Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
576 detections
Filters
Last updated
All Time
Detection languages
175
168
120
26
25
Contributors
96
80
79
77
61
Categories
297
296
144
138
69
Platforms
347
214
188
27
21
Products / Services
10,665
9,758
6,692
4,421
3,749
576
MITRE Techniques
286
211
161
144
130
CVEs
23
23
11
6
6
IDS Classtypes
15
1
1
1
1
IDS Protocols
19
Detects suspicious file writes to the root directory of web applications, specifically targeting Apache or Tomcat servers. This activity often indicates an attempt to deploy malicious files like web shells or other unauthorized scripts, potentially after exploiting a public-facing application.
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.
The analytic detects attempts to exploit the Fortinet FortiNAC CVE-2022-39952 vulnerability. It identifies HTTP POST requests to the URI configWizard/keyUpload.jsp with a payload.zip file. This activity indicates an attempt to exploit a known vulnerability, potentially leading to remote code execution. If confirmed malicious, attackers could gain control over the affected system, schedule malicious tasks, and establish persistent access via a remote command and control (C2) server.
The following analytic identifies potential exploitation of the WordPress Bricks Builder plugin RCE vulnerability. It detects HTTP POST requests to the URL path "/wp-json/bricks/v1/render_element" with a status code of 200, leveraging the Web datamodel. This activity is significant as it indicates an attempt to exploit CVE-2024-25600, a known vulnerability that allows remote code execution. If confirmed malicious, an attacker could execute arbitrary commands on the target server, leading to potential full system compromise and unauthorized access to sensitive data.
Detects potential command injection attempts in the body of HTTP POST requests. Attackers, such as those operating the RondoDoX botnet, exploit unsanitized input fields in web interfaces of SOHO routers, IoT devices, and other applications to execute arbitrary commands. This rule looks for common command-line tools and shell characters within the POST body, particularly in requests targeting parameters known to be vulnerable.
This analytic detects instances where web or application server processes (such as Java, Tomcat, Apache, Nginx, Node, Caddy, IIS, PHP) spawn a Linux or Windows shell. This activity is highly indicative of successful exploitation, potentially related to vulnerabilities like Log4Shell (CVE-2021-44228) or Spring4Shell (CVE-2022-22965), leading to unauthorized command execution, privilege escalation, or persistent access. The detection leverages Endpoint Detection and Response (EDR) telemetry, focusing on parent-child process relationships and process names.
Detects Ollama server errors and failures during model loading operations that may indicate malicious model injection, path traversal attempts, or exploitation of model loading mechanisms to achieve remote code execution. Adversaries may attempt to load specially crafted malicious models or exploit vulnerabilities in the model loading process to execute arbitrary code on the server. This detection monitors error messages and failure patterns that could signal attempts to abuse model loading functionality for malicious purposes.
The following analytic identifies the execution of RAR utilities to archive files on a system. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names, GUIDs, and command-line arguments. This activity is significant as threat actors, including red-teamers and malware like DarkGate, use RAR archiving to compress and exfiltrate collected data from compromised hosts. If confirmed malicious, this behavior could lead to the unauthorized transfer of sensitive information to command and control servers, posing a severe risk to data confidentiality and integrity.
Detects data leakage and exfiltration attempts targeting Ollama model metadata and configuration endpoints. Adversaries repeatedly query /api/show, /api/tags, and /api/v1/models to systematically extract sensitive model information including architecture details, fine-tuning parameters, system paths, Modelfile configurations, and proprietary customizations. Multiple inspection attempts within a 15-minute window indicate automated exfiltration of valuable intellectual property such as custom model configurations, system prompts, and internal model specifications. This activity represents unauthorized data disclosure that could enable competitive intelligence gathering, model replication, or preparation for advanced attacks against the AI infrastructure.
Detects the initial access attempt for the Oracle E-Business Suite vulnerability CVE-2025-61882. This involves a crafted POST request to the UiServlet component containing a malicious XML payload.
Detects a variety of HTTP exploitation attempts associated with the RondoDox botnet campaign. This campaign uses a 'shotgun' approach, targeting numerous vulnerabilities in internet-facing devices like routers, DVRs, and web servers.
Detects command execution characteristic of the AntSword web shell's virtual terminal feature. This is identified by a web server process spawning a child process with a specific command-line structure, often involving `cmd.exe` and echoing unique start and end tags (`stag`/`etag`).
Detects attempts to exploit a SQL injection vulnerability (CVE-2025-57819) in FreePBX via a malicious GET request to '/admin/ajax.php'. Attackers leverage this to achieve remote code execution by inserting a malicious cron job.
Detects attempts to exploit multiple vulnerabilities (CVE-2025-52905, CVE-2025-52906, CVE-2025-52907) in TOTOLINK X6000R routers. Attackers can leverage argument injection, unauthenticated command injection, and security bypasses through the '/cgi-bin/cstecgi.cgi' endpoint to achieve remote code execution or denial of service.
Detects the execution of `cmd.exe` originating from common web server processes (w3wp.exe, httpd.exe, tomcat.exe) with command-line arguments indicative of a webshell. This rule specifically looks for `cmd.exe /c` invocations where the command is not one of the common benign commands used by web servers, aiming to catch malicious command execution through a webshell.
Detects the PHP file handler variant of BadIIS, used in the 'Operation Rewrite' campaign for SEO poisoning and traffic redirection.
Detects BadIIS malware variants associated with the 'Operation Rewrite' campaign (CL-UNK-1037). This rule identifies the native IIS module, PHP backdoors, and other related components used for SEO poisoning.
The following analytic identifies attempts to access the Remote ShellServlet on a web server, specifically targeting Confluence servers vulnerable to CVE-2023-22518 and CVE-2023-22515. It leverages web data to detect URLs containing "*plugins/servlet/com.jsos.shell/*" with a status code of 200. This activity is significant as it is commonly associated with web shells and other malicious behaviors, potentially leading to unauthorized command execution. If confirmed malicious, attackers could gain remote code execution capabilities, compromising the server and potentially the entire network.
This analytic detects unexpected outbound network connections initiated by known webserver processes such as `httpd.exe`, `nginx.exe`, or `tomcat.exe` to common file sharing or public content hosting services like GitHub, Discord CDN, Transfer.sh, or Pastebin. Webservers are rarely expected to perform outbound downloads, especially to dynamic or anonymous file hosting domains. This behavior is often associated with server compromise, where an attacker uses a reverse shell, webshell, or injected task to fetch malware or tools post-exploitation. The detection leverages Cisco Network Visibility Module flow data, enriched with process context, to identify this highly suspicious behavior.
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.
Page 21 of 28