Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
576 detections
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This analytic detects Log4Shell JNDI payload injections via outbound connections. It identifies suspicious LDAP lookup functions in web logs, such as `${jndi:ldap://PAYLOAD_INJECTED}`, and correlates them with network traffic to known malicious IP addresses. This detection leverages web and network traffic data to identify attempts to exploit the Log4j vulnerability (CVE-2021-44228), which could lead to remote code execution and system compromise.
The analytic identifies malicious HTTP requests targeting the jmx-console in JBoss servers. It detects unusually long URLs, indicative of embedded payloads, by analyzing web server logs for GET or HEAD requests with specific URL patterns and lengths. This activity is significant as it may indicate an attempt to exploit JBoss vulnerabilities, potentially leading to unauthorized remote code execution. If confirmed malicious, attackers could gain control over the server, escalate privileges, and compromise sensitive data, posing a severe threat to the organization's security.
This analytic identifies unauthenticated access attempts to the System Manager Portal in Ivanti Sentry, exploiting CVE-2023-38035. It detects this activity by monitoring HTTP requests to specific endpoints ("/mics/services/configservice/*", "/mics/services/*", "/mics/services/MICSLogService*") with a status code of 200. This behavior is significant for a SOC as it indicates potential unauthorized access, which could lead to OS command execution as root. If confirmed malicious, this activity could result in significant system compromise and data breaches, especially if port 8443 is exposed to the internet.
The following analytic detects potential exploitation of the Adobe ColdFusion vulnerability, CVE-2023-26360, which allows unauthenticated arbitrary file read. It monitors web requests to the "/cf_scripts/scripts/ajax/ckeditor/*" path using the Web datamodel, focusing on specific ColdFusion paths to differentiate malicious activity from normal traffic. This activity is significant due to the vulnerability's high CVSS score of 9.8, indicating severe risk. If confirmed malicious, it could lead to unauthorized data access, further attacks, or severe operational disruptions, necessitating immediate investigation.
The following analytic detects potentially malicious file upload attempts to Citrix ShareFile via specific suspicious URLs and the HTTP POST method. It leverages the Web datamodel to identify URL patterns such as "/documentum/upload.aspx?parentid=", "/documentum/upload.aspx?filename=", and "/documentum/upload.aspx?uploadId=*", combined with the HTTP POST method. This activity is significant for a SOC as it may indicate an attempt to upload harmful scripts or content, potentially compromising the Documentum application. If confirmed malicious, this could lead to unauthorized access, data breaches, and operational disruptions.
The following analytic identifies specific GET or HEAD requests to web servers that indicate reconnaissance attempts to find vulnerable JBoss servers. It leverages data from the Web data model, focusing on HTTP methods and URLs associated with JBoss management interfaces. This activity is significant because it often precedes exploitation attempts using tools like JexBoss, which can compromise the server. If confirmed malicious, attackers could gain unauthorized access, execute arbitrary code, or escalate privileges, leading to potential data breaches and system compromise.
The analytic detects attempts to exploit the ConnectWise ScreenConnect CVE-2024-1709 vulnerability, which allows attackers to bypass authentication via an alternate path or channel. It leverages web request logs to identify access to the SetupWizard.aspx page, indicating potential exploitation. This activity is significant as it can lead to unauthorized administrative access and remote code execution. If confirmed malicious, attackers could create administrative users and gain full control over the affected system, posing severe security risks. Immediate remediation by updating to version 23.9.8 or above is recommended.
The following analytic identifies unusually long strings in the Content-Type HTTP header sent by the client to the server. It uses data from the Stream:HTTP source, specifically evaluating the length of the `cs_content_type` field. This activity is significant because excessively long Content-Type headers can indicate attempts to exploit vulnerabilities or evade detection mechanisms. If confirmed malicious, this behavior could allow attackers to execute code, manipulate data, or bypass security controls, potentially leading to unauthorized access or data breaches.
The following analytic identifies URL requests associated with CVE-2022-22965 (Spring4Shell) exploitation attempts, specifically targeting webshell access on a remote webserver. It detects HTTP GET requests with URLs containing ".jsp?cmd=" or "j&cmd=" patterns. This activity is significant as it indicates potential webshell deployment, which can lead to unauthorized remote command execution. If confirmed malicious, attackers could gain control over the webserver, execute arbitrary commands, and potentially escalate privileges, leading to severe data breaches and system compromise.
