Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
40,063 detections
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Detects the presence of a hardcoded X25519 public key associated with the 'indexed-btree' npm malware loader. This loader uses the key for ECDH key derivation to decrypt secondary payloads retrieved from an Ethereum smart contract, a technique used by malicious packages to hide their functionality.
Detects the execution of 'wkspbroker.exe' or the loading of 'radcui.dll' from a non-standard, user-writable directory path ('AppData\Local\Microsoft\RemoteApp\Gateway'). This behavior is indicative of DLL sideloading or execution of potentially malicious or unauthorized binaries masquerading as legitimate Windows remote connectivity components.
Detects the execution of AnyDesk shortly after a Microsoft Teams meeting or call initiation on the same host. This pattern is commonly observed in social engineering attacks where an adversary convinces a user to use remote access software during a live support or phishing call.
This rule detects potentially malicious activity where an executable with an MD5-formatted name is created in the user's temporary folder, followed by the creation of a registry key with a matching MD5-formatted name in HKEY_CURRENT_USER\SOFTWARE\ within 15 minutes. This behavior is indicative of a persistence mechanism where malware drops a payload in a temp directory and sets a run or autorun registry key to ensure its execution upon logon or startup.
Detects execution of WMI or PowerShell queries by HTA, WScript, or CScript processes to gather system information such as OSLanguage, BIOS, or hardware identifiers. This behavior is indicative of environment-awareness checks used by the Casbaneiro/Ousaban banking trojan to identify sandbox or virtualization analysis environments before proceeding with the infection.
This rule detects a multi-stage attack chain targeting a single user within a 2-hour window. It identifies the combination of email bombing (a distraction technique), an incoming external or anonymous Teams call (social engineering channel), and the installation of common remote access tools (e.g., AnyDesk, TeamViewer) on the same host.
Detects the creation or modification of a file named '.Outlook' within the AppData or AppData\Roaming folders, followed by network communication to known malicious domains or IP addresses by a process other than outlook.exe within a 30-minute window. This behavior is indicative of potential malware staging or command-and-control communication.
Detects suspicious clipboard activity where the clipboard is either accessed or modified by known utility processes (e.g., AutoIt, RegSvcs) or contains patterns indicative of cryptocurrency address hijacking (e.g., Bitcoin or Ethereum addresses).
Detects processes repeatedly loading GDI/display libraries (gdi32.dll, gdi32full.dll, user32.dll) at a sustained cadence indicative of automated screen capturing. The rule excludes common collaboration and remote access tools known to perform these functions legitimately, flagging high-frequency, long-duration activity consistent with malicious screen scraping techniques.
Detects process injection and hook evasion attempts where a thread is created or modified with a start address that does not resolve to a known, legitimate memory module. This pattern is indicative of shellcode execution or reflective DLL injection where the malicious code resides in anonymous or unbacked memory regions.
Detects PowerShell command lines that simultaneously utilize .NET cryptography classes (TripleDES or AES) for decryption and runspace pipeline creation. This pattern indicates an in-memory execution technique where malicious payloads are decoded and executed directly within the PowerShell process, effectively bypassing disk-based security controls.
This rule monitors for suspicious Node.js process activity, specifically focusing on the loading of scripts associated with obfuscated or malicious packages (e.g., sharedLoad.min.js, indexed-btree) and the use of child_process spawn patterns that indicate detached, hidden, or unreferenced child processes, which are common tactics for bypassing detection or maintaining stealthy execution.
Detects instances where the suspicious binary 'x47_bot.exe' performs process injection or hollows a process, followed by an attempt to gain or elevate privileges (such as via UAC bypass, token manipulation, or privilege checking) on the same host within a 15-minute window.
Detects non-browser processes accessing sensitive browser-stored credential and cookie databases concurrently with access to Discord local storage, which is a common behavior of information-stealing malware (e.g., x47.c) to aggregate credentials for exfiltration.
Detects the execution of the Chisel C2 tool by matching its unique command-line grammar, specifically the 'client' subcommand combined with reverse remote ('R:') configurations. This detection strategy is resilient against binary renaming and infrastructure rotation by focusing on the tool's required argument structure rather than static IOCs like filenames or C2 addresses. It is specifically useful for identifying unauthorized remote tunnels used for persistence and data exfiltration.
This rule detects the execution or presence of specific Go or Terraform modules known to be malicious or associated with suspicious dependency retrieval. It monitors command-line activity from terraform.exe/go.exe attempting to download/run from these paths, as well as file system events involving these specific folder paths and filenames.
This rule detects the execution or presence of specific Go or Terraform modules known to be malicious or associated with suspicious dependency retrieval. It monitors command-line activity from terraform.exe/go.exe attempting to download/run from these paths, as well as file system events involving these specific folder paths and filenames.
This rule detects the execution or presence of specific Go or Terraform modules known to be malicious or associated with suspicious dependency retrieval. It monitors command-line activity from terraform.exe/go.exe attempting to download/run from these paths, as well as file system events involving these specific folder paths and filenames.
This rule detects the execution or presence of specific Go or Terraform modules known to be malicious or associated with suspicious dependency retrieval. It monitors command-line activity from terraform.exe/go.exe attempting to download/run from these paths, as well as file system events involving these specific folder paths and filenames.
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 instances where msbuild.exe is spawned from suspicious parent processes without valid project files and subsequently receives cross-process injection activity (such as CreateRemoteThread or WriteProcessMemory) within a short timeframe. This behavior is indicative of an adversary attempting to use MSBuild to proxy malicious code execution.
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