Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
956 detections
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Detects "BugCheck" errors indicating the system rebooted due to a crash, capturing the bugcheck code, dump file path, and report ID.
The following analytic detects the use of the Certipy tool to enumerate Active Directory Certificate Services (AD CS) environments by identifying unique file modifications. It leverages endpoint process and filesystem data to spot the creation of files with specific names or extensions associated with Certipy's information gathering and exfiltration activities. This activity is significant as it indicates potential reconnaissance and data exfiltration efforts by an attacker. If confirmed malicious, this could lead to unauthorized access to sensitive AD CS information, enabling further attacks or privilege escalation within the network.
This analytic detects the creation of .wav files in the AppData\Roaming folder, a behavior associated with Remcos RAT malware. Remcos RAT is known to store audio recordings in this location for data exfiltration. The detection leverages endpoint process and filesystem data to identify this activity. This activity is significant as it indicates potential unauthorized data collection and exfiltration by malware, which could lead to sensitive information being sent to an attacker's command and control server, compromising the affected system's confidentiality.
Detects instances where an SMB service on an OpenCanary honeypot node has received a file open request. This indicates an adversary is interacting with the honeypot's SMB share, potentially attempting to discover or access files.
Detects instances where an SMB service on an OpenCanary node has had a file open request.
Yara rule that detects GomorrahStealer infostealer.
This YARA rule detects the Cicada3301 ransomware by identifying specific byte patterns (signatures) within executable files. The rule looks for distinct code sequences related to enumerating valid drives, recursively collecting files, and encrypting files. It includes multiple parts for file collection and two versions of file encryption routines, indicating a robust detection mechanism for different variants or stages of the ransomware's operation. The presence of these patterns strongly suggests the file is a Cicada3301 ransomware sample.
This YARA rule detects the OrcusRAT backdoor by identifying specific bytecode patterns associated with its functionalities. These functionalities include retrieving TCP connections, gathering operating system information, taking screenshots, extracting passwords, and processing keylogger actions. The rule looks for a combination of these patterns within a file that also has a valid DOS header (MZ signature).
This YARA rule detects the Daolpu infostealer by identifying specific byte patterns related to its core functionalities. These functionalities include network communication, searching for sensitive files on the system, parsing Firefox configuration files, and collecting browser passwords and cookies. The rule requires all these distinct patterns to be present within a file to trigger a detection, aiming to reduce false positives.
Yara rule that detects Daolpu infostealer.
Detects potentially suspicious SQL queries executed via sqlcmd.exe targeting Veeam backup databases. The rule specifically looks for commands that attempt to query sensitive tables such as BackupRepositories, Backups, Credentials, HostCreds, SmbFileShares, Ssh_creds, and VSphereInfo, which could indicate an attempt to steal information from the Veeam backup infrastructure.
Detects the execution of `sqlcmd.exe` with command-line arguments indicative of database enumeration or backup activities, specifically targeting common system databases and processes. This pattern has been associated with Conti ransomware for dumping database contents.
This rule detects the execution of the 'sqlite' or 'sqlite3' binary specifically when it is used to query sensitive data from Chromium-based browser profiles. The detection logic looks for command-line arguments that indicate access to common Chromium user data paths and specific database files containing login data, cookies, web data (credit cards, autofill), history, or bookmarks. This activity is highly indicative of an attempt to steal sensitive user information stored by web browsers.
Detects suspicious process patterns indicative of NTDS.DIT exfiltration attempts. This includes the use of specific tools like NTDSDumpEx, PowerShell scripts (e.g., NTDSgrab.ps1), and command-line utilities (ntdsutil.exe, copy command) to access or copy the ntds.dit file. The rule also looks for these activities originating from suspicious image folders like Apache, Tomcat, AppData, Temp, Public, or PerfLogs.
This rule detects commands commonly used on Cisco network devices to collect configuration data, which may contain sensitive information such as credentials. The commands include 'show running-config' to display the current operational configuration, 'show startup-config' to display the configuration loaded at boot, and 'show archive config' which can show archived configurations. An adversary might use these commands to gather information about the network, discover credentials, or understand the device's security posture.
Detects an attempt to dump credentials from the VeeamBackup database using sqlcmd.exe by querying the 'VeeamBackup.dbo.Credentials' table. This activity is indicative of an attacker trying to extract sensitive information, potentially for lateral movement or further compromise.
Detects suspicious local connections via a named pipe to the AD FS configuration database (Windows Internal Database). This database contains sensitive information used to sign SAML tokens. The rule specifically looks for connections to the '\MICROSOFT##WID\tsql\query' named pipe by processes other than known legitimate AD FS or Windows Internal Database components.
Detects the execution of 7-Zip (7z.exe, 7za.exe, 7zr.exe) to compress files with extensions like '.dmp', '.dump', or '.hdmp'. This activity is often a precursor to data exfiltration, where memory dump files or other sensitive data are compressed for easier transfer.
Detects the usage of the 'sqlite' or 'sqlite3' binaries to query specific database files associated with Firefox and other Gecko-based browsers, such as 'cookies.sqlite' and 'places.sqlite'. This activity is indicative of potential data stealing, particularly targeting browser history, bookmarks, and session cookies.
An attempt to export an AWS EC2 instance has been detected. A VM Export might indicate an attempt to extract information from an instance.
Detect usage of the "sqlite" binary to query databases in Chromium-based browsers for potential data stealing.
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