SigmaHQ Detections
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6,800 detections
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Detects exploits that leverage CVE-2017-11882 by monitoring for the execution of EQNEDT32.EXE as a parent process, which is indicative of the vulnerability being exploited to launch further malicious processes like mshta.exe.
Detects the installation of suspicious packages using common Linux package managers (apt, yum, rpm, dpkg). The rule specifically looks for keywords associated with network scanning, sniffing, and proxy tools, which could indicate reconnaissance, network analysis, or attempts to bypass network controls by an adversary.
Detects the usage of specific LDAP attributes ('primaryInternationalISDNNumber', 'otherFacsimileTelephoneNumber', 'primaryTelexNumber') that are known to be used by the LDAPFragger tool for data exchange via LDAP. These attributes are generally not commonly used in enterprise environments, making their appearance suspicious and indicative of potential Command and Control activity.
This rule detects when a file's creation timestamp is changed to a different year than its previous creation timestamp. This technique, known as timestomping, can be used by attackers to make malicious files appear legitimate or to evade detection by blending them with existing system files. The rule specifically looks for changes where the year component of `PreviousCreationUtcTime` differs from `CreationUtcTime`. It includes filters to reduce false positives from common system processes like `ProvTool.exe`, `usocoreworker.exe`, `SystemSettings.exe`, and `TiWorker.exe` when handling temporary files or cabinet files.
Detects suspicious child processes spawned by the Veeam SQL Server database process. This activity could indicate a successful Remote Code Execution (RCE) or SQL Injection attack against the Veeam database, where an attacker has managed to execute system commands or scripts.
This rule detects exploitation attempts against the Log4j RCE vulnerability, also known as Log4Shell (CVE-2021-44228). It looks for various JNDI (Java Naming and Directory Interface) lookup patterns, including LDAP, RMI, LDAPS, DNS, NIS, NDS, CORBA, and IIOP, as well as obfuscated forms of these patterns, which are commonly used to trigger the vulnerability. The rule specifically filters out known vulnerability scanning traffic from Nessus to reduce false positives.
This rule identifies when secrets stored in Azure Key Vaults are modified or deleted. It specifically looks for operations such as writing, deleting, backing up, purging, updating, recovering, restoring, or setting secrets within Azure Key Vaults. This activity can indicate unauthorized access to sensitive credentials or an attempt to disrupt services by removing critical secrets.
This rule detects the use of the OAuth 2.0 device code authentication flow within an environment. While legitimate for input-constrained devices, its presence in other scenarios warrants investigation as it could indicate a misconfigured application or malicious activity. The rule specifically looks for "Device Code" in Azure sign-in logs.
This rule detects specific commands commonly used to remove or empty the syslog file on Linux systems. Adversaries may clear or modify system logs to remove evidence of their activities, hindering incident response and forensic analysis. The rule specifically looks for 'rm' commands with various flags (e.g., -r, -f, -rf) and 'mv' commands targeting '/var/log/syslog', as well as redirection to empty the file ('>/var/log/syslog').
Detects DNS TXT records containing strings commonly used for command execution, such as 'IEX' (Invoke-Expression), 'Invoke-Expression', and 'cmd.exe'. This technique can be used by adversaries for command and control (C2) or data exfiltration by embedding commands within DNS responses.
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