* [Rule Tuning] AWS S3 Bucket Enumeration or Brute Force
- changed to threshold rule to improve context
- groups alerts by unique combination of `tls.client.server_name`(bucket name), `source.address` (can be either an ip or an internal AWS service address like ), and `aws.cloudtrail.user_identity.type` (this is to prevent capturing double events produced when a user Assumes a role inside another AWS account. This results in the same request being created twice, once as both AssumedRole and AWSAccount identity types)
- uses `event.id` as the cardinality field and counts >= 40
- checks that`tls.client.server_name` exists in the query, this is to prevent capturing denied internal AWS actions that may occur against no particular bucket but against the S3 service itself
- adds highlighted fields
- replaces mitre technique
- replaces more detailed investigation guide including specific details around investigating Threshold rule types via timeline
* kuery language update
* removing extra space
* adding integration
* removing filebeat because of tls.client.server_name
removing filebeat because of tls.client.server_name
* update IG references
updated the references listed in the IG
---------
Co-authored-by: Terrance DeJesus <99630311+terrancedejesus@users.noreply.github.com>
- changed rule from esql to new_terms. While details are limited in telemetry, the noise is evident. We've also gotten complaints about the noise from our own infosec team, prompting this tuning. Changes to a new terms rule will reduce noise by over 90% when tested against prod data.
- This originally only triggered for role chaining within a single AWS account, so excluded common cross-account role assumption. However, I am unable to apply a filter for that with KQL but the benefits to creating new-terms rule outweigh the benefits of keeping that exclusion with esql.
- looks for unique combination of `aws.cloudtrail.user_identity.session_context.session_issuer.arn` (originating role) and `aws.cloudtrail.resources.arn`(target role). Because the only identity type we are concerned with here are `AssumedRole` types, we don't have the same new_terms field limitations as with other rules that also must consider `IAMUser` types. So these fields will suffice.
- added highlighted fields
- added index pattern. rule is compatible with filebeat
- updated the investigation guide and description and description
Note: I may consider creating a broader BBR rule, with the same criteria just not new terms, as a way of capturing all instances of role chaining for investigative purposes
Co-authored-by: Terrance DeJesus <99630311+terrancedejesus@users.noreply.github.com>
* [Rule Tuning] Potential AWS S3 Bucket Ransomware Note Uploaded
- changed this from ESQL to EQL. While initially were only able to isolate uploaded file names using the `aws.cloudtrail.request_parameters` field, we now can use the target.entity.id field to isolate the uploaded file arn. I've adjusted the regex pattern to distinguish between the bucket name and the file uploaded, both of which are included in the target.entity.id field.
- I chose eql instead of esql to 1. provide more meaningful alert context to the user and 2. allow for easier exclusions for the user. Right now these alerts aren't generating much meaningful context.
- edits to description
- new investigation guide using specific AWS IR Ransomware Playbooks as additional context
- additional MITRE technique
* added highlighted fields
added highlighted fields
* fixed MITRE reference
* added cloudtrail index mapping
* Update rules/integrations/aws/impact_s3_bucket_object_uploaded_with_ransom_extension.toml
Co-authored-by: Jonhnathan <26856693+w0rk3r@users.noreply.github.com>
* using aws.cloudtrail.resources.arn instead of target.entity.id
using aws.cloudtrail.resources.arn instead of target.entity.id
* Apply suggestions from code review
---------
Co-authored-by: Jonhnathan <26856693+w0rk3r@users.noreply.github.com>
Co-authored-by: shashank-elastic <91139415+shashank-elastic@users.noreply.github.com>
* [New Rule] Azure RBAC Built-In Administrator Roles Assigned
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# Pull Request
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* https://github.com/elastic/detection-rules/issues/5108
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## Summary - What I changed
Adds a new rule for detecting `Azure RBAC Built-In Administrator Roles Assigned` from Azure Activity Logs. Please se issue for more details.
