CrowdStrike CCCS-203b - CrowdStrike Certified Cloud Specialist

To automate response actions when a vulnerability is discovered in a container image, CrowdStrike Falcon Fusion uses the triggerKubernetes and containers > Image assessment > Vulnerabilities. This trigger activates when Falcon identifies vulnerabilities during container image scanning and assessment.

Image assessment vulnerabilities occurpre-runtime, making this trigger ideal for shift-left security automation. Actions such as sending notifications, opening tickets, tagging images, or blocking deployments via policy enforcement can be automatically initiated before vulnerable images reach production.

TheContainer detectionstrigger applies to runtime events, not image vulnerabilities.Vulnerabilities user actiontriggers depend on manual interaction and are not suitable for automated detection-driven workflows.

By using the image assessment vulnerability trigger, organizations can integrate Falcon Cloud Security findings directly into CI/CD pipelines and remediation workflows, ensuring faster response and reduced risk exposure.

Therefore, the correct Fusion workflow trigger isKubernetes and containers > Image assessment > Vulnerabilities.

During thecloud inventory phase of image assessmentinCrowdStrike Falcon Cloud Security, the platform performs a deep, non-runtime analysis of container images to establish a complete software and binary inventory. This phase is designed to build visibility and context before vulnerability analysis or enforcement occurs.

Falcon expandsall container image layersto inspect their contents individually. This layered expansion is critical because vulnerabilities and malicious artifacts can exist in any layer, including inherited base images. During this process, Falcon collectscryptographic hashes for all binary objectsfound within the image. These hashes allow Falcon to uniquely identify binaries, correlate them with known threats, and support future detection and investigation workflows.

In addition to binary hashing, Falcon enumerates andlists operating system (OS) packagesinstalled in the image. This includes system libraries and dependencies provided by the base operating system, which are essential for accurate vulnerability mapping and exposure analysis later in the assessment lifecycle.

Importantly,vulnerability identification does not occur during the inventory phase. That activity is handled in subsequent analysis stages. The inventory phase focuses exclusively onexpansion, identification, and catalogingof image contents to ensure complete visibility and accuracy.

Therefore, the correct answer isOption C, as it precisely reflects the documented activities performed during the cloud inventory phase of image assessment in CrowdStrike Falcon Cloud Security.

In CrowdStrike Falcon Cloud Security, Cloud Groups are used to logically group container images so that policies, assessments, and controls can be applied consistently across workloads. When editing or defining a Cloud Group for container images, Falcon allows administrators to select specificimage propertiesto precisely target the desired scope.

The three supported image properties areRegistry, Repository, and Tag.

Registryidentifies where the container image is hosted, such as Amazon ECR, Azure Container Registry, or Docker Hub.

Repositorydefines the image namespace or project within the registry.

Tagspecifies the image version or variant (for example, latest, v1.2.3, or prod).

Using these three properties together enables highly granular targeting. For example, security teams can apply stricter policies only to production-tagged images from a specific registry and repository, while allowing more flexibility for development images.

Options that includeNameare incorrect because CrowdStrike does not use a standalone “image name” field when defining Cloud Group image criteria. Instead, image identity is derived from the combination of registry, repository, and tag.

Therefore, the correct and fully supported selection isRegistry, Repository, and Tag, which aligns with CrowdStrike Falcon Cloud Security configuration and documentation.

A commoncloud-conscious attacker techniqueused to remain hidden in a compromised environment isdisabling CloudTrail logging. AWS CloudTrail records API activity across an account, providing critical visibility into actions taken by users, roles, and services. By disabling or tampering with CloudTrail, attackers significantly reduce the likelihood of detection.

CrowdStrike Falcon Cloud Security classifies this behavior as a high-risk indicator because it directly impacts monitoring, forensics, and incident response. Without CloudTrail logs, security teams lose audit trails that are essential for identifying malicious actions such as privilege escalation, data exfiltration, or persistence mechanisms.

Other options represent misconfigurations or changes that may increase exposure but do not directly suppress visibility. For example, modifying storage networking or security groups increases attack surface, while adding certificates may support persistence—but none are as directly linked to stealth as disabling logging.

Therefore,CloudTrail logging disabledis the correct answer and a well-documented cloud attack tactic used to evade detection.

Cloud Groups in CrowdStrike Falcon Cloud Security are designed to logically segment cloud resources so users can focus only on what is relevant to their role or responsibility. The primary way cloud groups reduce noise is bynarrowing a user’s scope of analysis through filtered cloud resources.

