Data Destruction: Lifecycle-Triggered Deletion T1485.001

Tactic: Impact

Adversaries may modify the lifecycle policies of a cloud storage bucket to destroy all objects stored within.

Authoring guide

Patterns shared across the 4 rules above: which fields they filter on, what specific values they look for, and what they exclude. The catalog normalizes field names across vendors so Sigma's Image, Elastic's process.name, and Splunk's process_name collapse into one row. Each rule contributes at most once per row.

Fields filtered most (10 distinct)

The fields most rules look at when detecting this technique. The How column shows the operators authors use (eq, wildcard, regex_match, match) and how often each appears. Sample values are concrete examples to start from, not an exhaustive list.

FieldRulesHowSample values
EventType2eq 1, in 1DisableKey, PutBucketLifecycle, ScheduleKeyDeletion
aws::eventName2eq 2PutBucketLifecycle
data_stream.dataset2eq 2aws.cloudtrail
event.outcome2eq 2success
sourcetype2eq 2aws:asl, aws:cloudtrail
NoncurrentDays1lt 13
Provider_Name1eq 1kms.amazonaws.com
aws::errorCode1eq 1success
aws::requestParameters1contains 1expiration=
user_type1eq 1IAMUser

Top indicator values (13 distinct)

Specific (field, operator, value) combinations the rules check for, ranked by how many rules under this technique use each one. The Corpus reach column counts how many rules across the entire catalog (any technique) check the same combination. High numbers point to widely-used indicators that are likely noisy on their own; combine them with another condition for useful signal. Blank means the combination is specific to rules under this technique. Click a value to expand the rules under this technique that use it.

Rules under this technique

Every rule in the catalog tagged with this technique, grouped by vendor. Click a rule title for its full predicates, exclusions, and indicators.

Platform (all)
Domain (all)

Elastic 2 rules

Splunk 2 rules