Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
7,128 detections
Filters
Last updated
All Time
Detection languages
3,206
1,086
504
478
469
Contributors
1,824
1,607
872
505
300
Categories
2,966
2,465
1,059
1,020
903
Platforms
39,752
7,128
6,517
3,847
3,595
Products / Services
1,324
1,059
969
657
487
MITRE Techniques
2,223
1,317
1,309
872
870
CVEs
66
65
33
32
28
IDS Classtypes
81
80
56
27
10
IDS Protocols
149
98
6
5
4
This rule detects modifications or creation of files named 'crond' in standard system paths ('/usr/bin' or '/usr/sbin') that occur within a 4-second window of an 'ssh' binary file event. This pattern is indicative of potential persistence establishment where an adversary replaces or modifies a system daemon while simultaneously interacting with SSH services.
Detects instances where common web server applications (e.g., Apache, Tomcat, IIS, Nginx) or Java runtime environments spawn suspicious child processes like command shells (cmd.exe, powershell.exe, sh, bash) or network utilities (wget, curl). This behavior often indicates exploitation of a web vulnerability, such as Remote Code Execution (RCE), allowing an adversary to execute commands or download further malicious payloads.
This rule detects either the execution of a specific SSH daemon binary known to be trojanized or the creation/modification of files within the /var/lib/sshd/ directory, which is a common indicator of backdoor persistence or credential theft targeting SSH sessions.
Detects network connections from common Linux system binaries (agetty, atd, polkitd, crond) to identified suspicious external domains. These binaries typically do not communicate with external internet services, suggesting potential process masquerading or compromise.
Detects the creation or modification of files within the /tmp directory that follow a specific naming convention (t[number]_w.pipe) by an HAProxy process. This pattern is often associated with inter-process communication or potential post-exploitation activity where HAProxy is leveraged to handle named pipes for malicious command execution or data redirection.
Detects network requests to unpkg.com or npmmirror for 'index.html' files directly under a package path. This behavior deviates from standard package management usage (which typically fetches tarballs or specific JavaScript modules) and is often associated with adversaries using npm packages as hosting infrastructure for phishing landing pages.
Detects incoming Grafana API requests directed at vulnerable mcp-grafana server instances identified by an outdated version (pre-1.1.0). This rule correlates host-level version discovery with application-layer logs containing suspicious 'grafana_api_request' method calls, which may indicate an attempt to exploit Server-Side Request Forgery (SSRF) vulnerabilities.
Detects the creation of tar archives within the Coder database during a specific window associated with rogue IP activity, where the file creation was performed by a system-level process.
Detects potential remote service session hijacking by monitoring for RDP session ID reuse by a different user or unauthorized SSH session reattachment (e.g., tmux/screen hijacking). It correlates logon events with process execution to identify instances where an existing session is accessed by an account other than the original owner, while excluding legitimate service/support account activity.
This rule detects attempts to modify file or directory permissions (e.g., using icacls, takeown, chmod, or chown) on paths associated with known security products. Such activity is often indicative of an adversary attempting to tamper with, disable, or exclude security tools from logging or inspection.
Detects a sequence of suspicious behaviors on a single host within a 1-hour window, indicative of an adversary establishing a foothold and preparing for malicious activity. The pattern involves: 1) System architecture discovery, 2) Downloading files from an external IP address, 3) Changing permissions of files in temporary directories (e.g., /tmp, /var/tmp, /dev/shm), and 4) Executing files directly from those same temporary directories.
This rule detects the creation of a .groovy file within a plugin directory related to JFrog Artifactory, followed by the execution of suspicious child processes (e.g., shell, curl, wget) by the Artifactory process within a short timeframe. This behavior is indicative of an attacker attempting to achieve remote code execution by deploying a malicious plugin.
Detects reconnaissance commands (e.g., file listing, directory enumeration) executed as child processes of the JFrog Artifactory service. This behavior is often associated with the exploitation of Artifactory plugins or misconfigured endpoints that allow arbitrary code execution, enabling an attacker to perform discovery actions.
Detects successful authentication attempts to a LiteLLM proxy instance using the hardcoded default master key 'sk-1234'. This activity indicates potential exploitation of misconfigured instances where default credentials remain unchanged.
Detects instances where LiteLLM, or related Python application processes (uvicorn, python), spawn a shell or command-line utility (bash, sh, id) under the root user account. This behavior is indicative of potential container breakout, application exploitation, or privilege escalation attempts originating from a web-accessible service.
Detects credential harvesting behavior originating from known malicious RubyGems packages (pwnp999, exfiltestwand3, hacksvn1778554764) observed in RubyDoc.info build environments. The rule monitors process execution and file access activity involving these packages where the command line or file path includes patterns associated with credential theft (e.g., 'api_key', 'Authorization'), scoped to Ruby-related tooling such as 'ruby', 'gem', or 'bundle'.
Detects credential harvesting behavior originating from known malicious RubyGems packages (pwnp999, exfiltestwand3, hacksvn1778554764) observed in RubyDoc.info build environments. The rule monitors process execution and file access activity involving these packages where the command line or file path includes patterns associated with credential theft (e.g., 'api_key', 'Authorization'), scoped to Ruby-related tooling such as 'ruby', 'gem', or 'bundle'.
Detects the registration of browser service workers from suspicious sources. Service workers can be used to maintain persistence, intercept network requests, or perform browser-based man-in-the-middle attacks. This rule specifically alerts on service workers initialized with 'blob:' URIs or those originating from the suspicious 'cdn.bloom.io' domain.
Detects Git checkout operations involving specific SHA hash arguments that occur in conjunction with potential ambiguous refname errors, or are initiated by processes commonly used for AI-assisted coding (e.g., Copilot, Claude). This rule monitors for potentially malicious source code repository manipulation or automated branch hijacking attempts, often seen in supply chain or development environment attacks.
This rule detects processes accessing sensitive credential, configuration, or environment files typically stored in locations like .aws, .ssh, .kube, or application user directories. It alerts when a non-standard or unexpected process touches multiple sensitive folders, or when specific suspicious process names or known malicious tools (such as 'NeedleStealer') are observed interacting with these files. This is indicative of potential credential harvesting or reconnaissance activities.
This rule detects processes accessing sensitive credential, configuration, or environment files typically stored in locations like .aws, .ssh, .kube, or application user directories. It alerts when a non-standard or unexpected process touches multiple sensitive folders, or when specific suspicious process names or known malicious tools (such as 'NeedleStealer') are observed interacting with these files. This is indicative of potential credential harvesting or reconnaissance activities.
Page 91 of 340