This analytic detects potential exploitation attempts against VMWare vRealize Network Insight, specifically targeting the CVE-2023-20887 vulnerability. It monitors web traffic for HTTP POST requests directed at the vulnerable endpoint "/saas./resttosaasservlet." Identifying this behavior is crucial for a SOC as it indicates an active exploit attempt. If confirmed malicious, the attacker could execute arbitrary code, leading to unauthorized access, data theft, or further network compromise.
This rule detects suspicious command-line activity originating from common web server processes, indicative of web shell usage for reconnaissance and system interaction. It looks for specific utilities and command-line arguments often used by attackers to discover system information, user accounts, network configurations, and execute arbitrary commands through a compromised web server.
Detects certain parent child patterns found in cases in which a web shell is used to perform certain credential dumping or exfiltration activities on a compromised system
Detects potential exploitation of CVE-2024-1212, an unauthenticated command injection vulnerability in Progress Kemp LoadMaster. The rule specifically looks for GET requests to the '/access/set' API with the parameters 'param=enableapi' and 'value=1', combined with an "Authorization" header containing a base64 encoded value with uncommon characters, indicative of an attempted exploit.
Detects potential exploitation attempts of CVE-2023-4966, a Citrix ADC and NetScaler Gateway sensitive information disclosure vulnerability. The rule specifically looks for GET requests to '/oauth/idp/.well-known/openid-configuration' that result in a 200 HTTP status code, indicating a successful attempt to access this specific endpoint which is part of the vulnerability exploitation chain.
Detects exploitation attempts of CVE-2023-4966, a Citrix ADC and NetScaler Gateway sensitive information disclosure vulnerability. The rule specifically looks for GET requests to '/oauth/idp/.well-known/openid-configuration' with an unusually long 'cs-host' header string, which is characteristic of the exploit.
Detects exploitation attempts of the OWASSRF vulnerability targeting Microsoft Exchange servers using publicly available Proof-of-Concept (POC) code. This exploit leverages the Outlook Web Access (OWA) endpoint to gain access to the PowerShell backend endpoint, indicated by specific URI patterns, HTTP method, user-agent, and a successful HTTP status code.
Detects exploitation attempts of CVE-2023-46214, a remote code execution (RCE) vulnerability in Splunk Enterprise. The rule specifically looks for patterns associated with known public proof-of-concept (POC) code that leverages insecure XML parsing. It identifies POST requests to specific Splunk API endpoints (`/splunkd/__upload/indexing/preview` or `/api/search/jobs/results`) with particular URI query parameters (`NO_BINARY_CHECK=1`, `input.path=shell.xsl`, `/opt/splunk/var/run/splunk/dispatch/`, `/shell.xsl`) that indicate an attempt to upload and execute a malicious XSL stylesheet.
Detects exploitation attempts of CVE-2023-22518, an improper authorization vulnerability in Confluence Data Center and Server. Attackers can exploit vulnerable endpoints to create admin accounts or execute arbitrary commands. The rule specifically looks for POST requests to known vulnerable URIs associated with setup and restore functionalities.
Detects GET requests to specific files ('/human2.aspx' or '/_human2.aspx') that are known indicators of exploitation attempts targeting the MOVEit Transfer vulnerability CVE-2023-34362. These requests are typically associated with web shell deployment or interaction after initial compromise.
Detects potential exploitation of CVE-2023-46214, a remote code execution (RCE) vulnerability in Splunk Enterprise. The rule looks for specific HTTP POST requests containing 'NO_BINARY_CHECK=1' and 'input.path' in the URI query, ending with '.xsl', and resulting in a 200 or 302 HTTP status code. These patterns are indicative of an attempt to leverage the insecure XML parsing vulnerability.
Detects exploitation attempts targeting the VMware vCenter Server using the file upload vulnerability CVE-2021-22005. The rule specifically looks for POST requests to the '/analytics/telemetry/ph/api/hyper/send?' URI, which is indicative of an attempt to leverage this vulnerability for file upload.
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