By grouping resources based on criteria such as account, region, service, or tags, Cloud Groups ensure that analysts and responders only see findings related to the resources they own or manage. This minimizes alert fatigue, reduces unnecessary exposure to unrelated findings, and improves investigation efficiency.

Cloud Groups do not assign permissions directly; permissions are managed through Falcon RBAC roles. They also do not primarily function as exclusion mechanisms—although exclusions may be applied, their core purpose is scoping and contextualization.

CrowdStrike best practices emphasize Cloud Groups as a way to align security visibility with organizational structure, enabling teams to operate more efficiently and responsibly. Therefore, the correct answer isNarrow a user’s scope of analysis by filtering cloud resources.

To reduce operational overhead and help security teams remediate cloud misconfigurations efficiently, CrowdStrike Falcon Cloud Security recommends enablingCloud posture remediation. This CSPM capability is designed to streamline and automate remediation workflows for cloud control plane misconfigurations identified through Indicators of Misconfiguration (IOMs).

Cloud posture remediation provides guided, cloud-native remediation instructions and, in supported scenarios, automated fixes that align with provider best practices (such as AWS IAM, logging, and networking controls). This is particularly valuable when internal teams lack deep cloud expertise or when remediation is outsourced to third parties, as it reduces back-and-forth communication and manual investigation.

Other options do not directly remediate issues.Scheduled reportsandJSON exportsare reporting mechanisms only. TheSIEM Connectorforwards telemetry but does not resolve misconfigurations. Cloud posture remediation directly addresses the root problem by accelerating corrective actions and reducing mean time to remediation (MTTR).

Therefore, the correct answer isCloud posture remediation.

To confirm whether malware exists within a container image, CrowdStrike Falcon Cloud Security directs investigators to reviewImage detection findings. These findings are generated during container image assessments, where Falcon performs deep inspection of image layers, binaries, and embedded artifacts.

Image detection findings include indicators of known malware, suspicious executables, malicious scripts, and other threats identified through CrowdStrike’s threat intelligence and detection engines. Because container images are often reused across environments, identifying malware at the image level is critical to preventing widespread propagation.

Other options do not directly confirm malware within an image.Drift indicatorsrelate to changes in a running container compared to its original image, not malware embedded in the image itself.Container alertsare typically runtime detections triggered by behavior during execution.Container misconfigurationsfocus on insecure settings rather than malicious code.

By reviewing image detection findings, security teams can identify infected images early, remediate by rebuilding clean images, and prevent deployment through policy enforcement mechanisms such as the Kubernetes Admission Controller. Therefore, the correct investigation path for suspected malware in a container image isImage detection findings.

InFalcon Cloud Security Network Events, port states reflect how network connections are established and handled at runtime. The platform uses standardized connection state terminology to help analysts understand traffic behavior and intent.

The three valid port states are:

Connect: Indicates an outbound connection attempt initiated by a process or container.

Accept: Represents an inbound connection that was accepted by a listening process.

Listen: Shows that a process is actively listening on a port for incoming connections.

These states provide crucial context for detecting suspicious behavior such as unauthorized listeners, unexpected inbound access, or abnormal outbound communications. Other options include terms not used by Falcon to define port state semantics within Network Events.

Therefore,Connect, Accept, and Listenis the correct answer.

InCrowdStrike Falcon Cloud Security, preventing a container process from altering its expected behavior is achieved throughcontainer drift preventionenforced by theFalcon Linux sensorat runtime.

Container drift occurs when a running container deviates from its original image state, such as when new binaries are written, files are modified, or unexpected processes execute. Drift is a strong indicator of compromise, misconfiguration, or malicious activity.

By enablingcontainer drift prevention on the Linux sensor, Falcon enforcesruntime immutability, ensuring that containers only execute binaries and processes that were present at image build time. Any unauthorized modifications or executions are either detected or actively blocked, depending on policy configuration.

Creating a custom IOA is not the most effective approach because IOAs are reactive and behavior-based rather than enforcing immutability. The Kubernetes Admission Controller operates at deployment time, not runtime, and cannot prevent post-deployment process changes. Image Assessment policies only affect image deployment decisions and do not control runtime behavior.

Therefore,Option Ais correct because container drift prevention is specifically designed toprotect runtime container integrity, ensuring containers behave exactly as expected throughout their lifecycle.