Pass the Cisco Certified Specialist - Threat Hunting and Defending 300-220 Questions and answers with Dumpstech

The correct answer isendpoint process ancestry tracking. Credential harvesting attacks frequently rely onfileless executionand 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 supportsMITRE ATT&CK Credential Access and Defense Evasion techniquesand is explicitly covered in theCBRTHD exam objectivesrelated to endpoint-based threat hunting.

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

The correct answer isit indicates disciplined and methodical tradecraft. Attribution relies on understandingattacker behavior patterns, not just tools or infrastructure.

Consistent operational discipline—such as cautious discovery, avoidance of noisy actions, and deliberate escalation—reflectshuman decision-making, which is difficult to change and often persists across campaigns.

Options A, B, and D focus on artifacts or infrastructure, which attackers frequently rotate. Behavioral patterns, however, form atradecraft fingerprint.

Cisco-aligned threat hunting usesMITRE ATT&CK technique mappingand behavioral consistency to support attribution, making this observation highly valuable.

Thus,Option Cis correct.

The correct answer isendpoint 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 detectingcredential access techniquesin modern environments. Therefore, optionBis correct.

The correct answer isAttack trees. Attack trees are uniquely suited for modelingmulti-step adversary behavior, which is essential when analyzing complex attack chains such as account takeover followed by data exfiltration.

Attack trees begin with ahigh-level attacker goal(for example, “Exfiltrate customer data”) and then break that goal into multiple branches representing different paths an attacker could take. These paths can include credential compromise, API abuse, privilege escalation, lateral movement, and persistence. This structure mirrors how real adversaries think and operate.

Option A (STRIDE) is useful for identifying broad threat categories—such as spoofing, tampering, or information disclosure—but it does not naturally capturesequential attack paths. Option B (CVSS) focuses on vulnerability severity scoring, not adversary behavior. Option D (DREAD) assesses risk impact but does not visualize how attacks unfold across systems.

For threat hunters and defenders, attack trees provide ashared mental modelbetween architects, SOC teams, and red teams. They directly inform detection engineering by highlightingcritical choke pointswhere attacker behavior must occur, such as token abuse, API enumeration, or anomalous role assumption in cloud environments.

In modern cloud security, where breaches often involvemultiple low-severity issues chained together, attack trees offer far greater strategic value than component-by-component analysis. They also align closely withMITRE ATT&CK mapping, enabling defenders to translate threat models into actionable hunts.

Thus, optionCis the most appropriate and professionally validated answer.

The correct answer isformulating a hypothesis to search for credential misuse without alerts. This activity is the defining characteristic ofthreat hunting.

Threat hunting isproactive and hypothesis-driven, meaning analysts intentionally search for attacker behavior that has not yet triggered alerts. Detection engineering, on the other hand, focuses on building and tuning automated rules that respond to known patterns.

Options A, B, and D all representreactive or preventative security operations. They rely on known indicators or alerts and are foundational but insufficient against stealthy adversaries who abuse valid credentials and native tools.

Cisco’sCBRTHD blueprintexplicitly emphasizes hypothesis-based hunting as a core competency. Hunters ask questions like:

“If credentials were stolen, how would that look in our telemetry?”

“What behavior would indicate lateral movement without malware?”

This approach aligns with detectingIndicators of Attack (IOAs)and operating higher on thePyramid of Pain, forcing adversaries to change tactics instead of infrastructure.

Therefore,Option Cis the correct and Cisco-aligned answer.

The correct answer isNetwork/host artifacts. To understand why, it is important to map the observed attacker behavior to thePyramid of Pain, a model that ranks indicators by how difficult they are for adversaries to change once detected.

In this scenario, the adversary is usingNmap OS fingerprinting, which involves sending carefully crafted packets and analyzing responses (TCP/IP stack behavior, TTL values, window sizes, flags, and timing characteristics). These behaviors leave behindnetwork and host artifacts, such as distinctive scan patterns, abnormal TCP flag combinations, OS fingerprinting probes, and consistent tool-specific traffic signatures.

On the Pyramid of Pain:

IP addresses (D)sit at the very bottom. Attackers can trivially change IPs using VPNs, proxies, or botnets.

Port probes (B)andUDPs (A)represent low-level indicators that are also easy to modify. An attacker can change scan ports, protocols, or scan timing with minimal effort.

Network/host artifacts (C)sit significantly higher. These include tool-generated behaviors, protocol anomalies, OS fingerprinting patterns, and scan logic inherent to tools like Nmap. Changing these requires attackers to reconfigure tools, write custom scanners, or significantly alter their operational approach.

From a threat hunting and SOC maturity perspective, detecting and alerting onnetwork and host artifactsforces attackers to expend more time and resources, increasing their operational cost. This aligns with the core objective of the Pyramid of Pain:maximize adversary pain by detecting behaviors, not easily replaceable indicators.

Professionally mature SOC teams focus on identifying scanning techniques (e.g., Nmap OS detection, TCP ACK probes, UDP probes) rather than blocking individual IPs. These detections are resilient, scalable, and effective against both commodity attackers and advanced adversaries.

In short, while IPs and ports are useful for short-term containment,network and host artifacts provide the highest-value indicators in this scenario, makingCthe correct answer.

The correct answer isit reveals consistent attacker tradecraft across incidents. Attribution relies onbehavioral consistency, not on malware samples or exploits.

Avoiding malware and abusing legitimate tools (living-off-the-land techniques) reflects adeliberate operational strategy. These behaviors tend to remain consistent across campaigns and are frequently documented in threat intelligence profiles.

Options A and D are incorrect because no exploit or ransomware is involved. Option B is incorrect; living-off-the-land techniques are modern, not outdated.

Cisco-aligned threat hunting emphasizesMITRE ATT&CK mappingand behavioral analysis to support attribution efforts. This approach is far more reliable than artifact-based attribution.

Thus,Option Cis the correct answer.

The correct answer isanalyzing authentication behavior anomalies across users and devices. Credential abuse is one of the most common and effective techniques used by modern attackers because it allows them to blend in with legitimate activity and bypass malware-based defenses.

Options A and B rely on malware indicators, which are often absent in credential-based attacks. Option D addresses only one potential delivery or command-and-control vector and does not detect misuse of valid credentials.

By analyzing authentication behavior, threat hunters can detect:

Impossible travel scenarios

Abnormal login times

Excessive failed logins followed by success

Logins from unusual devices or locations

Cisco tools such asCisco Secure Network Analytics, VPN telemetry, and identity logs provide rich data sources for this type of hunting. This approach focuses onIndicators of Attack (IOAs)rather than Indicators of Compromise (IOCs), pushing detection higher on thePyramid of Pain.

Within theCBRTHD blueprint, hunting for credential misuse is a core competency, especially in cloud and remote-access environments. Detecting these behaviors early significantly reduces attacker dwell time and limits the blast radius of compromise.

Therefore,Option Cis the most effective and Cisco-aligned answer.