Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
40,061 detections
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Detects a suspected infostealer activity chain involving the unauthorized access of credential and session cookie files, followed by the archival of these files into a temporary or staging directory, and concluding with an outbound network connection to an uncommon destination from the archiving process.
Detects potential lateral movement by identifying users who have recently had a confirmed infostealer malware infection on a source host and subsequently initiate RDP or WinRM connections from a different host to internal network resources.
Detects the loading of specific commonly side-loaded DLLs (libcef.dll, version.dll, msimg32.dll) from user-writable directories such as Downloads, Temp, or AppData. Attackers often use these locations to drop malicious DLLs alongside legitimate applications to achieve DLL side-loading for persistence or defense evasion.
Detects unauthorized non-browser processes attempting to access Chrome browser master keys or bypass App-Bound Encryption by interacting with the Chrome IElevator service, DPAPI routines, or the 'Local State' configuration file. This behavior is indicative of infostealer activity aiming to decrypt browser-stored session cookies and credentials.
Detects interactive (Logon Type 10) or network (Logon Type 3) authentication to Windows hosts originating from external, non-RFC1918 IP addresses using 'Negotiate' authentication. This pattern is indicative of potential lateral movement from a cloud-connected environment into on-premises infrastructure, specifically where an adversary might be leveraging stolen session artifacts or credentials to bypass standard Kerberos-based domain authentication.
Detects activity indicative of the 'ClickFix' social engineering technique, where users are tricked into manually executing obfuscated commands (often from fake CAPTCHA or error prompts) via the Windows Run dialog or command-line interfaces. The rule correlates suspicious process execution (e.g., mshta, powershell, certutil, curl) originating from explorer.exe with the detection of common encoded/obfuscated command line patterns, or interactions with the Windows RunMRU registry key, which logs commands typed into the Run dialog.
Detects a hybrid identity attack sequence where an anomalous or high-risk cloud sign-in (e.g., AD FS, Azure AD Connect) is followed within 24 hours by suspicious on-premise Active Directory activity, specifically DCSync replication requests or Kerberoasting (high volume of TGS requests). This pattern is indicative of an attacker leveraging stolen cloud session tokens to pivot into on-premise infrastructure.
Detects the GitHub Actions runner executing the Bun runtime to run a hidden index.js payload, specifically associated with the compromised 'actions-cool/issues-helper' or 'actions-cool/maintain-one-comment' actions. The rule filters for process execution context tied to GitHub runner internals and validates that the Bun execution follows the pattern observed in these supply chain attacks.
Detects the creation of specific decoy scheduled tasks ('Internet Quality Test Connection', 'Network Configuration Manager', 'System Health Monitor') identified as part of the Star Blizzard actor's CosmicPulse delivery mechanism. The rule monitors for the creation of these tasks via schtasks.exe or system events, specifically when the task configuration references execution via rundll32.exe, regsvr32.exe, control.exe, or remote/UNC-based payloads.
Detects the startup or configuration of the WebClient service, commonly associated with WebDAV redirection, followed within 15 minutes by a process (e.g., control.exe, rundll32.exe, svchost.exe) interacting with a WebDAV-style UNC path. This behavioral pattern is indicative of attackers, such as the Star Blizzard group, abusing built-in Windows functionality to facilitate credential theft or remote file execution via malicious WebDAV shares.
Detects the execution of a Control Panel (.cpl) item using control.exe or rundll32.exe. The rule specifically looks for CPL files that were recently written to suspicious directories (Temp, AppData, Downloads) and correlates this execution with subsequent suspicious behaviors, such as spawning Python processes, outbound network connections, or registry modifications consistent with key storage or payload persistence.
This rule detects unauthorized process creation from the SharePoint worker process (w3wp.exe). It specifically monitors for the spawning of command-line shells or scripting engines, which is indicative of exploitation activity such as remote code execution (RCE) attempts against SharePoint services, including deserialization attacks.
Detects the LEMURLOOT ASP.NET web shell deployed by Cl0p following exploitation of CVE-2023-34362 in MOVEit Transfer
Detects coordinated activity characteristic of NotPetya-like lateral movement. It identifies a local account authenticating across multiple hosts (credential reuse), followed by the creation of a transient Windows service (typically for remote command execution) and the invocation of rundll32.exe to execute a DLL export by ordinal on the same device.
This rule detects potential unauthorized access to Azure Key Vault secrets by correlating AI agent process execution on an endpoint with subsequent Key Vault API activity by the same user account. It tracks common AI coding/assistant tools running locally on a device and triggers an alert if the same identity accesses cloud-plane Key Vault operations within 5 minutes. Additionally, it identifies anomalous bulk secret enumeration patterns in Key Vault audit logs to detect potential automated exfiltration.
Detects the first-ever observed network connection from a device to WhatsApp Web or Telegram Web within a 30-day lookback period. This behavior is used to identify potentially unauthorized companion-device linking to a user's messenger account, which could indicate credential theft or unauthorized access.
This rule monitors for network connections to known malicious domains and IP addresses, as well as the presence or execution of files with specific SHA256 hashes known to be associated with threat activity. The indicators focus on Vercel-hosted domains and specific file hashes linked to recent campaign activity.
Detects network activity associated with the 'ClickFix' social engineering campaign, which commonly targets users with fake error messages to trick them into executing malicious commands. The rule identifies communication with known malicious infrastructure (domains and IP addresses) found in CommonSecurityLog events, while implementing filters to exclude common security scanners and deduplicating per-host alerts.
Detects network activity associated with the 'ClickFix' social engineering campaign, which commonly targets users with fake error messages to trick them into executing malicious commands. The rule identifies communication with known malicious infrastructure (domains and IP addresses) found in CommonSecurityLog events, while implementing filters to exclude common security scanners and deduplicating per-host alerts.
Detects network activity associated with the 'ClickFix' social engineering campaign, which commonly targets users with fake error messages to trick them into executing malicious commands. The rule identifies communication with known malicious infrastructure (domains and IP addresses) found in CommonSecurityLog events, while implementing filters to exclude common security scanners and deduplicating per-host alerts.
Detects anomalous execution of the Microsoft Support Diagnostic Tool (msdt.exe) or its host process (sdiagnhost.exe) when spawned by Microsoft Office applications or when invoked with specific command-line arguments indicative of the CVE-2022-30190 (Follina) exploit.
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