Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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The analytic detects attempts to exploit the CVE-2023-42793 vulnerability in JetBrains TeamCity On-Premises. It identifies suspicious POST requests to /app/rest/users/id:1/tokens/RPC2, leveraging the Web datamodel to monitor specific URL patterns and HTTP methods. This activity is significant as it may indicate an unauthenticated attacker attempting to gain administrative access via Remote Code Execution (RCE). If confirmed malicious, this could allow the attacker to execute arbitrary code, potentially compromising the entire TeamCity environment and leading to further unauthorized access and data breaches.
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 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.
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.
Detects a non-browser process interacting with the Google API which could indicate the use of a covert C2 such as Google Sheet C2 (GC2-sheet). The rule specifically looks for connections to Google API domains from processes that are not common web browsers or Google-related applications, aiming to identify potentially malicious command and control activity.
This rule detects indicators of potential exploitation of CVE-2023-27997, a critical Fortigate SSL VPN vulnerability. It specifically looks for GET or POST requests to '/remote/hostcheck_validate' or '/remote/logincheck' URIs that also contain the 'enc=' parameter in the query string. These patterns are associated with attempts to exploit the vulnerability.
This rule detects a suspicious sequence of events: a process launching with a low prevalence executable (meaning it's rarely seen in the environment) followed by that same process initiating an HTTP connection to a low prevalence domain (a domain rarely accessed in the environment) within a 10-minute window. This combination can indicate the execution of novel or custom malware attempting to establish command and control or exfiltrate data to an unusual destination.
This rule detects DNS queries for domains that contain a specific string (e.g., a company name) and are not registered with an approved domain registrar. It leverages WHOIS data to identify potentially malicious typosquatting domains that have been recently registered or observed. The rule specifically looks for DNS queries where the domain name matches a defined pattern (e.g., 'threatpunter') and the WHOIS information indicates a registrar other than the approved one ('MarkMonitor Inc.'). Additionally, it checks if the domain was first seen in the environment within the last 30 days, indicating a new or suspicious registration.
Detects exploitation activity of CVE-2023-46747, an unauthenticated remote code execution vulnerability in F5 BIG-IP. The rule looks for specific POST requests to '/mgmt/tm/util/bash' containing keywords related to form submission and user creation within the F5 BIG-IP Traffic Management User Interface (TMUI).
This rule identifies outbound network connections where the destination IP address is geo-located to a specific country, which is configured as 'France' in this instance. It can be adapted to monitor traffic to any country of interest. The rule itself does not specify malicious behavior but flags network communication to a particular geographic region. This could be indicative of potential data exfiltration, command and control (C2) communication, or unauthorized access attempts if the country is considered high-risk or unusual for the organization's normal operations.
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 activity targeting CVE-2023-46747, an unauthenticated remote code execution vulnerability in F5 BIG-IP. The rule specifically looks for POST requests to '/mgmt/tm/util/bash' containing hex-encoded or plain text strings related to '/tmui/Control/form' and 'form_page=%2ftmui%2fsystem%2fuser%2fcreate.jsp', which are indicators of the exploit attempting to create a new user.
Detects potential exploitation attempt of CVE-2023-4966, a Citrix ADC and NetScaler Gateway sensitive information disclosure vulnerability, via proxy logs. This vulnerability allows for the disclosure of sensitive information, such as session tokens.
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-2023-4966, a Citrix ADC and NetScaler Gateway sensitive information disclosure vulnerability. The detection logic specifically looks for GET requests to '/oauth/idp/.well-known/openid-configuration' with an unusually long host header string (150 characters or more) in proxy logs. This pattern is indicative of the 'Citrix Bleed' exploit.
Detects GET requests to '/SetupWizard.aspx/[anythinghere]' that indicate exploitation of the ScreenConnect vulnerability CVE-2024-1709, which is an authentication bypass vulnerability.
Detects exploitation attempts of CVE-2023-22518 in Confluence Data Center and Confluence Server. This vulnerability allows an attacker to exploit specific endpoints to potentially create administrator accounts and execute arbitrary commands. The rule identifies POST requests to known vulnerable URIs associated with setup and restore actions, or server information, which are indicative of an exploitation attempt.
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.
Domain Prevalence
YARA-L
Detects DNS events querying domains that have a low rolling max prevalence.
Suspicious ASN
YARA-L
Identify network traffic based on a specific ASN
Detects suspicious user agent strings commonly used by exploit and penetration testing frameworks such as Metasploit, Cobalt Strike, Empire, and Havoc. These user agents often mimic legitimate browsers or applications but contain specific patterns that indicate their use by these tools. The rule is designed to identify command and control (C2) communication or initial access attempts originating from these frameworks by analyzing proxy logs.
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