Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects exploitation attempts targeting Oracle WebLogic servers using the CVE-2020-14882 vulnerability. The rule specifically looks for URI query patterns indicative of directory traversal attempts used in the exploit.
This rule detects attempts to exploit the ProxyLogon vulnerability (CVE-2021-26858) against Microsoft Exchange Server. Specifically, it looks for POST requests to '/ecp/DDI/DDIService.svc/SetObject' with query parameters indicating a 'schema=Reset' and 'VirtualDirectory' operation, combined with a username ending in '$', which is characteristic of the Server-Side Request Forgery (SSRF) phase of the attack used to manipulate virtual directories.
This rule detects suspicious error messages generated by various SQL database systems (Oracle, MySQL, SQL Server, SQLite) that are indicative of an attempted SQL injection attack. The rule looks for specific syntax error messages that are commonly returned when an attacker probes for SQL injection vulnerabilities.
Detects exploits that leverage CVE-2017-11882 by monitoring for the execution of EQNEDT32.EXE as a parent process, which is indicative of the vulnerability being exploited to launch further malicious processes like mshta.exe.
This rule detects when a USB device is plugged in or unplugged by monitoring specific event IDs from the Microsoft-Windows-DriverFrameworks-UserMode/Operational event log. Event ID 2003 indicates driver loading, while Event IDs 2100 and 2102 relate to Plug and Play (PnP) or power management events, which are typically generated when a USB device is connected or disconnected.
This rule detects when an external disk drive or a USB mass storage device is recognized by the system. It specifically looks for Windows Security Event ID 6416, which indicates that a new external device was recognized, and further filters for devices classified as 'DiskDrive' or with the description 'USB Mass Storage Device'. This can be an indicator of initial access, data exfiltration, or the introduction of malicious software via removable media.
This rule detects the use of the OAuth 2.0 device code authentication flow within an environment. While legitimate for input-constrained devices, its presence in other scenarios warrants investigation as it could indicate a misconfigured application or malicious activity. The rule specifically looks for "Device Code" in Azure sign-in logs.
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.
This rule detects exploitation attempts against the Log4j RCE vulnerability, also known as Log4Shell (CVE-2021-44228). It looks for various JNDI (Java Naming and Directory Interface) lookup patterns, including LDAP, RMI, LDAPS, DNS, NIS, NDS, CORBA, and IIOP, as well as obfuscated forms of these patterns, which are commonly used to trigger the vulnerability. The rule specifically filters out known vulnerability scanning traffic from Nessus to reduce false positives.
Detects attempts to exploit the Grafana path traversal vulnerability (CVE-2021-43798) by looking for specific path traversal sequences combined with requests to known Grafana plugin directories that result in a successful HTTP status code (200).
This rule detects potential SQL injection attempts by looking for common SQL injection strings and keywords within the URI of GET requests in web server access logs. It specifically targets patterns often used to extract database information, bypass authentication, or execute arbitrary SQL commands.
Detects exploitation attempts against the Log4j RCE vulnerability (CVE-2021-44228), commonly known as Log4Shell. The rule specifically looks for various JNDI injection patterns within web server log fields such as User-Agent, URI query, and Referer headers, which are common vectors for this vulnerability.
Detects the exploitation of OMIGOD (CVE-2021-38647) which allows remote execute (RCE) commands as root with just a single unauthenticated HTTP request. Verify successful exploitation by viewing the HTTP client (request) body to see what was passed to the server (using PCAP). Within the client body is where the code execution would occur. Additionally, check the endpoint logs to see if suspicious commands or activity occurred within the timeframe of this HTTP request.
Detects attempts to exploit Java-based web applications by identifying common payload strings often used in vulnerabilities like those affecting Confluence (CVE-2022-26134, CVE-2021-26084) and other Java deserialization or expression language injection flaws. The rule looks for specific patterns in web access logs that indicate the presence of Java code execution attempts, such as references to Java classes, runtime execution commands, and encoded characters often used in exploit payloads.
Detects HTTP requests to URIs ending with the ".class" extension. This can indicate attempts to download Java classes, potentially as part of exploitation attacks such as Log4shell against Log4j vulnerabilities. This rule is useful for threat hunting to identify such activities.
Detects potential OGNL Injection exploitation attempts in JVM-based applications, which could lead to Remote Code Execution (RCE). This rule specifically looks for error messages indicating OGNL parsing failures, such as 'org.apache.commons.ognl.OgnlException' or 'ExpressionSyntaxException', which are common indicators when an attacker attempts to inject malicious OGNL expressions. This type of vulnerability has been exploited in high-profile cases like Apache Struts (CVE-2017-5638) and Confluence (CVE-2022-26134).
This rule identifies sign-in attempts from geographically distant locations within a short timeframe, which is indicative of an "impossible travel" scenario. It also considers if one of these locations is atypical for the user based on their past behavior. This pattern often suggests that an attacker has compromised user credentials and is attempting to access the account from a new, unusual location, potentially using a VPN or proxy service to mask their true origin.
This rule detects HTTP requests containing user-agent strings commonly associated with known scanning and reconnaissance tools such as Wfuzz, WPScan, and Recon-ng. These tools are often used by attackers to gather information about web applications and infrastructure before launching an attack.
Detects exploitation attempts against Fortinet SSL VPNs using the CVE-2018-13379 vulnerability. This vulnerability allows an unauthenticated attacker to read arbitrary files on the system via a specially crafted URI.
Detects when an AWS account makes changes to the ingress or egress rules of a security group. This activity can indicate an attacker attempting to open new attack vectors, exfiltrate data over the network, or allow compromised machines to contact a command and control (C2) server.
This rule identifies 'impossible travel' events where a user's activities originate from geographically distant locations within a time period that is too short for physical travel between those locations. This often indicates a compromised account being accessed from multiple locations simultaneously or in rapid succession, potentially using different IP addresses or devices.
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