Free Cisco Conducting Threat Hunting and Defending using Cisco Technologies for Cybersecurity 300-220 Exam Questions

The correct answer is analyzing abnormal behavior patterns across identity, endpoint, and network telemetry. This approach represents the foundation of modern threat hunting and directly addresses adversaries who deliberately avoid traditional detections.

Advanced attackers increasingly rely on living-off-the-land techniques, stolen credentials, and legitimate administrative tools such as PowerShell, WMI, RDP, and cloud APIs. These activities rarely generate malware signatures or known IOCs, making alert-driven and signature-based defenses insufficient. As a result, mature threat hunting programs shift focus toward behavioral analysis and anomaly detection.

Option A and D rely on static indicators such as IPs, domains, and hashes. These sit at the lowest levels of the Pyramid of Pain and are trivial for attackers to change. Option B is purely reactive and limited to known malware, offering little value against stealthy intrusions.

By correlating identity logs (authentication patterns, geolocation anomalies), endpoint telemetry (process execution, parent-child relationships), and network activity (unusual connections, lateral movement patterns), hunters can detect Indicators of Attack (IOAs) rather than waiting for confirmed compromise. This enables identification of credential misuse, privilege abuse, and lateral movement even when no malware is present.

This methodology aligns with MITRE ATT&CK TTP-based hunting, which focuses on tactics and techniques instead of tools or infrastructure. It also reflects a higher tier in the Threat Hunting Maturity Model, where organizations proactively search for unknown threats rather than responding to alerts.

In professional SOC environments, this shift dramatically increases detection coverage against advanced adversaries and reduces dwell time. Therefore, option C is the most accurate and strategically sound answer.

The correct answer is C. Modifying this key requires administrative privileges, which the malware might not have.

The exhibit shows persistence established under the registry path:

HKEY_CURRENT_USER\Software\Microsoft\Windows\CurrentVersion\Run

This registry key is a per-user startup location, meaning any executable listed there will automatically run when that specific user logs in. Crucially, write access to HKEY_CURRENT_USER (HKCU) does not require administrative privileges---only the privileges of the compromised user account.

In contrast,

HKEY_LOCAL_MACHINE\Software\Microsoft\Windows\CurrentVersion\Run

applies system-wide and causes programs to execute at startup for all users. However, modifying this key requires local administrator privileges. In many real-world breaches, attackers initially compromise standard user accounts, not administrators. As a result, malware often chooses HKCU-based persistence mechanisms because they are reliable, stealthy, and achievable without privilege escalation.

Options A and D are incorrect because both registry paths are fully supported in modern versions of Windows and are explicitly designed for startup execution. Option B is incorrect because neither key automatically removes entries after a reboot---both are persistent by design.

From a threat hunting and endpoint detection perspective, this distinction is critical. HKCU persistence indicates:

User-level compromise

No confirmed administrative access (yet)

Potential precursor to privilege escalation attempts

This technique maps to MITRE ATT&CK -- Persistence: Boot or Logon Autostart Execution (T1547.001). Mature SOC teams monitor both HKCU and HKLM Run keys, but they interpret them differently when reconstructing attacker capability and progression.

In summary, the attacker used HKCU because it enables persistence without requiring administrative privileges, making Option C the correct and professionally accurate answer.

The correct answer is legitimate system processes executing encoded commands. Fileless malware avoids writing binaries to disk and instead abuses trusted processes such as PowerShell, WMI, or rundll32.

Encoded or obfuscated commands executed by legitimate binaries are a strong indicator of fileless execution and defense evasion. Cisco Secure Endpoint provides deep visibility into command-line arguments and process behavior, enabling detection of this technique.

Option A is normal behavior. Option B may indicate suspicious execution but still involves files. Option D relies on file presence, which fileless attacks intentionally avoid.

This technique aligns with MITRE ATT&CK -- Command and Scripting Interpreter and Defense Evasion and is directly relevant to CBRTHD exam objectives related to endpoint-based threat hunting.

Therefore, Option C is the correct answer.

The correct answer is reduction in attacker dwell time. Dwell time measures how long an attacker remains undetected in the environment.

As threat hunting maturity increases:

Detection becomes faster

Behavioral coverage improves

Attackers are identified earlier in the kill chain

Metrics such as alert volume or blocked IPs (Options A and D) do not reflect effectiveness and may even indicate excessive noise. Option B measures inputs, not outcomes.

Cisco's CBRTHD blueprint focuses on outcomes, not activity. Reduced dwell time demonstrates:

Effective hunting

Better visibility

Stronger detection engineering

This metric directly correlates with reduced breach impact and improved resilience.

Therefore, Option C is the correct and Cisco-aligned answer.

The correct answer is Observation of repeated failed logins followed by a successful login from a new location. This scenario represents an Indicator of Attack (IOA) because it reflects attacker behavior in progress, not confirmed compromise.

IOAs focus on patterns of malicious intent, such as credential abuse, reconnaissance, or lateral movement, even when no malware or known indicators are present. In this case, the sequence of failed authentication attempts followed by a successful login from an unusual location strongly suggests password spraying or credential stuffing, both common initial access techniques.

Options A, B, and D are classic Indicators of Compromise (IOCs). Hashes, domains, and IP addresses are static artifacts that indicate a system has already been compromised. These indicators sit low on the Pyramid of Pain and are easy for attackers to change.