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- [ ] Added a label for the type of pr: `bug`, `enhancement`, `schema`, `maintenance`, `Rule: New`, `Rule: Deprecation`, `Rule: Tuning`, `Hunt: New`, or `Hunt: Tuning` so guidelines can be generated
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* fixed query logic
* fixed query logc
* fixed query logic
* adding field to non-ecs
* updated UUID
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# Pull Request
*Issue link(s)*:
* https://github.com/elastic/detection-rules/issues/5138
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## Summary - What I changed
Adds a missing detection for Azure storage account updates that enabled Blob Storage public access. **Please see the related issue for more details.**
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## Contributor checklist
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# Pull Request
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* https://github.com/elastic/detection-rules/issues/5183
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## Summary - What I changed
Tunes the `Azure Entra ID Rare App ID for Principal Authentication` rule to ignore specific first-party client IDs that generate FPs regarding this rule.
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## How To Test
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- [ ] Added a label for the type of pr: `bug`, `enhancement`, `schema`, `maintenance`, `Rule: New`, `Rule: Deprecation`, `Rule: Tuning`, `Hunt: New`, or `Hunt: Tuning` so guidelines can be generated
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## Contributor checklist
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* [Tuning] Startup or Run Key Registry Modification
high percentage of the FPs are for programfiles and localappdata files in the registry data string value. This tuning should drop FPs/volume significantly.
* Update rules/windows/persistence_run_key_and_startup_broad.toml
---------
Co-authored-by: Jonhnathan <26856693+w0rk3r@users.noreply.github.com>
* [Rule Tuning] Update Azure / M365 Index Patterns and Lookback Windows
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# Pull Request
*Issue link(s)*:
* https://github.com/elastic/detection-rules/issues/5154
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## Summary - What I changed
Adjusts Azure / M365 rules regarding lookback windows, interval and index scopes. Please see related issue for more details.
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- [ ] Added a label for the type of pr: `bug`, `enhancement`, `schema`, `maintenance`, `Rule: New`, `Rule: Deprecation`, `Rule: Tuning`, `Hunt: New`, or `Hunt: Tuning` so guidelines can be generated
- [ ] Added the `meta:rapid-merge` label if planning to merge within 24 hours
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## Contributor checklist
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* fixing timestamps
* Update rules/integrations/azure/initial_access_entra_illicit_consent_grant_via_registered_application.toml
Co-authored-by: Isai <59296946+imays11@users.noreply.github.com>
* Update rules/integrations/azure/credential_access_azure_key_vault_excessive_retrieval.toml
Co-authored-by: Jonhnathan <26856693+w0rk3r@users.noreply.github.com>
* update dates
* Update rules/integrations/o365/initial_access_microsoft_365_illicit_consent_grant_via_registered_application.toml
* Update rules/integrations/o365/initial_access_microsoft_365_illicit_consent_grant_via_registered_application.toml
---------
Co-authored-by: Isai <59296946+imays11@users.noreply.github.com>
Co-authored-by: Jonhnathan <26856693+w0rk3r@users.noreply.github.com>
* [Rule Tuning] Update Azure / M365 Mappings
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# Pull Request
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* https://github.com/elastic/detection-rules/issues/5152
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## Summary - What I changed
Updates all mappings for Azure / M365 rules for accuracy and missing mappings.
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- [ ] Added a label for the type of pr: `bug`, `enhancement`, `schema`, `maintenance`, `Rule: New`, `Rule: Deprecation`, `Rule: Tuning`, `Hunt: New`, or `Hunt: Tuning` so guidelines can be generated
- [ ] Added the `meta:rapid-merge` label if planning to merge within 24 hours
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## Contributor checklist
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* reverting changes to unit test
* changed webhook rule back to persistence
* Update rules/integrations/azure/persistence_azure_automation_webhook_created.toml
* updated date
* updating date
---------
Co-authored-by: Jonhnathan <26856693+w0rk3r@users.noreply.github.com>
* updating Azure AD Global Administrator Role Assigned
* removed logic changes as it only effects outside of PIM. Adding a different rule for these
* slight change to query
* tuning severity
* Update rules/integrations/azure/persistence_azure_global_administrator_role_assigned.toml
Co-authored-by: Mika Ayenson, PhD <Mikaayenson@users.noreply.github.com>
* Update rules/integrations/azure/persistence_azure_global_administrator_role_assigned.toml
* Update rules/integrations/azure/persistence_azure_global_administrator_role_assigned.toml
---------
Co-authored-by: Mika Ayenson, PhD <Mikaayenson@users.noreply.github.com>
* [Rule Tuning] Potential Port Scanning Activity from Compromised Host
* Update rules/linux/discovery_port_scanning_activity_from_compromised_host.toml
* Update port scanning detection query
Refine query to include source IP and limit destination port range.
