Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
20,482 detections
Filters
Last updated
All Time
Detection languages
8,114
7,158
1,351
1,168
1,063
Contributors
4,878
2,724
2,695
2,646
2,356
Categories
20,482
11,866
5,884
5,164
4,867
Platforms
18,085
3,046
1,506
124
104
Products / Services
5,725
4,293
3,715
1,174
958
MITRE Techniques
9,480
7,573
3,458
2,848
2,702
CVEs
36
28
25
21
20
IDS Classtypes
1
Detects execution of common script interpreters (mshta, powershell, cmd, wscript) from typical UI-based process launch sources (explorer, RunDlg) when the command line includes indicators of malicious activity such as hidden window flags, obfuscated content, or remote URL downloads. This pattern is characteristic of ClickFix-style social engineering attacks where users are tricked into copying and executing malicious commands.
Detects the spawning of shells, network utilities, or scripting interpreters from Citrix NetScaler processes (nsppe or httpd), which may indicate post-exploitation activity following an initial access vulnerability.
This rule detects typical behavior associated with infostealers targeting browser data, specifically the creation of compressed archives (.zip, .rar) in temporary directories (Temp or AppData) and the subsequent exfiltration of data via known webhook services (e.g., Discord, Telegram, Pastebin) or direct IP connections. It filters out common signed backup and synchronization software to minimize noise.
Detects anomalous process execution and loopback network activity associated with the Model Context Protocol (MCP) 'exec_in_session' method. This pattern indicates an adversary potentially abusing the AI coding assistant's MCP server capabilities to execute arbitrary commands as a C2 channel.
Detects anomalous process execution and loopback network activity associated with the Model Context Protocol (MCP) 'exec_in_session' method. This pattern indicates an adversary potentially abusing the AI coding assistant's MCP server capabilities to execute arbitrary commands as a C2 channel.
This rule detects instances of 'javaw.exe' executing from unusual directories (e.g., AppData, Temp, Users\Public) while loading a 'jli.dll' file from a related non-standard path, or simultaneously being associated with a scheduled task execution involving 'GlobalTellurSync'. This behavior is indicative of potential DLL side-loading or a persistence mechanism where a legitimate Java executable is repurposed to run malicious code.
This rule performs a multi-source correlation (network, DNS, file, and process telemetry) to detect artifacts associated with the Coruna campaign. It looks for known malicious file hashes (SHA1), C2 IP addresses, and specific domain/URL patterns in process command lines and network connections.
This rule performs a multi-source correlation (network, DNS, file, and process telemetry) to detect artifacts associated with the Coruna campaign. It looks for known malicious file hashes (SHA1), C2 IP addresses, and specific domain/URL patterns in process command lines and network connections.
Detects the execution of known tunneling and reverse proxy tools (ngrok, cloudflared, localtunnel) commonly abused by adversaries to create outbound tunnels for C2, bypass firewalls, or exfiltrate data.
Detects anomalous process execution by PeopleSoft application server processes (e.g., psappsrv, jsvc) immediately following an inbound network request. This behavior is indicative of exploitation of a Java deserialization gadget chain, such as those used by the threat actor UNC6240 to achieve Remote Code Execution (RCE) and spawn command interpreters.
Detects indicators associated with the ChatGPT Custom GPT ClickFix campaign across process, network connection, DNS, and HTTP telemetry: known malicious file hashes, C2 IP addresses, the chattypetty.com domain, and known payload-hosting URLs.
Detects the use of native Windows utilities (vssadmin.exe, wmic.exe, wbadmin.exe, bcdedit.exe) to delete volume shadow copies, backup catalogs, or modify boot configuration data to inhibit system recovery, a common behavior observed during ransomware and wiper attacks.
Detects the deletion of volume shadow copies using common Windows administrative tools such as vssadmin, wmic, and PowerShell. This activity is frequently observed during the pre-encryption stage of ransomware attacks to prevent system restoration.
Detects a sequence of activity where a user receives a high volume of inbound emails (potential vishing or social engineering lures) within a short window, followed by the user executing Windows Remote Assistance or Quick Assist tools within the next 6 hours, which is highly indicative of remote access social engineering pre-cursors.
Detects the use of legitimate data transfer utilities (s5cmd, rclone) configured to exfiltrate sensitive document types (.doc, .pdf, .sql, etc.) to S3-compatible cloud storage. The rule correlates this activity with recent access to files containing sensitive credentials or configuration data, a pattern observed in double-extortion campaigns.
Detects command-line activity attempting to disable, unbind, or remove NetScaler AppFW (Web Application Firewall) profiles, signatures, or security policies. This activity is indicative of defense evasion following the exploitation of CVE-2026-88771 or CVE-2026-88772 to suppress security alerting on follow-on malicious activity.
Detects command-line activity on a NetScaler appliance indicative of defense evasion by truncating, deleting, or disabling audit logs (ns.log) and syslog forwarding services. This activity often follows the exploitation of public-facing application vulnerabilities where an attacker seeks to hide their presence.
Detects the 2CLoader malware dropping and executing a payload from user-writable directories such as Temp or Downloads. The rule identifies suspicious process lineage by checking for a parent-process spoofing scenario where the reported parent is explorer.exe, but the actual initiator is a different process, excluding common legitimate installer filenames to reduce noise.
Detects the execution of a ScreenConnect installer executable followed by the deployment or startup of its associated client components (WindowsClient.exe or ClientService.exe) within a 30-minute window on the same device. This rule is designed to identify the unauthorized installation or deployment of remote access software.
This rule detects the execution of node.exe or a specific binary named 'ProfileQuickHost.exe' spawned by wscript.exe. This activity is indicative of a VBScript-based loader (often referred to as 'ChainScript') executing a staged Node.js RAT or secondary payload from user-writable application folders (AppData).
A July 2026 incident used Polygon smart contracts (EtherHiding) for dynamic payload routing/C2 following a ClickFix/FileFix-style lure driven by compromised WordPress credentials.
Page 32 of 976