Cisco's CBRTHD blueprint emphasizes hunting for IOAs because they enable:

Earlier detection

Reduced dwell time

Higher attacker cost

Cisco tools such as Secure Network Analytics, Secure Endpoint, and SIEM platforms are designed to correlate behavioral signals like authentication anomalies rather than relying solely on known bad indicators.

Therefore, Option C is the correct and Cisco-aligned answer.

The correct answer is it reflects the attacker's operational preferences. Attribution relies on understanding how attackers operate, not just what tools they use.

Operational preferences---such as avoiding PowerShell logging, disabling AMSI, and favoring WMI---are behavioral signatures. These patterns often persist across campaigns and are documented in threat intelligence reports associated with specific adversaries.

Option A is incorrect because malware families change frequently. Option B is unreliable due to infrastructure rotation. Option D is unrelated to post-access tradecraft.

Professional attribution focuses on:

Execution methods

Defensive evasion choices

Tooling preferences

Workflow consistency

Mapping these behaviors to MITRE ATT&CK techniques enables analysts to compare findings against known threat actor profiles. This provides higher confidence attribution than artifact-based indicators.

Thus, option C is the correct answer.

The correct answer is B. Using 'SecurityScan/2.5' to access all /admin endpoints. This log entry most clearly aligns with an authorized security assessment activity designed to test weaknesses previously exploited during a breach.

Authorized security assessments---such as penetration tests or red team exercises---are typically controlled, scoped, and intentional. They focus on validating security controls by probing sensitive areas (like administrative interfaces) while avoiding destructive actions. The user-agent string 'SecurityScan/2.5' strongly suggests a purpose-built security scanning tool, which is commonly used by internal security teams or third-party assessors during sanctioned testing.

Option A is incorrect because performing login attempts at scale using leaked credentials would constitute real-world malicious behavior unless explicitly approved and tightly controlled. Even in authorized tests, credential stuffing with known leaked credentials is highly sensitive and would be explicitly documented; the wording here implies adversary behavior rather than assessment activity.

Option C is clearly malicious and inappropriate for an authorized assessment. Executing a shutdown command is a destructive action and would violate standard rules of engagement for professional security testing. Such activity would be classified as adversarial exploitation, not a controlled delivery method.

Option D represents benign reconnaissance. A generic web crawler gathering public-facing information is typically associated with search engines or basic reconnaissance and does not directly test weaknesses related to a prior breach. While reconnaissance is part of assessments, it is not a strong indicator of a targeted, authorized delivery method.

From a threat hunting and SOC perspective, recognizing authorized assessment activity is critical to avoid misclassifying tests as incidents. Indicators include identifiable scanner user agents, predictable request patterns, limited scope targeting (such as /admin paths), and non-destructive behavior. This scenario reinforces an important operational lesson: context, intent, and tooling matter. Among the options, SecurityScan/2.5 targeting administrative endpoints best reflects a legitimate, authorized security assessment delivery method.

The correct answer is it highlights consistent attacker tradecraft. Attribution depends on recognizing behavioral patterns that persist across campaigns.

Attackers frequently change malware, infrastructure, and exploits, but they are far less likely to change how they prefer to operate. Consistent use of SMB for lateral movement and deliberate avoidance of PowerShell reflect conscious operational choices.

Option A is unrelated to lateral movement behavior. Option B assumes malware development, which may not exist. Option D addresses impact, not attribution.

Cisco-aligned threat hunting uses MITRE ATT&CK technique mapping to correlate observed behaviors with known threat actor profiles. These behavioral fingerprints provide far stronger attribution confidence than low-level indicators.

Therefore, Option C is the correct answer.

The correct answer is Use Deep Packet Inspection (DPI) to block malicious domains. The key detail in this scenario is that the endpoint is making continuous outbound TCP connections to a known Command-and-Control (C2) server over port 80, which strongly indicates active malware beaconing or payload retrieval.

Deep Packet Inspection enables security controls---such as next-generation firewalls or network security analytics platforms---to inspect application-layer content, including HTTP headers, URLs, domains, and payload characteristics. This allows defenders to block C2 communication based on domain names, URL patterns, or behavioral signatures, even if attackers change IP addresses. Since C2 infrastructure is frequently rotated, IP-based blocking alone is insufficient for long-term mitigation.

Option A (browser extension deny list) may help prevent a specific initial infection vector, but it does not address post-compromise C2 traffic, especially if malware communicates independently of the browser. Option B (antivirus quarantine) is reactive and limited by signature coverage; modern malware often evades AV detection. Option D (IDS) can detect similar connections but typically does not block traffic unless integrated with an IPS or firewall, making it less effective for mitigation.

From a professional threat hunting and SOC standpoint, blocking C2 communication at the network layer using DPI is a high-impact defensive control. It disrupts attacker command channels, prevents data exfiltration, and buys time for endpoint remediation and forensic investigation.

This aligns with MITRE ATT&CK -- Command and Control (TA0011) mitigation strategies and reflects a mature security posture: detect at the endpoint, disrupt at the network. Therefore, option C is the most effective action to mitigate similar connections in the future.

The correct answer is behavioral analysis of outbound traffic patterns. Advanced attackers intentionally use standard protocols such as HTTP and HTTPS to blend exfiltration traffic with normal activity.

Hash-based and signature-based methods are ineffective because:

No malware may be present

Traffic appears legitimate

Infrastructure is frequently rotated

Behavioral analysis detects anomalies such as:

Unusual data transfer volumes

Abnormal session timing

Beaconing patterns

Rare destinations

This approach aligns with network threat hunting best practices and forces attackers to significantly alter behavior, increasing adversary cost.

Therefore, option B is correct.