* Update discovery_port_scanning_activity_from_compromised_host.toml
* Update query in discovery port scanning rule
* Update discovery_port_scanning_activity_from_compromised_host.toml
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# Pull Request
*Issue link(s)*:
* https://github.com/elastic/detection-rules/issues/5140
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## Summary - What I changed
Adds missing detection coverage for retrieving Azure Storage Account keys by a user with highly-privileged roles. Please see the related issue for more details.
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## How To Test
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## Contributor checklist
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* updating Azure AD Global Administrator Role Assigned
* removed logic changes as it only effects outside of PIM. Adding a different rule for these
* slight change to query
* tuning rule Microsoft Entra ID Elevated Access to User Access Administrator
* revert changes
* Added operation name to query logic
* [Rule Tuning] Windows High Severity - 2
* [Rule Tuning] Windows High Severity - 3
* Revert "[Rule Tuning] Windows High Severity - 3"
This reverts commit 32c8348072ab1629e2a164a3579d866b2682f234.
* [Tuning] AWS Access Token Used from Multiple Addresses
Tuning was triggered by a community member
- fixes wildcard and `Pulumi` typos to exclude common IaC tools
- adds exclusion for ``source.as.organization.name` == "AMAZON-02" and aws.cloudtrail.event_category == "Data"` to exclude the noisy multi-IP traffic coming from Amazon-02 networks performing high-throughput data-plane operations. I didn't exclude this network completely because this network can also indicate user-triggered events that are worth keeping in the alert.
- added additional high noise service providers that may be more indicative of console browsing
- added a field for pairing source.ip & network
- added highlighted fields
* Update rules/integrations/aws/initial_access_iam_session_token_used_from_multiple_addresses.toml
* Update rules/integrations/aws/initial_access_iam_session_token_used_from_multiple_addresses.toml
AWS SNS is a pub/sub style service where users can subscribe to a topic and receive messages published to that topic. Below is a screenshot of the different protocols a user could subscribe with and the various endpoints that could be associated with those protocols.
AWS SNS Email Subscription by Rare User --> AWS SNS Rare Protocol Subscription by User (not a new rule)
- changed the scope of the rule to capture the first time a user/role subscribes to a topic via a particular protocol (ie. email, http, lambda, mobile). Subscribing to an SNS topic via email is a rather normal behavior and it would be normal for each user to subscribe this way "for the first time" making this rule not as valuable as it was intended to be.
- reduced execution window
- added real-world threat references
- added additional MITRE technique and Impact tag
- small edits to IG and Description
- edited highlighted fields
AWS SNS Topic Message Publish by Rare User
- added AWS to name for consistency
-changed new terms fields to use a combination of cloud.account.id and user.name against the topic itself `aws.cloudtrail.resources.arn`. So that instead of simply evaluating the first time a user/role publishes a message to ANY topic, this rule now looks for the first time a user/role publishes a message to a particular topic. We want to make this distinction to capture the case where an identity responsible for publishing to a particular topic A suddenly starts publishing to another topic B, which indicates behavior that should be verified.
- reduced new terms window
- added setup notes as Data events are necessary for capturing the `Publish` API call
- reduced execution window
- added real-world threat references
- added additional MITRE technique and Impact tag
- small edits to IG and Description
- edited highlighted fields
AWS SNS Topic Created by Rare User
- removed the `AssumedRole` and `*-i*` parameters from the query as this narrowed the query to only alert on behavior from EC2 instance roles. We ideally want to evaluate this behavior for all users and roles.
- reduced execution window
- added real-world threat references
- added additional MITRE technique and Impact tag
- small edits to IG and Description
- edited highlighted fields
* [Rule Tuning] AWS S3 Unauthenticated Bucket Access by Rare Source
No query changes as this rule is alerting as expected, however I did change the new terms field to be a combination of an IP address and a particular bucket name. Rather than just alerting for the IP address itself. Perhaps an IP is seen retrieving a doc from a public bucket in the environment (expected behavior) but then it also accesses a file in a bucket meant to be private (unexpected behavior). With new terms only on the IP address we would miss the private bucket access.
