Cisco Conducting Threat Hunting and Defending using Cisco Technologies for CyberOps 300-220 CBRTHD Exam Questions

Answer : C

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.

Answer : A

The correct answer is Collect and process intelligence and data. In this scenario, the initial threat hunting phase occurred when the SOC team received the alert and began analyzing SIEM logs to validate whether the activity was legitimate or malicious. This aligns directly with the first phase of the threat hunting lifecycle, which focuses on gathering, normalizing, and analyzing security-relevant data.

Threat hunting is a structured, hypothesis-driven process, but it always begins with data collection and intelligence processing. This includes ingesting logs from identity providers, authentication systems, cloud platforms, VPNs, and endpoint telemetry into a SIEM. In this case, the alert regarding a sign-in from an unusual country triggered analysts to examine historical login patterns and geolocation data. By confirming that the user had never authenticated from that country, the team established that the event was anomalous and likely malicious.

Option B (Response and resolution) occurred after the initial phase, when the IT administrator reset the user's password to contain the threat. Option C (Hypothesis) would involve formulating a theory such as ''the account may be compromised due to credential theft,'' but this step requires validated data first. Option D (Post-incident review) only happens after the incident has been fully resolved and lessons learned are documented.

From a professional cybersecurity operations perspective, this phase is critical because high-quality data determines hunt effectiveness. Poor log coverage or incomplete identity telemetry would prevent analysts from confidently confirming the anomaly. This example also highlights why identity-related telemetry is foundational to modern threat hunting---compromised credentials remain one of the most common initial access vectors.

In short, before a SOC can hypothesize, respond, or improve controls, it must first collect and process accurate intelligence and data, making option A the correct answer.

Answer : C

The correct answer is documenting findings and updating detection logic. Threat hunting delivers long-term value only when discoveries are operationalized.

Options A and B are necessary incident response actions but do not improve future detection. Option D delays remediation and risks further damage.

Within the CBRTHD threat hunting lifecycle, confirmed malicious activity should result in:

Detailed documentation of attacker techniques

Identification of detection gaps

Creation or refinement of SIEM, EDR, or NDR rules

This process ensures that similar behavior will be detected automatically in the future, reducing reliance on manual hunts. It also increases organizational maturity by institutionalizing knowledge.

Cisco emphasizes this feedback loop as a core principle of effective threat hunting. Without it, SOC teams repeatedly rediscover the same threats.

Thus, Option C is the correct and professionally validated answer.

Answer : C

The correct answer is standardizing hunt documentation and hypotheses. Mature threat hunting programs move beyond ad-hoc, intuition-driven efforts.

Standardization enables:

Knowledge sharing

Consistent methodology

Repeatable hunts

Easier onboarding of new analysts

Option A and B support operations but do not improve hunting maturity. Option D is unrealistic and risky.

By documenting hypotheses, data sources, queries, findings, and outcomes, organizations institutionalize knowledge and continuously improve detection capabilities.

This is a defining characteristic of high-maturity threat hunting programs.

Therefore, option C is correct.

Answer : A

The correct answer is Connection status. In this scenario, the key challenge for the security team is differentiating legitimate outbound traffic from malicious or DDoS-related traffic originating from the same web server. Since both types of traffic coexist in the logs, analysts must rely on an attribute that meaningfully distinguishes normal behavior from abnormal patterns.

The exhibit shows numerous TCP connections from the web server to many different external IP addresses, with varying TCP states such as ESTABLISHED, TIME_WAIT, and FIN_WAIT. These connection states are highly valuable for threat hunting and network analysis. During DDoS activity---especially reflected or amplification-style attacks, or when a server is abused as part of an attack---connections often remain half-open, rapidly transition to TIME_WAIT, or fail to fully establish. In contrast, legitimate web traffic typically results in stable, short-lived ESTABLISHED sessions that follow predictable patterns.

Option B (destination port) is not useful here because most web traffic---both legitimate and malicious---commonly uses ports 80 or 443. Option C (IP address of the web server) provides no filtering value because all traffic already originates from that server. Option D (protocol) is also ineffective, as both normal and DDoS traffic in this case use TCP.

From a professional SOC and threat hunting standpoint, connection state analysis is a foundational technique for detecting volumetric attacks, beaconing behavior, and abnormal session churn. By filtering logs based on connection status, analysts can quickly isolate suspicious patterns such as excessive short-lived connections, abnormal teardown behavior, or asymmetric session states that are characteristic of DDoS-related activity.

This approach aligns with mature threat hunting practices: when indicators overlap, pivot to behavioral attributes. Connection status provides the necessary behavioral signal to separate expected traffic from attack traffic and supports faster, more accurate incident response.

Answer : C

The correct answer is it exposes consistent attacker tradecraft. Attribution relies on identifying how attackers behave, not just what tools or infrastructure they use.

Using valid credentials, avoiding malware, and abusing remote management protocols represent intentional operational choices. These behaviors are difficult to change and often persist across campaigns.

Option A and B focus on artifacts that attackers frequently rotate. Option D assumes exploitation, which may not be present at all.

Cisco-aligned threat hunting emphasizes:

MITRE ATT&CK technique mapping

Behavioral consistency

Operational patterns

This information enables analysts to compare activity against known adversary profiles maintained by Cisco Talos and other intelligence sources.

Thus, Option C is the correct answer.

Answer : D

The correct answer is Credential Access. In the MITRE ATT&CK framework, password spraying is classified under the Credential Access tactic (TA0006), specifically technique T1110.003 -- Password Spraying. This classification is based on the attacker's primary objective: gaining valid credentials by systematically attempting a small number of common or weak passwords across many user accounts.

Password spraying differs from brute-force attacks in that it intentionally avoids rapid or repeated attempts against a single account, thereby evading account lockout controls and basic detection mechanisms. Instead, attackers ''spray'' one password (for example, Winter2025! or Password123) across a large number of users, exploiting the likelihood that at least one account will use that password.

Although successful password spraying often leads to initial access, MITRE classifies it under Credential Access because the technique's defining action is the acquisition of credentials, not the system entry itself. Initial access is the outcome, while credential theft is the method. This distinction is critical for threat hunters, as it guides where detections and controls should be focused.

From a professional threat hunting perspective, defenders monitor authentication telemetry such as failed and successful logins across identity providers, VPNs, cloud services, and email platforms. Indicators include multiple authentication failures across many accounts from a single source IP, followed by one or more successful logins. Identity-centric logging and anomaly detection are foundational here, reinforcing the principle that identity is the primary attack surface in modern environments.

Understanding password spraying as a credential access technique helps organizations prioritize protections such as strong password policies, MFA enforcement, adaptive authentication, and detection logic tuned for low-and-slow authentication abuse.