Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
57 detections
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Detects usage of ntdsutil.exe with arguments designed to dump the Active Directory database (NTDS.dit) and the use of netsh.exe for establishing covert port forwarding. These are known 'Living-off-the-Land' (LotL) techniques observed in campaigns attributed to the threat actor Volt Typhoon.
Detects the presence of self-signed TLS certificates with the common name 'JDYFJ' in the certificate subject or issuer fields. This pattern has been associated with the KV-Botnet, which has been utilized by the Volt Typhoon threat actor to obfuscate command and control traffic through compromised SOHO routers.
Detects outbound network connections to common Tor relay and exit ports (9001, 9050) initiated by processes other than authorized Tor clients. This activity is often associated with threat actors, including Volt Typhoon, using Tor to obfuscate command-and-control (C2) traffic.
Detects the execution of MAVInject.exe (Microsoft Application Virtualization Injector) with the /INJECTRUNNING parameter, a technique used to inject malicious code into a running process to evade detection.
Detects anomalous network traffic patterns from SOHO/IoT and edge devices indicative of Tor-based C2 communication, including DNS queries for .onion domains, outbound connections to known Tor relay ports, and high-volume encrypted traffic over non-standard high-range ports.
Detects a suspected exploitation of CVE-2026-35616 on edge/SOHO devices, followed within 5 minutes by the download of an architecture-specific MIPS dropper via curl or wget, a behavior consistent with known threat activity such as the Volt Typhoon/JDY Botnet.
Detects Tycoon 2FA AitM using unique, high-entropy URL paths with low request counts
Detects the execution of MAVInject.exe (Microsoft Application Virtualization Injector) with the /INJECTRUNNING parameter, a technique used to inject malicious code into a running process to evade detection.
Detects many unique, high-entropy URL paths that each receive a small number of requests before redirecting to authentication. This behavior is indicative of adversaries like Volt Typhoon (Tycoon) using one-time session paths for each victim in phishing campaigns.
Detects a browser session requesting a device code and repeatedly polling the token endpoint while the victim completes authentication elsewhere. This behavior is indicative of an adversary using a device code phishing technique, often associated with the Tycoon threat actor.
Detects high-velocity queries to Graph API regarding transitiveRoleAssignments, a Tycoon 2FA post-compromise activity. This activity is indicative of reconnaissance for role assignments within Microsoft Graph, potentially by an adversary like Volt Typhoon (Tycoon 2FA).
Detects Tycoon 2FA operator recon assessing mailbox forwarding rules, auto-replies, and timezones. This KQL query identifies actions related to 'mailboxSettings' within 'Microsoft Graph' events, which can indicate an adversary enumerating user mailbox configurations.
This rule identifies rapid, multi-category reconnaissance activity against the Microsoft Graph API. It specifically looks for bursts of 20 or more requests across 4 or more unique Graph API endpoints within a one-minute window, particularly when those requests include parameters like '$top=999', '$count=true', or target '/beta/' endpoints, which are indicative of attempts to extract maximum data or use less common API versions. This behavior is typified by threat actors like Tycoon 2FA operators.
Detects living-off-the-land (LotL) activity associated with Volt Typhoon, specifically the use of 'netsh.exe' to configure port forwarding (portproxy), which is used for lateral movement and C2 tunneling.
The following analytic detects the behavior of dumping credentials from memory by exploiting the Local Security Authority Subsystem Service (LSASS) using the comsvcs.dll and MiniDump via rundll32. This detection leverages process information from Endpoint Detection and Response (EDR) logs, focusing on specific command-line executions. This activity is significant because it indicates potential credential theft, which can lead to broader system compromise, persistence, lateral movement, and privilege escalation. If confirmed malicious, attackers could gain unauthorized access to sensitive information, leading to data theft, ransomware attacks, or other damaging outcomes.
This rule detects the use of 'wmic.exe' to perform system disk and volume reconnaissance. Specifically, it looks for command-line arguments related to querying volume names, logical disks, and general volume information. This activity has been observed in campaigns by threat actors such as Volt Typhoon.
Detects attempts to harvest credentials by enabling the RemoteRegistry service or dumping the SAM, SECURITY, or SYSTEM registry hives, which are behaviors associated with the Flax Typhoon APT group.
This analytic identifies processes launching netsh.exe, a command-line utility used to modify network configurations. It detects this activity by analyzing data from Endpoint Detection and Response (EDR) agents, focusing on process GUIDs, names, parent processes, and command-line executions. This behavior is significant because netsh.exe can be exploited to execute malicious helper DLLs, serving as a persistence mechanism. If confirmed malicious, an attacker could gain persistent access, modify network settings, and potentially escalate privileges, posing a severe threat to the network's integrity and security.
The following analytic detects PowerShell processes initiated with parameters that bypass the local execution policy for scripts. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions containing specific flags like "-ex" or "bypass." This activity is significant because bypassing execution policies is a common tactic used by attackers to run malicious scripts undetected. If confirmed malicious, this could allow an attacker to execute arbitrary code, potentially leading to further system compromise, data exfiltration, or persistent access within the environment.
The following analytic identifies processes running from file paths within the ProgramData directory, a common location abused by adversaries for executing malicious code while evading detection. Threat actors often drop and execute payloads from this directory to bypass security controls, as it typically has write permissions for standard users. While this behavior can indicate malware execution or persistence techniques, it is important to note that some legitimate software, installers, and update mechanisms also run from ProgramData, leading to potential false positives. Security teams should validate detections by correlating with other indicators, such as unusual parent processes, unsigned binaries, or anomalous network activity.
The following analytic identifies processes running from %temp% directory file paths. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on specific process paths within the Endpoint data model. This activity is significant because adversaries often use unconventional file paths to execute malicious code without requiring administrative privileges. If confirmed malicious, this behavior could indicate an attempt to bypass security controls, leading to unauthorized software execution, potential system compromise, and further malicious activities within the environment.
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