attackers. Option D provides almost no attribution value, as timing alone is coincidental and unreliable.

Professional attribution requires correlating TTPs across campaigns and validating them against historical threat actor intelligence. This method supports high-confidence attribution used in legal, executive, and geopolitical contexts.

Therefore, Option C is the correct and defensible answer.

The correct answer is endpoint memory access telemetry. Credential dumping often involves accessing sensitive memory regions, such as LSASS, rather than deploying obvious malware.

Modern attackers frequently use:

Legitimate tools

In-memory techniques

Living-off-the-land binaries

These methods bypass file-based detection entirely. Email, DNS, and firewall logs provide limited visibility into memory-level abuse.

Endpoint memory telemetry enables detection of:

Unauthorized LSASS access

Suspicious handle requests

Abnormal process injection

This telemetry is foundational for detecting credential access techniques in modern environments. Therefore, option B is correct.