Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the execution of PowerShell with suspicious command-line arguments (hidden window, no profile, or encoded commands) spawned directly from a web browser process (e.g., Chrome, Edge, Firefox, Explorer). This behavior is characteristic of ClickFix-style social engineering attacks where a user is tricked into copying and executing malicious PowerShell commands via the Win+R Run dialog or terminal.
Detects the creation of specific file artifacts and process execution associated with the PIVOTPIPE .NET loader. The rule monitors for the creation of temporary working directories prefixed with 'nb_' in '\Windows\Temp\', the staging of associated configuration and payload files (such as 'agent.json', 'pk.der', 'sleepmask.o', 'core.pak'), and the execution of associated process names like 'netbeacon_pivot.exe', 'pivot_hop2_kasp.exe', or 'x64beacon.exe'.
Detects the creation or modification of known PIVOTPIPE loader artifacts, specifically the 'sleepmask.o' file and related configuration or helper files ('agent.json', 'pk.der', 'core.pak'), within temporary directories prefixed with 'nb_' under the Windows Temp folder. These files are used by the PIVOTPIPE loader to implement sleep-masking techniques that encrypt beacon memory during dormant periods to evade detection.
Detects PowerShell execution containing multiple command-line arguments indicative of environment discovery, such as checking system uptime, hardware specifications, or specific memory-related delays. These patterns are commonly used by malware to detect virtual machines, sandboxes, or analysis environments to alter execution or exit.
Detects the creation of specific debug log files by PIVOTPIPE Cobalt Strike-compatible payloads in the Windows temporary directory. These artifacts indicate active post-exploitation activity, specifically operations involving process token manipulation or impersonation.
Detects the execution of rundll32.exe from a WebDAV network path ('@\DavWWWRoot\') where specific suspicious substrings (e.g., 'verification.google', 'pf.ch', 'moor', 'CfgInspectModuleData') are present in the command line. This pattern is commonly associated with the execution of remote payloads or malicious DLLs to bypass security controls.
Detects a process that deletes its own executable file immediately after launching. This anti-forensic behavior is commonly utilized by remote access trojans (RATs) and other malware to minimize their footprint and evade file-based forensic analysis.
This rule detects the GHAPPIER multi-stage loader, typically observed in 'indexe.cjs' files. The loader fetches and executes a remote payload from a Vercel-hosted domain (primevector-app924560.vercel.app) using 'eval' on retrieved content, or matches specific payload identification tags.
Detects the execution of rundll32.exe with a command line containing 'DavWWWRoot', indicating the loading of a DLL payload directly from a remote WebDAV share. This behavior is commonly associated with ClickFix/ClearFake infection chains where users are tricked into executing malicious payloads hosted on attacker-controlled WebDAV servers.
Detects execution of code using indirect syscalls or ntdll unhooking techniques, often associated with the PIVOTPIPE loader/RAT. The rule monitors for EDR indicators of evasion such as syscall stub execution, direct/indirect Nt* system call invocation, or call stacks originating outside of ntdll.dll, intended to bypass userland security hooks.
Detects the creation of a hidden file named '.git-checker' within system temporary directories (e.g., /tmp or \Temp\). This filename is often associated with adversary activity attempting to stage files, maintain persistence, or perform reconnaissance.
Detects the presence of specific debug log files ('nb_hook_dbg.txt', 'nb_sleep_dbg.txt', etc.) created within 'C:\WINDOWS\Temp\' by the PIVOTPIPE malware family. These artifacts are produced during the initialization of indirect syscall and sleep-mask evasion routines, serving as a proxy indicator for these stealthy execution techniques.
Detects the execution of known PIVOTPIPE RAT binary files based on their SHA256 hashes or file names. PIVOTPIPE RAT is capable of token manipulation and impersonation techniques (e.g., ImpersonateLoggedOnUser, DuplicateTokenEx) to perform privileged operations or escalate security context.
Detects when a namespace-scoped identity creates, updates, or patches AWS or Azure IAM-related custom resources in Kubernetes. This pattern monitors for a 'confused deputy' scenario where a user might attempt to leverage high-privilege cloud operators (like ACK or ASO v2) that operate with a shared high-privilege identity to modify cloud IAM configurations.
Detects when a namespace-scoped identity creates, updates, or patches AWS or Azure IAM-related custom resources in Kubernetes. This pattern monitors for a 'confused deputy' scenario where a user might attempt to leverage high-privilege cloud operators (like ACK or ASO v2) that operate with a shared high-privilege identity to modify cloud IAM configurations.
Detects high-privileged Entra ID accounts successfully reaching the verification stage of the Self-Service Password Reset (SSPR) process. While SSPR is automatically enabled for administrative accounts, this activity is anomalous and potentially indicates an attacker focusing on discovered privileged accounts after performing broader enumeration.
Detects high-privileged Entra ID accounts successfully reaching the verification stage of the Self-Service Password Reset (SSPR) process. While SSPR is automatically enabled for administrative accounts, this activity is anomalous and potentially indicates an attacker focusing on discovered privileged accounts after performing broader enumeration.
Detects high-privileged Entra ID accounts successfully reaching the verification stage of the Self-Service Password Reset (SSPR) process. While SSPR is automatically enabled for administrative accounts, this activity is anomalous and potentially indicates an attacker focusing on discovered privileged accounts after performing broader enumeration.
Detects the use of tasklist.exe combined with process filtering (findstr) to identify common debugger names such as 'dbg.exe', 'x64dbg.exe', 'windbg.exe', or 'ollydbg.exe'. This technique is a known evasion tactic employed by the Kimsuky threat group (and others) to check for the presence of analysis tools before continuing execution of malicious batch scripts.
Detects the creation or modification of documents in common formats (e.g., .txt, .md, .docx, .pdf) that contain strings indicative of prompt-injection attempts. These strings are commonly used to manipulate the behavior of AI agents or Large Language Models (LLMs) that may process or index these files automatically.
Detects the creation of an NTFS Alternate Data Stream named ':changelist' on files with a .sys extension. This activity is indicative of potential malicious configuration staging or persistent storage, as seen in techniques involving BTR.sys or similar driver-based persistence mechanisms.
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