- added `tls.client.server_name` to new terms field (bucket name)
- reduced execution window
- removed duplicate IG
- added setup note for turning on data events
- small edits to description and highlighted fields
* Update collection_s3_unauthenticated_bucket_access_by_rare_source.toml
* Update collection_s3_unauthenticated_bucket_access_by_rare_source.toml
* Update collection_s3_unauthenticated_bucket_access_by_rare_source.toml
* Update collection_s3_unauthenticated_bucket_access_by_rare_source.toml
* [Rule Tunings] AWS DynamoDB new terms Rules
### AWS DynamoDB Scan by Unusual User
- changed new terms field to use cloud.account.id and user.name combination to account for roles and users
- reduced execution window
- reduced history window
- small edits to description, IG and highlighted fields
### AWS DynamoDB Table Exported to S3
- removed inaccurate setup notes
- reduced history window
- small edits to description and highlighted fields
* Apply suggestions from code review
This rule is performing as expected and low noise in telemetry so no changes to query
- added investigation fields
- small edits to description and IG
- added a reference from Unit42 showing real world threat case
- reduced execution window
* [Rule Tuning] SSM Session Started to EC2 Instance
Role/role session noise seen in telemetry due to new fields term using `aws.cloudtrail.user_identity.arn`, which is unique for each role session and does not isolate the role itself.
- new fields term change to `cloud.account.id` and `user.name` combination to account for both IAMUsers and Roles across multiple accounts.
- added AWS to the rule name
- reduced execution window
- small edits to description and IG
- added reference from IG to Reference section
* adding highlighted fields
* added EC2 tag
* Update lateral_movement_aws_ssm_start_session_to_ec2_instance.toml
* Apply suggestions from code review
* [Rule Tunings] AWS Route Table Created / AWS EC2 Route Table Modified or Deleted
AWS Route Table Created
- turned this into a new_terms rule to reduce noise and be more indicative of potential malicious behavior. Used `cloud.account.id`, `user.name` combination to account for both roles and users doing this behavior for the first time.
- changed execution interval
- changed the name to add EC2
- slight adjustments to IG and description
- fixed tagging error
- added investigation fields
AWS EC2 Route Table Modified or Deleted
- replaced new terms field to `cloud.account.id`, `user.name` combination to account for both roles and users doing this behavior for the first time.
- removed the exclusions from this rule. These exclusions, while meant to reduce noise caused by automation tools, actually just provide an easy bypass. A user can simply use CloudFormation to perform the exact same behaviors and avoid detection. I've shown this in the screenshot below, I ran a nearly identical script, one with and one without using CloudFormation. While `source.address` is `cloudformation.amazonaws.com` the behavior was still performed by an IAMUser and should still be evaluated. The fact that this is a new terms rule will reduce the risk of noise due to automation using these tools.
- changed execution interval
- slight adjustments to IG and description
- added investigation fields
* Update persistence_route_table_created.toml
* Update rules/integrations/aws/persistence_ec2_route_table_modified_or_deleted.toml
- query change : I chose to replace `aws.cloudtrail.user_identity.arn` with `user.id` and a more accurate wildcard pattern. This will reduce the chances of this rule triggering for role sessions outside of those started by EC2 instances. The wildcard pattern looks for a role session name that starts with `i-` this is because when an EC2 instance operates using it's attached Role (instance profile), the session name attached to that role name is the instance id (`i-......`). The `user.id` field appends this session name to the role name via a standard pattern `:[session_name]`, making it a more reliable field to use in this case.
- small edits to description and IG
- reduced execution window
- reduced history window
- edited highlighted fields
Note: the new_terms field here remains `aws.cloudtrail.user_identity.arn` because we are only interested in assumed roles, and even more particular, only those used by an EC2 instance. This means we want to evaluate each individual instance's behavior rather than the broader behavior of the role itself. The arn field will capture each instance id (session name) alongside the role itself.
shashank-elastic