Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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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 file artifacts referencing OtterCandy malware, which combines OtterCookie and RATatouille RAT capabilities, associated with WaterPlum/Contagious Interview campaign
Detects file artifacts referencing OtterCandy malware, which combines OtterCookie and RATatouille RAT capabilities, associated with WaterPlum/Contagious Interview campaign
Detects delivery and execution artifacts associated with the BlueMoon CVE-2026-85046 V8 type-confusion exploit. The rule monitors for known exploit-related file names (e.g., driver-html.js) and characteristic string indicators (e.g., v8ctf_exp_attempt, addrof, fakeobj) across file system, process execution, and network telemetry.
This rule monitors for indicators of compromise (IOCs) associated with a specific AutoIT-based malware delivery chain. It tracks the execution and presence of specific malicious file names and SHA256 hashes, as well as network connections to a identified command-and-control (C2) infrastructure IP address (158.51.122.136). The detection spans file creation, process execution, image loading, and network communication events to identify the multi-stage attack lifecycle.
Detects the malicious OIC_Invitation_General_Official.lnk sample used as the entrypoint for PlugX infection chain
Detects the obfuscated first-stage JavaScript payload sharedLoad.min.js dropped by the malicious npm indexed-btree package, identified by string-array encoding and self-checksumming array rotation obfuscation patterns
Detects the obfuscated first-stage JavaScript payload sharedLoad.min.js dropped by the malicious npm indexed-btree package, identified by string-array encoding and self-checksumming array rotation obfuscation patterns
Detects a large volume of file write, rename, or creation operations within a single minute by a single process, concurrently with the creation of files containing common ransomware keywords (e.g., 'readme', 'decrypt', 'how_to'). This behavior is characteristic of ransomware encryption activities.
This rule detects a sequence of suspicious events related to the 'ENCFORGE' threat actor or toolset. It monitors for evidence of initial access (via validation/code API calls), command and control communication (to specific IP/port), and destructive impact, correlating these activities within a 4-hour window on the same host.
Detects the presence of natural-language self-narration in code comments within Python or SQL scripts. This pattern is indicative of LLM-driven agentic execution, where automated agents narrate their own malicious actions, such as enumeration, data exfiltration, or database manipulation, as observed in the JADEPUFFER campaign.
Detects the Kimsuky second-stage payload test.bef_fri which masquerades as an RTF file via a falsified RTF header before header repair and decompression
Detects the execution or file activity associated with the 'OrionQuests-Setup.exe' installer. This rule monitors both process creation and file system activity to track the presence and usage of this specific installer executable, which may indicate the installation of potentially unauthorized or untrusted software.
Detects the presence or execution of a specific file hash associated with a known malicious campaign (KREMLIN/REF9334) that leverages a signed SentinelOne binary. This indicates potential abuse of trusted code-signing to bypass security controls.
Detects the loading of 'libcurl.dll' or related DLL patterns from suspicious directories such as '\Microsoft\Crypto\RuntimeBroker\', often associated with process masquerading or side-loading activities. The rule also monitors for the execution of suspicious binaries ('Tax_Notice_45594.exe') or binaries that mimic 'Notepad++' metadata from within these paths.
Detects the presence or execution of a specific file hash associated with a known malicious campaign (KREMLIN/REF9334) that leverages a signed SentinelOne binary. This indicates potential abuse of trusted code-signing to bypass security controls.
This rule monitors for network connections to known command-and-control (C2) domains or DGA-patterned domains (ending in .icu or .cfd), as well as the execution or file creation of files matching known malicious SHA256 hashes.
This rule monitors for network connections to known command-and-control (C2) domains or DGA-patterned domains (ending in .icu or .cfd), as well as the execution or file creation of files matching known malicious SHA256 hashes.
This rule identifies the execution of specific binaries (Kingsoft Office suite and Onkey/Tendyron components) from suspicious or uncommon directories such as temporary folders, user downloads, or public directories, which may indicate the staging and execution of malicious payloads masquerading as legitimate software.
This rule detects the presence or execution of known files 'winfsp-x64.dll' or 'DukeQt.dll' when located in suspicious, user-writable directories such as AppData, Temp, or ProgramData, while excluding standard system or program installation paths.
Detects the use of the native Windows utility cipher.exe with the /w flag executed from the command prompt. The /w switch instructs cipher to remove data from available unused disk space, which is a technique often used by threat actors to hinder forensic recovery of deleted files.
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