Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

278 detections

Detects activity associated with the SPECTRALVIPER malware loader, specifically identifying known malicious file hashes (system.config.xml, NotificationConfig.json) and cross-process memory injection patterns (RemoteMemoryAllocation, RemoteMemoryWrite, CreateRemoteThreadApiCall) initiated by specific suspect processes.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects a sequence of actions where a process first enumerates security software (e.g., via WMIC, Registry, or PowerShell) followed by an attempt to stop or terminate security-related services or processes within a short timeframe (5 minutes). This pattern is indicative of an adversary attempting to identify and disable endpoint protection before executing further malicious activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects the suspicious creation of executable files in C:\ProgramData with randomized paths, typically associated with the SystemBC backdoor. The detection rule correlates this file creation event with co-occurring suspicious activities indicative of ransomware operations, such as the creation of known ransomware-related files (e.g., decryptor notes) or signs of lateral movement via non-standard network traffic and SMB activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
This rule monitors for two high-confidence indicators of malicious activity: the execution of known Payouts King ransomware binaries and the termination of security software processes by non-system actors, which is indicative of defensive evasion techniques such as syscall abuse.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects instances where a process obtains a handle with PROCESS_VM_WRITE access to another process, followed shortly thereafter by a WriteProcessMemory operation into that same target process. This behavior is indicative of potential process injection, such as hooking remote GUI processes or other memory-based manipulation techniques.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
004
This rule detects potential process injection attempts targeting the Windows Update Service (wusvc.exe). It monitors for suspicious API calls, including VirtualAlloc, VirtualProtect, WriteProcessMemory, and QueueUserAPC, or memory page protections set to PAGE_EXECUTE_READWRITE within the context of the wusvc.exe process. The detection requires multiple distinct indicators of injection to be present, reducing the likelihood of flagging benign administrative activities.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
005
Detects high-volume failed authentication attempts targeting a specific user account from a source IP address, indicative of 'MFA fatigue' or 'push bombing' attacks. This rule monitors endpoint-visible logon failure events as captured by EDR telemetry to identify potential attempts to circumvent multi-factor authentication by spamming the user with requests.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
406
This rule detects potential ransomware activity by monitoring for two key signals: interaction with known canary/trap files designed to detect unauthorized access, and rapid, mass file modification of common user data extensions within a short timeframe. Either behavior is indicative of encryption or automated file destruction processes typical of ransomware attacks.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
003
Detects Akira ransomware-related activity by identifying the creation of characteristic ransom notes or files with the .akira extension, combined with signs of security defense impairment (such as disabling Windows Defender via command line).
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects activity associated with known Android Remote Access Trojans (RATs) such as BTMOB, CraxsRAT, CypherRAT, and SpySolr on SentinelOne-managed Android devices. It flags suspicious file creations (sideloaded APKs in user storage), specific malicious process names, SentinelOne threat indicators, and abuse of accessibility services for unauthorized remote control, keylogging, or screen overlay activities.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects suspicious PowerShell script behavior that attempts to patch the Anti-Malware Scan Interface (AMSI) in-memory by manipulating internal .NET/CLR methods. It identifies the combination of dangerous API calls (e.g., VirtualProtect, Marshal.Copy, PrepareMethod) typically used to bypass AMSI scanning via JIT compilation patching targeting the WinScanContent method.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects potential cross-process memory injection activity by monitoring for a non-debugger process that performs both NtAllocateVirtualMemory and WriteProcessMemory operations against a sensitive GUI target process within a short 5-minute correlation window.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects instances where a process obtains a handle with PROCESS_VM_WRITE access to another process, followed shortly thereafter by a WriteProcessMemory operation into that same target process. This behavior is indicative of potential process injection, such as hooking remote GUI processes or other memory-based manipulation techniques.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
This rule detects cross-process memory allocation, memory writing, and thread creation activities targeting critical Windows processes like svchost.exe or explorer.exe. Such actions are commonly utilized by attackers for code injection (e.g., Payouts King tradecraft) to execute arbitrary code within the context of trusted processes, enabling evasion or persistence.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
007
Detects a process hollowing technique where legitimate system processes (svchost.exe or notepad.exe) are spawned by non-standard parent processes, followed by suspicious memory manipulation API calls (such as NtUnmapViewOfSection, NtWriteVirtualMemory, or NtResumeThread) from an non-system process, indicative of malicious code injection.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
This rule detects the execution of Impacket toolkit modules (such as psexec.py, wmiexec.py, secretsdump.py) via EDR process events, as well as potential lateral movement patterns identified by NTLM authentication (Logon Type 3) to ADMIN$ or IPC$ shares. This combination of signals is indicative of credential dumping, remote service execution, or lateral movement using techniques often employed by the Impacket suite.
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Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
105
Detects high-volume failed authentication attempts targeting a specific user account from a source IP address, indicative of 'MFA fatigue' or 'push bombing' attacks. This rule monitors endpoint-visible logon failure events as captured by EDR telemetry to identify potential attempts to circumvent multi-factor authentication by spamming the user with requests.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
203
This rule detects unauthorized modifications to the Antimalware Scan Interface (AMSI) in memory. It specifically monitors for calls to VirtualProtect or VirtualProtectEx when directed at amsi.dll or attempting to patch AmsiOpenSession, which is a common technique used by malware to disable AMSI scanning capabilities and evade EDR/AV inspection.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects instances where the svchost.exe process is associated with multiple occurrences of indicators categorized as 'Misc', potentially indicating malicious activity or process abuse that bypasses standard detection signatures.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
This rule detects potential ransomware activity by monitoring for two key signals: interaction with known canary/trap files designed to detect unauthorized access, and rapid, mass file modification of common user data extensions within a short timeframe. Either behavior is indicative of encryption or automated file destruction processes typical of ransomware attacks.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
This rule detects potential attempts to bypass the Antimalware Scan Interface (AMSI) by monitoring memory protection changes (VirtualProtect) targeting the AmsiScanBuffer function within the amsi.dll module. Attackers often modify this function's memory permissions to PAGE_EXECUTE_READWRITE to inject code or patch the function, effectively disabling AMSI scanning capabilities.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
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