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Original file line number Diff line number Diff line change
Expand Up @@ -2,16 +2,16 @@
creation_date = "2023/10/16"
integration = ["problemchild", "endpoint", "windows"]
maturity = "production"
updated_date = "2025/01/15"
updated_date = "2025/03/19"
min_stack_version = "8.14.0"
min_stack_comments = "Breaking change at 8.14.0 for the Windows Integration."

[rule]
anomaly_threshold = 75
author = ["Elastic"]
description = """
A machine learning job combination has detected a set of one or more suspicious Windows processes with unusually high
scores for malicious probability. These process(es) have been classified as malicious in several ways. The process(es)
A machine learning job combination has identified a host with one or more suspicious Windows processes that exhibit
unusually high malicious probability scores.These process(es) have been classified as malicious in several ways. The process(es)
were predicted to be malicious by the ProblemChild supervised ML model. If the anomaly contains a cluster of suspicious
processes, each process has the same host name, and the aggregate score of the event cluster was calculated to be
unusually high by an unsupervised ML model. Such a cluster often contains suspicious or malicious activity, possibly
Expand All @@ -21,7 +21,7 @@ from = "now-45m"
interval = "15m"
license = "Elastic License v2"
machine_learning_job_id = "problem_child_high_sum_by_host"
name = "Suspicious Windows Process Cluster Spawned by a Host"
name = "Host Detected with Suspicious Windows Process(es)"
references = [
"https://www.elastic.co/guide/en/security/current/prebuilt-ml-jobs.html",
"https://docs.elastic.co/en/integrations/problemchild",
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -2,16 +2,16 @@
creation_date = "2023/10/16"
integration = ["problemchild", "endpoint", "windows"]
maturity = "production"
updated_date = "2025/01/15"
updated_date = "2025/03/19"
min_stack_version = "8.14.0"
min_stack_comments = "Breaking change at 8.14.0 for the Windows Integration."

[rule]
anomaly_threshold = 75
author = ["Elastic"]
description = """
A machine learning job combination has detected a set of one or more suspicious Windows processes with unusually high
scores for malicious probability. These process(es) have been classified as malicious in several ways. The process(es)
A machine learning job combination has identified a parent process with one or more suspicious Windows processes that exhibit
unusually high malicious probability scores. These process(es) have been classified as malicious in several ways. The process(es)
were predicted to be malicious by the ProblemChild supervised ML model. If the anomaly contains a cluster of suspicious
processes, each process has the same parent process name, and the aggregate score of the event cluster was calculated to
be unusually high by an unsupervised ML model. Such a cluster often contains suspicious or malicious activity, possibly
Expand All @@ -21,7 +21,7 @@ from = "now-45m"
interval = "15m"
license = "Elastic License v2"
machine_learning_job_id = "problem_child_high_sum_by_parent"
name = "Suspicious Windows Process Cluster Spawned by a Parent Process"
name = "Parent Process Detected with Suspicious Windows Process(es)"
references = [
"https://www.elastic.co/guide/en/security/current/prebuilt-ml-jobs.html",
"https://docs.elastic.co/en/integrations/problemchild",
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -2,16 +2,16 @@
creation_date = "2023/10/16"
integration = ["problemchild", "endpoint", "windows"]
maturity = "production"
updated_date = "2025/01/15"
updated_date = "2025/03/19"
min_stack_version = "8.14.0"
min_stack_comments = "Breaking change at 8.14.0 for the Windows Integration."

[rule]
anomaly_threshold = 75
author = ["Elastic"]
description = """
A machine learning job combination has detected a set of one or more suspicious Windows processes with unusually high
scores for malicious probability. These process(es) have been classified as malicious in several ways. The process(es)
A machine learning job combination has identified a user with one or more suspicious Windows processes that exhibit
unusually high malicious probability scores. These process(es) have been classified as malicious in several ways. The process(es)
were predicted to be malicious by the ProblemChild supervised ML model. If the anomaly contains a cluster of suspicious
processes, each process has the same user name, and the aggregate score of the event cluster was calculated to be
unusually high by an unsupervised ML model. Such a cluster often contains suspicious or malicious activity, possibly
Expand All @@ -21,7 +21,7 @@ from = "now-45m"
interval = "15m"
license = "Elastic License v2"
machine_learning_job_id = "problem_child_high_sum_by_user"
name = "Suspicious Windows Process Cluster Spawned by a User"
name = "User Detected with Suspicious Windows Process(es)"
references = [
"https://www.elastic.co/guide/en/security/current/prebuilt-ml-jobs.html",
"https://docs.elastic.co/en/integrations/problemchild",
Expand Down