Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects suspicious PowerShell execution patterns involving encoded commands, hidden window styles, or common download cradles combined with code obfuscation techniques. This rule monitors PowerShell ScriptBlock Logging (Event ID 4104) for combinations of indicators often used by threat actors to evade detection, such as Base64-encoded strings, hidden execution flags, network download utilities, and script obfuscation techniques.
Detects the use of native Windows utilities (vssadmin, wmic, wbadmin, bcdedit) to delete volume shadow copies, backup catalogs, or disable recovery mechanisms. This behavior is commonly associated with ransomware or destructive attacks attempting to inhibit system recovery.
This rule detects attempts to perform a DCSync attack by monitoring for Windows Event ID 4662 (Object Access) with specific Directory Replication Service (DRS) GUIDs. These GUIDs are used by attackers to request the replication of sensitive data, such as password hashes, from a Domain Controller without having direct access to it. This technique is commonly used by tools like Mimikatz and Impacket's secretsdump to extract credentials from Active Directory.
This rule detects the creation of named pipes with names that match default or commonly customized patterns used by Cobalt Strike Beacons for inter-process communication (IPC) and lateral movement. The detection specifically targets common pipe naming conventions such as those starting with 'msagent_', 'MSSE-', 'postex_', 'status_', and 'mypipe-', which are frequently observed in Cobalt Strike configurations.
Detects the creation of new system services using EventID 7045 where the ImagePath points to suspicious temporary directories, administrative shares (ADMIN$), or utilizes randomly generated service names. This pattern is commonly associated with PsExec-style lateral movement and ransomware staging.
Detects PowerShell processes using the .NET System.IO.File methods (SetLastWriteTime, SetCreationTime, SetLastAccessTime) to modify file timestamps, a common anti-forensic technique to obfuscate file creation or modification times.
Detects PowerShell processes using the .NET System.IO.File methods (SetLastWriteTime, SetCreationTime, SetLastAccessTime) to modify file timestamps, a common anti-forensic technique to obfuscate file creation or modification times.
Detects anomalous DNS traffic patterns indicative of DNS tunneling, which is often used for command-and-control (C2) communication or data exfiltration. The rule identifies suspicious indicators such as abnormally long subdomain labels (potentially containing encoded payloads), misuse of TXT or NULL record types for data transport, and high-frequency queries to a single apex domain, while excluding common CDN providers to reduce false positives.
Detects PowerShell processes using the .NET System.IO.File methods (SetLastWriteTime, SetCreationTime, SetLastAccessTime) to modify file timestamps, a common anti-forensic technique to obfuscate file creation or modification times.
Detects high-risk AWS IAM privilege escalation activities, such as attaching AdministratorAccess policies, creating new access keys, roles, or users, occurring shortly after a suspicious sign-in event (e.g., impossible travel or new device login with MFA) for the same principal.
Detects process and file creation activity matching known MovieReaper loader and downstream module file hashes (MD5/SHA256). C2 IP/domain network indicators for this campaign require a separate network_connection-category rule, since Sigma logsource categories cannot be mixed within a single rule.
Detects outbound HTTP requests to the Telegram Bot API associated with the malicious 'indexed-btree' npm package. The rule specifically monitors for hardcoded Telegram bot tokens and chat IDs used for data exfiltration.
Detects instances where the system DNS process (dns.exe) on a domain controller performs recursive DNS resolution towards a set of external IP addresses associated with suspicious infrastructure (AS202412). The rule correlates this activity with recent network connections from common web browsers or system utilities (msedge.exe, svchost.exe) on the same host to identify potential proxying of malicious DNS queries.
This rule detects HTTP GET requests to a specific GitHub repository path (raw.githubusercontent.com/omskiwdcvoiuyfd0998/) identified as staging infrastructure associated with Konni/VelvetCake malware operations. This activity is indicative of a compromised host attempting to download malicious payloads or stage tools from actor-controlled infrastructure.
Detects specific command-and-control (C2) communication patterns associated with the VelvetCake malware. The rules identify initial authentication with a hardcoded password string, module enumeration requests, and session termination signals transmitted over TCP.
Detection of network traffic associated with VelvetCake (Konni) malware, identifying communication with known hardcoded C2 infrastructure, domain lookups, and exfiltration attempts via HTTP/TLS and raw TCP protocols.
Detection of network traffic associated with VelvetCake (Konni) malware, identifying communication with known hardcoded C2 infrastructure, domain lookups, and exfiltration attempts via HTTP/TLS and raw TCP protocols.
Detects Microsoft Exchange Control Panel (ECP) worker process (w3wp.exe) spawning suspicious child processes (e.g., cmd.exe, powershell.exe, mshta.exe) that are commonly associated with the exploitation of CVE-2020-0688. This vulnerability involves unsafe deserialization within the Exchange ECP ViewState handling, which allows an attacker to execute arbitrary code with SYSTEM privileges.
Detects instances where the PaperCut application server process (pc-app.exe) or its underlying Java processes (javaw.exe or java.exe) spawn command-line interpreters such as cmd.exe or powershell.exe. This behavior is indicative of potential post-exploitation activity, specifically Remote Code Execution (RCE) via vulnerabilities targeting PaperCut servers.
Detects network activity (TCP, DNS, TLS, HTTP) associated with the UNC6240 threat actor's infrastructure, specifically targeting communications with known malicious IP addresses and domains used in a campaign leveraging PeopleSoft-related lures.
Detects network activity (TCP, DNS, TLS, HTTP) associated with the UNC6240 threat actor's infrastructure, specifically targeting communications with known malicious IP addresses and domains used in a campaign leveraging PeopleSoft-related lures.
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