Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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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 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.
The analytic detects the Microsoft Software Licensing User Interface Tool (`slui.exe`) spawning a child process. This behavior is identified using Endpoint Detection and Response (EDR) telemetry, focusing on process creation events where `slui.exe` is the parent process. This activity is significant because `slui.exe` should not typically spawn child processes, and doing so may indicate a UAC bypass attempt, leading to elevated privileges. If confirmed malicious, an attacker could leverage this to execute code with elevated privileges, potentially compromising the system's security and gaining unauthorized access.
The following analytic identifies the execution of the rundll32.exe process with the "plugininit" parameter. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process creation events and command-line arguments. This activity is significant because the "plugininit" parameter is commonly associated with IcedID malware, which uses it to execute an initial DLL stager to download additional payloads. If confirmed malicious, this behavior could lead to further malware infections, data exfiltration, or complete 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 process executions that exhibit patterns commonly associated with China Chopper-like tiny webshells, specifically when they are spawned by the w3wp.exe process (IIS worker process). The detection logic looks for specific command-line arguments that include common discovery and system information commands such as 'ipconfig', 'quser', 'whoami', 'c:', 'cd', 'dir', and echo commands, often used by webshells to interact with the compromised system.
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 patterns found in process executions cause by China Chopper like tiny (ASPX) webshells
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 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.
This rule detects command-line activity that attempts to access sensitive Microsoft Teams files, specifically the Cookies or Local Storage\leveldb directories. These locations can contain authentication tokens and other sensitive information. The rule specifically looks for processes other than the legitimate Teams.exe accessing these paths, indicating potential credential theft or unauthorized access.
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.
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