Auditd Manager

Elastic's machine learning job, utilizing the ProblemChild supervised model and unsupervised techniques, detects Windows hosts exhibiting clusters of suspicious processes with unusually high malicious probability scores, often indicative of defense evasion through Living Off The Land Binaries (LOLbins) and masquerading techniques.

Elastic's Data Exfiltration Detection integration leverages machine learning to identify rare processes writing data to external devices, indicating potential data exfiltration by adversaries using benign-looking processes.

Elastic's machine learning job identifies potential data exfiltration activity to unusual geo-locations by detecting anomalies in network traffic patterns, indicating adversaries leveraging command and control channels to transfer data outside normal organizational patterns.

An Elastic machine learning rule detects unusual user logon times, which can indicate credential compromise or unauthorized access, particularly when attackers operate from different time zones or during non-business hours, prompting investigation into the affected user account and related activities.

Elastic has developed a detection rule that monitors non-allowlisted `wget` activity on Linux hosts using Auditd Manager or Auditbeat, leveraging an Elastic LLM to triage `wget` executions for potential ingress tool transfer, command and control, or data exfiltration attempts to untrusted destinations, generating alerts only for high-confidence positive or suspicious verdicts.

This rule detects Linux process executions that reference /etc/kubernetes/manifests in process arguments, which may indicate tampering with static pod manifests for persistence or privilege escalation in Kubernetes environments.

Detects suspicious chroot execution within a Linux container context, potentially indicating a container escape attempt by pivoting to an alternate root filesystem.

This rule identifies process execution events where the effective user is root while the real user is not, the process arguments include the privileged shell flag commonly associated with setuid-capable shells, and the executable path is outside standard system binary directories, indicating potential privilege escalation.

This rule detects potential exploitation of CVE-2026-31431, a Copy Fail vulnerability in the Linux kernel, via AF_ALG socket abuse, by correlating non-root AF_ALG-class socket or splice events with a subsequent process execution where the effective user is root but the login user remains non-root, indicating a privilege escalation attempt.

The rule detects a sequence of events indicating a potential privilege escalation attempt on Linux systems where a non-root user performs namespace activity using unshare, followed by the execution of a root process shortly after.

This rule detects the execution of curl or wget from within runc-backed containers on Linux systems monitored by Auditd Manager, indicating potential ingress tool transfer or data exfiltration by attackers who have compromised the container.

Detection of runc init child processes with root effective user and non-root login user ID, indicating potential container privilege escalation.

An unusual process connecting to a container runtime Unix socket like Docker or Containerd can indicate an attacker attempting to bypass Kubernetes security measures for container manipulation.