Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects a service principal or user account performing a burst of 'ListKeys' operations across multiple Azure Storage accounts. This behavior is indicative of an attacker attempting to dump access keys for multiple storage accounts after initial compromise or privilege escalation to gain further access to sensitive cloud data.
Detects attempts to delete Azure resource locks protecting Site Recovery or Backup services, followed by credential retrieval (ListKeys) within a one-hour window. This sequence pattern is a strong indicator of an adversary attempting to disable backup protection before potentially destroying data or exfiltrating keys.
Detects attempts to delete Azure resource locks protecting Site Recovery or Backup services, followed by credential retrieval (ListKeys) within a one-hour window. This sequence pattern is a strong indicator of an adversary attempting to disable backup protection before potentially destroying data or exfiltrating keys.
Detects attempts to delete Azure resource locks protecting Site Recovery or Backup services, followed by credential retrieval (ListKeys) within a one-hour window. This sequence pattern is a strong indicator of an adversary attempting to disable backup protection before potentially destroying data or exfiltrating keys.
This rule detects the creation of specific system mutexes commonly used by malware for persistence or to avoid multiple infections (Mutual Exclusion). It monitors for both a specific hardcoded mutex and a pattern-based approach (15-20 alphanumeric characters) initiated by executables from common temporary or user-writable directories, which is a frequent indicator of malicious secondary payloads or droppers.
Detects a precursor pattern identified as JADEPUFFER, where a failed 'ListKeys' operation (indicating an attempt to discover or access keys for a non-existent storage account) is immediately followed by a burst of destructive delete operations on critical cloud resources (e.g., storage, databases, key vaults) by the same actor.
Detects a precursor pattern identified as JADEPUFFER, where a failed 'ListKeys' operation (indicating an attempt to discover or access keys for a non-existent storage account) is immediately followed by a burst of destructive delete operations on critical cloud resources (e.g., storage, databases, key vaults) by the same actor.
Detects a precursor pattern identified as JADEPUFFER, where a failed 'ListKeys' operation (indicating an attempt to discover or access keys for a non-existent storage account) is immediately followed by a burst of destructive delete operations on critical cloud resources (e.g., storage, databases, key vaults) by the same actor.
Detects anomalous service principal activity characterized by multiple, rapidly issued, and overlapping OAuth tokens within a short time window. This pattern is associated with automated/agentic token orchestration (e.g., JADEPUFFER/Storm-3168 campaign) rather than standard manual operator activity, specifically when leveraging the python-requests user agent.
Detects anomalous service principal activity characterized by multiple, rapidly issued, and overlapping OAuth tokens within a short time window. This pattern is associated with automated/agentic token orchestration (e.g., JADEPUFFER/Storm-3168 campaign) rather than standard manual operator activity, specifically when leveraging the python-requests user agent.
Detects anomalous service principal activity characterized by multiple, rapidly issued, and overlapping OAuth tokens within a short time window. This pattern is associated with automated/agentic token orchestration (e.g., JADEPUFFER/Storm-3168 campaign) rather than standard manual operator activity, specifically when leveraging the python-requests user agent.
Detects high-risk IAM policy modifications, specifically the attachment or creation of policies that grant wildcard permissions or full administrator access. The rule optionally correlates these permission changes with the recent creation of access keys or service account credentials for the same principal, indicating potential preparation for persistence or unauthorized access escalation.
Detects two distinct methods of living-off-the-land proxy execution: first, MSBuild.exe spawning network connections after executing inline tasks defined in XML project files; second, Regsvr32.exe performing 'Squiblydoo' execution by loading COM scriptlets from remote URLs.
Detects suspicious PowerShell execution patterns involving encoded commands, hidden window styles, or common download cradles combined with code obfuscation techniques. This rule monitors PowerShell ScriptBlock Logging (Event ID 4104) for combinations of indicators often used by threat actors to evade detection, such as Base64-encoded strings, hidden execution flags, network download utilities, and script obfuscation techniques.
This rule detects the creation of named pipes with names that match default or commonly customized patterns used by Cobalt Strike Beacons for inter-process communication (IPC) and lateral movement. The detection specifically targets common pipe naming conventions such as those starting with 'msagent_', 'MSSE-', 'postex_', 'status_', and 'mypipe-', which are frequently observed in Cobalt Strike configurations.
Detects PowerShell processes using the .NET System.IO.File methods (SetLastWriteTime, SetCreationTime, SetLastAccessTime) to modify file timestamps, a common anti-forensic technique to obfuscate file creation or modification times.
Detects PowerShell processes using the .NET System.IO.File methods (SetLastWriteTime, SetCreationTime, SetLastAccessTime) to modify file timestamps, a common anti-forensic technique to obfuscate file creation or modification times.
Detects rapid mass-cloning or downloading of private GitHub repositories shortly after an OAuth token authorization, originating from IP addresses or countries not previously associated with the user account. This behavior is indicative of unauthorized bulk data extraction using compromised credentials, consistent with threat actor activity (e.g., TeamPCP/UNC6780).
Detects PowerShell processes using the .NET System.IO.File methods (SetLastWriteTime, SetCreationTime, SetLastAccessTime) to modify file timestamps, a common anti-forensic technique to obfuscate file creation or modification times.
Detects high-risk AWS IAM privilege escalation activities, such as attaching AdministratorAccess policies, creating new access keys, roles, or users, occurring shortly after a suspicious sign-in event (e.g., impossible travel or new device login with MFA) for the same principal.
Detects the execution of PowerShell or Windows Script Host (wscript/cscript) spawned by explorer.exe that utilize hidden window styles and target suspicious filenames or external paths, often indicative of a dropper or malicious script stage.
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