Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects attempts to exploit the ServiceNow 'BodySnatcher' vulnerability (CVE-2025-12420) by invoking the internal 'AIA-Agent Invoker AutoChat' topic to execute arbitrary AI agents.
SharpSuccessor is a .NET-based post-exploitation tool designed to weaponize the BadSuccessor attack discovered by Yuval Gordon (@YuG0rd) from Akamai. It allows a low-privileged user with 'CreateChild' permissions over any Organizational Unit (OU) in an Active Directory domain to escalate privileges to Domain Administrator. This detection rule identifies execution patterns or behavioral indicators linked to SharpSuccessor activity, which may signal privilege escalation attempts in Active Directory environments.
Detects a malicious PDF dropper that uses specific objects and patterns indicative of malware activity.
Detects Microsoft Word making an outbound network connection and subsequently spawning the Equation Editor process (EQNEDT32.EXE). This behavior is associated with the exploitation of CVE-2017-11882 via a malicious remote template.
Detects the Microsoft Equation Editor (EQNEDT32.EXE) spawning a shell process. This behavior is highly anomalous and is a strong indicator of exploitation of vulnerabilities like CVE-2017-11882, as seen in a Remcos RAT campaign.
Detects suspicious commands written to the Windows RunMRU registry key, which stores the history of commands executed via the Windows Run dialog (Win+R). This activity is often associated with the "ClickFix" social engineering technique, where users are tricked into pasting and running malicious commands. The rule identifies various suspicious indicators, including fake verification messages, PowerShell commands with obfuscation or download cradles, mshta, wscript, curl, wget, rundll32, bitsadmin, ssh proxy abuse, and obfuscated command line arguments.
This rule detects an attempt to exploit an XML External Entity (XXE) vulnerability in GeoServer's Web Map Service (WMS) GetMap function. The detection logic looks for HTTP POST requests to the '/wms?' endpoint containing 'request=GetMap' in the URI, and specific XML elements like '<StyledLayerDescriptor>', '<!DOCTYPE', '<!ENTITY', and 'SYSTEM' within the request body, along with a URL-like pattern '://' indicating an attempt to fetch external content.
Detects when the Landlock Linux Security Module (LSM) denies an access request from a sandboxed application. This indicates that a process is attempting to perform an action that violates its predefined security policy, which can be a sign of misconfiguration or malicious activity such as exploitation.
Detects indicators of React2shell exploitation originating from 'node' or 'next' processes on web-facing or internet-facing assets. This rule identifies suspicious network connections to common web ports (3000, 8080, 443, 80) or process executions containing command-line arguments indicative of prototype pollution exploitation (e.g., '__proto__', 'constructor:constructor', 'process.mainModule.require', 'execSync', 'vm.runInThisContext', 'fs.readFileSync') or common post-exploitation commands ('whoami', '/etc/passwd', 'id', 'env', 'hostname').
Detects HTTP POST requests to n8n '/form/*' endpoints where the Content-Type header is 'application/json'. This indicates an attempt to exploit the Content-Type confusion vulnerability (CVE-2026-21858) to achieve arbitrary file read and subsequent remote code execution.
Azure Device Code OAuth Consent
Cortex XDR
This rule detects suspicious activity related to Microsoft 365 Device Code OAuth consent flows. It specifically looks for device code authentications that are single-factor or lack MFA, and then groups these by IP address and client application. The rule identifies suspicious patterns such as a high number of logins, unique users, or unique applications from a single IP address, or rapid login attempts within a short timeframe, which could indicate enumeration or phishing attempts.
Detects command injection attempts in HTTP POST requests targeting IoT device web interfaces, a technique used by the RondoDoX botnet to compromise vulnerable devices.
Detects application crashes related to the `jpeg_finish_compress` function in `WindowsCodecs.dll`. This may indicate an exploitation attempt of CVE-2025-50165, a vulnerability triggered by the re-encoding of a malicious 12-bit or 16-bit JPG image.
Detects HTTP POST requests containing WDDX XML payloads that attempt to exploit a deserialization vulnerability in Adobe ColdFusion (CVE-2023-26359). The attack leverages a JNDI injection with the 'com.sun.rowset.JdbcRowSetImpl' gadget chain.
Detects the loading of a vulnerable version of WindowsCodecs.dll (related to CVE-2025-50165) by non-standard applications. This could indicate an attempt to exploit the vulnerability in a custom or unexpected application context.
Detects the execution of the `iwpriv` utility by an unprivileged user targeting subcommands that are vulnerable to Local Privilege Escalation (LPE) in certain MediaTek Wi-Fi drivers. The exploitation of these vulnerabilities is demonstrated to be possible by unprivileged users, making the execution of kernel-level configuration tools like `iwpriv` by non-root users a highly suspicious activity.
Identifies JSON Web Tokens (JWTs) where the signing algorithm in the header ('alg') is set to 'none'. A server that incorrectly trusts this header may skip signature validation, allowing an attacker to create arbitrary tokens and bypass authentication controls.
This rule detects successful administrative logins to Fortinet devices (FortiGate, FortiWeb, FortiProxy, FortiSwitchManager) that leverage the FortiCloud SSO mechanism from an IP address not on an allowlist. This could indicate exploitation of CVE-2025-59718 and CVE-2025-59719, which allow for an authentication bypass.
Detects files associated with the Cl0p ransomware group's exploitation of the Oracle E-Business Suite vulnerability (CVE-2025-61882).
Detects DLL side-loading attacks where consent.exe loads known malicious DLLs (version.dll, rtworkq.dll, wmsgapi.dll, and the older msimg32.dll) from non-standard locations. This technique is used by Shanya-packed malware including EDR Killer and CastleRAT to load malicious payloads while appearing as a legitimate Windows UAC process.
Detects when a WebKit-based browser process on macOS spawns a shell or script interpreter. This is highly suspicious and can indicate successful exploitation of a browser vulnerability for initial code execution.
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