[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-09-05。"],[],[],null,["| Premium and Enterprise [service tiers](/security-command-center/docs/service-tiers)\n\nThis document describes a threat finding type in Security Command Center. Threat findings are generated by\n[threat detectors](/security-command-center/docs/concepts-security-sources#threats) when they detect\na potential threat in your cloud resources. For a full list of available threat findings, see [Threat findings index](/security-command-center/docs/threat-findings-index).\n\nOverview\n\nContainer Threat Detection observed a process that unexpectedly spawned a child shell\nprocess. This event might indicate that an attacker is trying to abuse shell\ncommands and scripts.\n\nHow to respond\n\nTo respond to this finding, do the following:\n\nStep 1: Review finding details\n\n1. Open an `Unexpected Child Shell` finding as directed in\n [Reviewing findings](/security-command-center/docs/how-to-investigate-threats#reviewing_findings). The details panel for the\n finding opens to the **Summary** tab.\n\n2. On the **Summary** tab, review the information in the following sections:\n\n - **What was detected** , especially the following fields:\n - **Parent process**: the process that unexpectedly created the child shell process.\n - **Child process**: the child shell process.\n - **Arguments**: the arguments provided to the child shell process binary.\n - **Environment variables**: the environment variables of the child shell process binary.\n - **Containers**: the name of the container.\n - **Containers URI**: the image URI of the container.\n - **Kubernetes pods**: the Pod name and namespace.\n - **Affected resource** , especially the following fields:\n - **Resource display name**: the name of the affected resource.\n - **Resource full name** : the [full resource name](/apis/design/resource_names) of the cluster. The full resource name includes the following information:\n - The project that contains the cluster: `projects/`\u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e\n - The location in which the cluster is located: either `zone/`\u003cvar translate=\"no\"\u003eZONE\u003c/var\u003e or `locations/`\u003cvar translate=\"no\"\u003eLOCATION\u003c/var\u003e\n - The name of the cluster: `projects/`\u003cvar translate=\"no\"\u003eCLUSTER_NAME\u003c/var\u003e\n - **Related links** , especially the following fields:\n - **VirusTotal indicator**: link to the VirusTotal analysis page.\n3. Click the **JSON** tab and note the following fields:\n\n+`processes`: an array containing all processes related to the finding. This array includes the child shell process and the parent process.\n+`resource`:\n+`project_display_name`: The name of the project that contains the assets.\n+`sourceProperties`:\n+`VM_Instance_Name`: the name of the GKE node where the\nPod executed.\n\nStep 2: Review cluster and node\n\n1. In the Google Cloud console, go to the **Kubernetes clusters** page.\n\n [Go to Kubernetes clusters](https://console.cloud.google.com/kubernetes/list)\n2. On the Google Cloud console toolbar, select the project listed in\n `resource.project_display_name`, if necessary.\n\n3. Select the cluster listed in `resource.name`. Note any metadata about\n the cluster and its owner.\n\n4. Click the **Nodes** tab. Select the node listed in `VM_Instance_Name`.\n\n5. Click the **Details** tab and note the\n `container.googleapis.com/instance_id` annotation.\n\nStep 3: Review Pod\n\n1. In the Google Cloud console, go to the **Kubernetes Workloads** page.\n\n [Go to Kubernetes Workloads](https://console.cloud.google.com/kubernetes/workload)\n2. On the Google Cloud console toolbar, select the project that you noted\n in the **Resource full name** (`resource.name`) of the cluster in the\n finding summary, if necessary.\n\n3. Click **Show system workloads**.\n\n4. Filter the list of workloads by the cluster name that you noted in\n **Resource full name** (`resource.name`) of the finding summary and, if\n necessary, the pod **Namespace** (`kubernetes.pods.ns`) that you noted.\n\n5. Click the workload name that matches the value of the `VM_Instance_Name`\n property that you noted in the finding JSON earlier. The **Pod details**\n page opens.\n\n6. On the **Pod details** page, note any information about the Pod that\n might help you resolve the threat.\n\nStep 4: Check logs\n\n1. In the Google Cloud console, go to **Logs Explorer**.\n\n [Go to Logs Explorer](https://console.cloud.google.com/logs/query)\n2. On the Google Cloud console toolbar, select the project listed in\n `resource.project_display_name`.\n\n3. Set **Select time range** to the period of interest.