Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
896 detections
Filters
Last updated
All Time
Detection languages
281
252
167
85
36
Contributors
186
165
115
89
73
Categories
272
249
213
183
162
Platforms
877
18
11
6
4
Products / Services
10,665
9,773
6,705
4,421
3,749
896
MITRE Techniques
455
268
245
192
132
CVEs
17
6
4
4
4
IDS Classtypes
4
1
IDS Protocols
4
This analytic detects suspicious data transfer activities involving the use of the `split` syscall with the `-b` option, which specifies the size of each output file. This technique can be used by attackers to evade detection by breaking large files into smaller parts, bypassing size-based security controls, and facilitating covert exfiltration of sensitive data. By monitoring for unusual or unauthorized use of the `split` syscall with a specified block size, this analytic helps identify potential data exfiltration attempts.
This analytic identifies the bulk creation of ransomware notes (e.g., .txt, .html, .hta files) on an infected machine. It leverages Sysmon EventCode 11 to detect multiple instances of these file types being created within a short time frame (10 seconds). A detection is triggered if 15 or more unique readme paths are observed. This activity is a strong indicator of an active ransomware attack, where the attacker is notifying the victim of the encryption. If confirmed malicious, this behavior could lead to widespread data encryption, rendering critical files inaccessible and potentially causing significant operational disruption.
The following analytic detects suspicious attempts to find credentials stored in password stores, indicating a potential attacker's effort to access sensitive login information. Password stores are critical repositories that contain valuable credentials, and unauthorized access to them can lead to significant security breaches. By monitoring for unusual or unauthorized activities related to password store access, this analytic helps identify potential credential theft attempts, allowing security teams to respond promptly and prevent unauthorized access to critical systems and data.
This analytic detects the suspicious termination of known services commonly targeted by ransomware before file encryption. It leverages Windows System Event Logs (EventCode 7036) to identify when critical services such as Volume Shadow Copy, backup, and antivirus services are stopped. This activity is significant because ransomware often disables these services to avoid errors and ensure successful file encryption. If confirmed malicious, this behavior could lead to widespread data encryption, rendering files inaccessible and potentially causing significant operational disruption and data loss.
This analytic detects the use of PowerShell commands to add or set exclusions in Windows Defender. It specifically looks for command-line executions containing "Add-MpPreference" or "Set-MpPreference" along with exclusion parameters such as "-Exclusion*", "-ControlledFolderAccessAllowedApplications*", or "-AttackSurfaceReductionOnlyExclusions*". Adversaries commonly use this technique to bypass Windows Defender's protections, allowing malicious code to execute undetected, maintain persistence, and perform further malicious activities without interference from the antivirus.
The following analytic detects the creation of files in the Windows %startup% folder, a common persistence technique. It leverages the Endpoint.Filesystem data model to identify file creation events in this specific directory. This activity is significant because adversaries often use the startup folder to ensure their malicious code executes automatically upon system boot or user logon. If confirmed malicious, this could allow attackers to maintain persistence on the host, potentially leading to further system compromise and unauthorized access to sensitive information.
The following analytic detects the loading of drivers from suspicious paths, which is a technique often used by malicious software such as coin miners (e.g., xmrig). It leverages Sysmon EventCode 6 to identify drivers loaded from non-standard directories. This activity is significant because legitimate drivers typically reside in specific system directories, and deviations may indicate malicious activity. If confirmed malicious, this could allow an attacker to execute code at the kernel level, potentially leading to privilege escalation, persistence, or further system compromise.
This rule detects the presence of known malicious drivers (hlpdrv.sys, rwdrv.sys) by their SHA256 hash or file path. It also identifies attempts to install these drivers via service creation commands and monitors for modifications to Windows Defender registry keys that could disable its functionality, indicating defense evasion.
Detects PowerShell commands that attempt to modify Windows Defender preferences to add exclusions for paths, extensions, or processes. This activity is often indicative of an adversary attempting to disable or bypass security controls. Also seen by XWorm Malware.
The following analytic identifies the creation of executables or scripts in suspicious file paths on Windows systems. It leverages the Endpoint.Filesystem data model to detect files with specific extensions (e.g., .exe, .dll, .ps1) created in uncommon directories (e.g., \windows\fonts\, \users\public\). This activity is significant as adversaries often use these paths to evade detection and maintain persistence. If confirmed malicious, this behavior could allow attackers to execute unauthorized code, escalate privileges, or persist within the environment, posing a significant security threat.
Detects PowerShell being used to modify Group Policy Objects (GPOs) to disable Windows Defender security features. This technique is used by threat actors like Storm-2603 for defense evasion.
Detects attempts to tamper with autologger trace sessions by modifying specific registry values. This technique is often used by attackers to disable or impair logging, particularly for Windows Event Log and Windows Defender related logs, to evade detection.
Detects the deletion of a registry key responsible for the 'Scan with Defender' option in the Windows context menu. Attackers may delete this key to hinder users from easily scanning suspicious files, thereby weakening defenses.
Detects Olymp Loader defense evasion techniques, such as disabling Windows Defender features or adding broad folder exclusions via PowerShell, and the execution of a known 'Defender Remover' tool.
Detects suspicious usage of MpCmdRun.exe, the Microsoft Defender command-line utility, to potentially steal NTLM credentials. This rule specifically looks for MpCmdRun.exe being executed with parameters related to scanning or exclusion checking, combined with attempts to access remote UNC paths (\\). This behavior can indicate an adversary attempting to force NTLM authentication to a controlled server to capture hashes.
This rule detects the execution of 'comp.exe' with any command-line arguments. This activity can be indicative of NTLM coercion attempts, where an attacker forces a target machine to authenticate to a malicious server to capture and potentially crack the NTLM hash.
This rule identifies unusual activity from locations not previously observed for a user within a defined lookback period. It leverages Microsoft Entra ID (Azure AD) Behavior Analytics and SigninLogs to baseline legitimate user locations and filter out trusted devices/IPs. The rule flags unusual activity where the source IP location is new for the user and exceeds a configurable threshold of 'unusual' behavior indicators, while also excluding specified trusted countries.
This analytic detects the configuration of TFTP services on Cisco IOS devices that could be used to exfiltrate sensitive configuration files. Threat actors like Static Tundra have been observed configuring TFTP servers to make device configuration files accessible for exfiltration after gaining initial access. The detection specifically looks for commands that expose critical configuration files such as startup-config, running-config, and other sensitive system information through TFTP. This activity is particularly concerning as it may represent an attempt to steal credentials, network topology information, and other sensitive data stored in device configurations.
Detects scenarios where a same threat is detected on different hosts in a short period of time
Detects scenarios where multiple suspicious threats are detected on a single host
Detects scenarios where Defender signatures are outdated.
Page 33 of 43