Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects Kubernetes RBAC Role or ClusterRole creation or update events that grant the 'create' verb on Config Connector (KCC) IAM custom resources (iampolicymembers, iampolicies, iampartialpolicies) by non-approved user identities. This could indicate an attempt to gain unauthorized control over cloud IAM policies through the Kubernetes API.
Detects Kubernetes RBAC Role or ClusterRole creation or update events that grant the 'create' verb on Config Connector (KCC) IAM custom resources (iampolicymembers, iampolicies, iampartialpolicies) by non-approved user identities. This could indicate an attempt to gain unauthorized control over cloud IAM policies through the Kubernetes API.
Detects a multi-stage infection chain involving communication with known malicious infrastructure ('mnoskemp.beer'), staging and extraction of password-protected archives using '7za.exe' in temporary directories, installation of a spoofed OBS Studio MSI package, and subsequent DLL side-loading of malicious libraries (e.g., 'obs.dll', 'WSql-2.dll') by the 'obs64.exe' process when initiated from outside legitimate installation paths.
Detects multiple AWS API calls (Publish, GetCallerIdentity, ListTopics) originating from a specific IP address (23.234.84.102) associated with a Zapier SNS sender. This rule monitors for potentially unauthorized or anomalous API usage patterns by identifying repeated, successful, and non-error events from a known source that may indicate misuse or compromise of an integration account.
Detects instances where a removed GitHub organization member performed bulk repository access (cloning or downloading) shortly before their removal, potentially indicating exploitation of retained access by a departed employee or an adversary using a valid account before deprovisioning. The rule identifies activity occurring more than 24 hours prior to removal involving multiple repositories or multiple access actions.
Detects the presence of known adversarial LLM jailbreak or prompt injection patterns embedded within source code comments. These patterns are designed to bypass safety filters or security controls of AI models when the source code is processed or analyzed by such systems.
Detects the presence of zero-width, non-printing, or bidirectional-override Unicode characters in command lines, commonly used for obfuscation or prompt injection.
Detects invisible/non-printing Unicode codepoints (zero-width chars, bidi overrides, variation selectors, Unicode tag characters, and Private Use Area icon-font codepoints) embedded in process command lines - covering both classic command/script obfuscation and the emerging use of hidden codepoints to smuggle AI prompt-injection payloads into content later processed by AI copilots/agents. Tightened to require 2+ high-confidence codepoint hits (or 1 from a known scripting host/LOLBin), and gates Private-Use-Area-only matches (a common legitimate icon-font false-positive source) to scripting hosts with 5+ hits, maps to T1027.018.
Detects downstream delivery of likely AI-paraphrased mass-produced lure content by identifying bursts of near-duplicate subject lines from newly-seen domains with auth failures.
Detects a specific pattern associated with the VioletRAT stage-2 loader, where cmd.exe executes a randomly-named batch file from a temporary directory, which subsequently launches a hidden PowerShell process designed to download or reflectively load a .NET assembly.
Detects a specific pattern associated with the VioletRAT stage-2 loader, where cmd.exe executes a randomly-named batch file from a temporary directory, which subsequently launches a hidden PowerShell process designed to download or reflectively load a .NET assembly.
Detects a specific pattern associated with the VioletRAT stage-2 loader, where cmd.exe executes a randomly-named batch file from a temporary directory, which subsequently launches a hidden PowerShell process designed to download or reflectively load a .NET assembly.
This rule monitors for activity associated with specific known malicious file names (killer.exe, kill.exe) and network connections to a set of identified malicious IP addresses. It aggregates events from DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents to identify potential communication or presence of these malicious artifacts.
This rule monitors for activity associated with specific known malicious file names (killer.exe, kill.exe) and network connections to a set of identified malicious IP addresses. It aggregates events from DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents to identify potential communication or presence of these malicious artifacts.
Detects suspicious PE files that masquerade as Mozilla Firefox by using Firefox-related product names and metadata, but lack valid Mozilla Corporation code-signing signatures and are located within the ProgramData directory.
Detects files that contain a valid RTF file header but also contain signatures indicative of embedded non-RTF content such as PE executables, ZIP archives, or OLE objects. This technique is often used to masquerade malicious payloads as benign document files.
Detects instances where PowerShell is executed with a command line string containing 'Google Chrome Update' and initiates a network connection. This behavior is indicative of a malicious process masquerading as a legitimate browser update mechanism to hide network activity.
This rule set detects web traffic associated with 'GhostCode' phishing campaigns. These campaigns utilize Cloudflare Turnstile verification gates on non-Cloudflare domains, specific phishing page titles, and session cookies ('turnstile_verified', 'cf_clearance') to facilitate device code phishing or credential harvesting activities.
The following analytic detects a process requesting duplicate-handle and query-limited-information access to winlogon.exe.
It leverages Sysmon EventCode 10 and checks for access masks that combine PROCESS_DUP_HANDLE (0x40) and PROCESS_QUERY_LIMITED_INFORMATION (0x1000).
It leverages Sysmon EventCode 10 and checks for access masks that combine PROCESS_DUP_HANDLE (0x40) and PROCESS_QUERY_LIMITED_INFORMATION (0x1000).
The following analytic detects potential process injection attempts into executables that are commonly abused leveraging Sysmon EventCode 10.
It identifies Access Mask requests (0x40 and 0x1fffff) to processes such as notepad.exe, wordpad.exe and calc.exe, excluding common system paths like System32, Syswow64, and Program Files.
This activity was associated with the SliverC2 framework by BishopFox.
Monitoring this activity may indicate an initial payload attempting to execute malicious code.
It identifies Access Mask requests (0x40 and 0x1fffff) to processes such as notepad.exe, wordpad.exe and calc.exe, excluding common system paths like System32, Syswow64, and Program Files.
This activity was associated with the SliverC2 framework by BishopFox.
Monitoring this activity may indicate an initial payload attempting to execute malicious code.
The following analytic detects Cisco IOS-XE configuration changes performed by the WebUI WSMA process.
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