\n\n4. On the page that loads, do the following:\n\n 1. Find Pod logs for `Pod_Name` by using the following filter:\n - `resource.type=\"k8s_container\"`\n - `resource.labels.project_id=\"`\u003cvar class=\"edit\" translate=\"no\"\u003eresource.project_display_name\u003c/var\u003e`\"`\n - `resource.labels.location=\"`\u003cvar class=\"edit\" translate=\"no\"\u003elocation\u003c/var\u003e`\"`\n - `resource.labels.cluster_name=\"`\u003cvar class=\"edit\" translate=\"no\"\u003ecluster_name\u003c/var\u003e`\"`\n - `resource.labels.namespace_name=\"`\u003cvar class=\"edit\" translate=\"no\"\u003ePod_Namespace\u003c/var\u003e`\"`\n - `resource.labels.pod_name=\"`\u003cvar class=\"edit\" translate=\"no\"\u003ePod_Name\u003c/var\u003e`\"`\n 2. Find cluster audit logs by using the following filter:\n - `logName=\"projects/`\u003cvar class=\"edit\" translate=\"no\"\u003eresource.project_display_name\u003c/var\u003e`/logs/cloudaudit.googleapis.com%2Factivity\"`\n - `resource.type=\"k8s_cluster\"`\n - `resource.labels.project_id=\"`\u003cvar class=\"edit\" translate=\"no\"\u003eresource.project_display_name\u003c/var\u003e`\"`\n - `resource.labels.location=\"`\u003cvar class=\"edit\" translate=\"no\"\u003elocation\u003c/var\u003e`\"`\n - `resource.labels.cluster_name=\"`\u003cvar class=\"edit\" translate=\"no\"\u003ecluster_name\u003c/var\u003e`\"`\n - \u003cvar class=\"edit\" translate=\"no\"\u003ePod_Name\u003c/var\u003e\n 3. Find GKE node console logs by using the following filter:\n - `resource.type=\"gce_instance\"`\n - `resource.labels.instance_id=\"`\u003cvar class=\"edit\" translate=\"no\"\u003einstance_id\u003c/var\u003e`\"`\n\nStep 5: Investigate the running container\n\nIf the container is still running, it might be possible to investigate the\ncontainer environment directly.\n\n1. Go to the Google Cloud console.\n\n [Open Google Cloud console](https://console.cloud.google.com/)\n2. On the Google Cloud console toolbar, select the project listed in\n `resource.project_display_name`.\n\n3. Click **Activate Cloud Shell** .\n\n4. Obtain GKE credentials for your cluster by running the\n following commands.\n\n For zonal clusters, run the following: \n\n gcloud container clusters get-credentials \u003cvar class=\"edit\" translate=\"no\"\u003ecluster_name\u003c/var\u003e --zone \u003cvar class=\"edit\" translate=\"no\"\u003elocation\u003c/var\u003e --project \u003cvar class=\"edit\" translate=\"no\"\u003eresource.project_display_name\u003c/var\u003e\n\n For regional clusters, run the following: \n\n gcloud container clusters get-credentials \u003cvar class=\"edit\" translate=\"no\"\u003ecluster_name\u003c/var\u003e --region \u003cvar class=\"edit\" translate=\"no\"\u003elocation\u003c/var\u003e --project \u003cvar class=\"edit\" translate=\"no\"\u003eresource.project_display_name\u003c/var\u003e\n\n5. To launch a shell within the container environment, run the following:\n\n kubectl exec --namespace=\u003cvar class=\"edit\" translate=\"no\"\u003ePod_Namespace\u003c/var\u003e -ti \u003cvar class=\"edit\" translate=\"no\"\u003ePod_Name\u003c/var\u003e -c \u003cvar class=\"edit\" translate=\"no\"\u003eContainer_Name\u003c/var\u003e -- /bin/sh\n\n This command requires the container to have a shell installed at `/bin/sh`.\n\n To view all processes running in the container, run the following command\n in the container shell: \n\n ps axjf\n\n This command requires the container to have `/bin/ps` installed.\n\nStep 6: Research attack and response methods\n\n1. Review MITRE ATT\\&CK framework entries for this finding type: [Command and Scripting Interpreter: Unix Shell](https://attack.mitre.org/techniques/T1059/004/).\n2. Check the SHA-256 hash value for the binary flagged as malicious on [VirusTotal](https://www.virustotal.com) by clicking the link in **VirusTotal indicator**. VirusTotal is an Alphabet-owned service that provides context on potentially malicious files, URLs, domains, and IP addresses.\n3. To develop a response plan, combine your investigation results with the MITRE research and VirusTotal analysis.\n\nStep 7: Implement your response\n\n\nThe following response plan might be appropriate for this finding, but might also impact operations.\nCarefully evaluate the information you gather in your investigation to determine the best way to\nresolve findings.\n\n- Contact the owner of the project with the compromised container.\n- Stop or [delete](/container-registry/docs/managing#deleting_images) the compromised container and replace it with a [new container](/compute/docs/containers).\n\nWhat's next\n\n- Learn [how to work with threat\n findings in Security Command Center](/security-command-center/docs/how-to-investigate-threats).\n- Refer to the [Threat findings index](/security-command-center/docs/threat-findings-index).\n- Learn how to [review a\n finding](/security-command-center/docs/how-to-investigate-threats#reviewing_findings) through the Google Cloud console.\n- Learn about the [services that\n generate threat findings](/security-command-center/docs/concepts-security-sources#threats)."]]