Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects suspicious file create or write operations within the domain SYSVOL Policies directory. This pattern is commonly associated with attackers attempting to deploy malicious payloads, such as ransom notes or configuration changes, via Group Policy Objects (GPO). The rule monitors Windows Event ID 4663 to identify unauthorized modification attempts by non-system accounts.
This rule detects malformed SCTP packets that trigger a protocol decoding error ('pkt_too_small'). This behavior is associated with the 'DiagSpill' vulnerability (CVE-2026-74469), where specially crafted chunk sequences in the SCTP stream can cause a remote service crash or potential instability. The rule includes a threshold to mitigate noise from non-malicious malformed packets.
Detects a specifically malformed IPv6 Routing Header (type 0) with a 'segments_left' value of 255 preceding an Authentication Header (AH). This signature targets an exploit pattern known as 'DirtyAH6', which aims to trigger a remote kernel crash or potential remote code execution on vulnerable systems by manipulating IPv6 header processing.
Detects phishing attempts leveraging SendGrid infrastructure to send emails that impersonate well-known financial brands. The detection looks for emails with authentication checks passing (SPF/DKIM/DMARC) where the sender domain is suspicious (e.g., .asia or .com not matching the brand) and the volume of such messages suggests an automated campaign.
Detects when a single process terminates two or more critical security, database, or backup related processes within a short window. This behavior is often associated with adversary attempts to disable security controls or disrupt database operations, commonly observed during the impact phase of an attack or preparatory to data destruction/encryption.
Detects DragonForce ransomware attempting to identify accessible SMB network shares by executing 'net view' commands. This activity is a precursor to encrypting files on reachable administrative shares (e.g., C$) while excluding system-specific shares like ADMIN$.
Monitors GitHub Audit Logs for git pushes or workflow changes occurring after the September 16, 2026, reactivation window that reference the actions-cool/issues-helper or actions-cool/maintain-one-comment repositories. The rule excludes routine automated maintenance activity from trusted bots and common maintenance commit messages, aiming to identify unauthorized attempts to utilize or modify potentially compromised GitHub actions.
Monitors GitHub Audit Logs for git pushes or workflow changes occurring after the September 16, 2026, reactivation window that reference the actions-cool/issues-helper or actions-cool/maintain-one-comment repositories. The rule excludes routine automated maintenance activity from trusted bots and common maintenance commit messages, aiming to identify unauthorized attempts to utilize or modify potentially compromised GitHub actions.
Monitors GitHub Audit Logs for git pushes or workflow changes occurring after the September 16, 2026, reactivation window that reference the actions-cool/issues-helper or actions-cool/maintain-one-comment repositories. The rule excludes routine automated maintenance activity from trusted bots and common maintenance commit messages, aiming to identify unauthorized attempts to utilize or modify potentially compromised GitHub actions.
Monitors GitHub Audit Logs for git pushes or workflow changes occurring after the September 16, 2026, reactivation window that reference the actions-cool/issues-helper or actions-cool/maintain-one-comment repositories. The rule excludes routine automated maintenance activity from trusted bots and common maintenance commit messages, aiming to identify unauthorized attempts to utilize or modify potentially compromised GitHub actions.
Monitors GitHub Audit Logs for git pushes or workflow changes occurring after the September 16, 2026, reactivation window that reference the actions-cool/issues-helper or actions-cool/maintain-one-comment repositories. The rule excludes routine automated maintenance activity from trusted bots and common maintenance commit messages, aiming to identify unauthorized attempts to utilize or modify potentially compromised GitHub actions.
Detects the execution of known remote access and support tools on a host shortly after an email bombing or spam flood alert has been generated for the same user. This pattern is commonly associated with social engineering campaigns where attackers overwhelm a user's inbox to distract them while coercing them into running remote support software to 'resolve' the issue.
Detects execution of the Windows diskpart utility using a script file, initiated by a process with a name ending in _win64.exe. This pattern is commonly used in malicious scripts for disk manipulation or inhibiting system recovery.
Detects execution of the Windows diskpart utility using a script file, initiated by a process with a name ending in _win64.exe. This pattern is commonly used in malicious scripts for disk manipulation or inhibiting system recovery.
This rule detects the creation of Git branches or tags using names that match the 40-character or 64-character hexadecimal format of Git commit hashes. This technique, identified in the context of Plugin4Shell, is used to spoof pinned-commit references, potentially misleading automated systems or developers into using malicious code versions.
Detects the execution of the Windows cipher.exe utility with the /w flag, which is used to overwrite deleted data on a disk to prevent forensic recovery. This is a common technique used by adversaries to perform data destruction or cover their tracks.
Detects anomalous spikes in inference API request volume per caller, correlated with increased p95 latency and elevated error rates (5xx or 408). This behavior is characteristic of a denial-of-service attack targeting AI inference endpoints, potentially exhausting backend resources and disrupting service availability.
Detects potential Denial of Service (DoS) against AI/LLM inference endpoints. It monitors for high-frequency request spikes or abnormally large request payloads (oversized context windows) directed at common model endpoints that could lead to disproportionate compute resource consumption.
Detects a rapid, multi-stage intrusion sequence on a single host involving discovery, lateral movement, and high-volume file modifications. The rule identifies anomalous behavior where diverse reconnaissance and lateral movement commands are executed within a compressed timeframe, characteristic of automated or LLM-driven orchestration of ransomware operations.
Detects the presence of an XMRig cryptocurrency miner masquerading as the systemd-logind process. The rule identifies processes named 'systemd-logind' that either reside in an incorrect file path ('/usr/sbin/systemd-logind') or utilize command-line arguments characteristic of XMRig mining activity. This behavior is associated with the CARBONATO botnet.
This rule detects modifications to the Windows hosts file by unauthorized processes. The hosts file is often targeted by adversaries to redirect network traffic, intercept communications, or prevent access to security-related websites.
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