Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects exploitation of a remote code execution vulnerability (CVE-2025-61882) in Oracle E-Business Suite. The attack involves an authentication bypass followed by the upload and execution of a malicious XSLT template, leading to command execution and potential web shell deployment.
Detects multiple large POST requests to Next.js or React Server Component (RSC) endpoints from the same source IP. This pattern can indicate attempts to exploit unsafe deserialization vulnerabilities like React2Shell (CVE-2025-55182) by sending a crafted, oversized payload.
Detects potential exploitation attempts against Next.js applications vulnerable to CVE-2025-66478 (React2shell). The rule looks for POST requests to Next.js Server Action endpoints with an unusually large request body, which may indicate a malicious payload designed to trigger a deserialization RCE.
Detects React2Shell exploitation attempts via prototype pollution and Node.js
gadget invocation. Covers vulnerability scanning, gadget testing, and active
RCE exploitation.
gadget invocation. Covers vulnerability scanning, gadget testing, and active
RCE exploitation.
This rule detects command and control (C2) beaconing activity associated with the SHADOW-VOID-042 malware family. Specifically, it looks for HTTP POST requests containing the string "get_module_hello" in the request body, which is indicative of a C2 communication pattern used by this malware.
Detects attempts to exploit CVE-2025-55182 (React) and CVE-2025-66478 (Next.js) by identifying Prototype Pollution vectors (__proto__, constructor) specifically targeting the React Flight protocol (RSC headers/params). Covers both clear-text and common JSON escape sequences. The rule also correlates with 500 errors to identify potential successful exploitation or blind probing attempts.
Detects attempts to exploit CVE-2025-55182 (Next.js/React) via Server Actions. Target is identified by the 'Next-Action' header or 'RSC' markers, combined with JSON prototype pollution vectors in the body.
Detects attempts to exploit CVE-2025-55182 (React) and CVE-2025-66478 (Next.js) utilizing data from the Imperva WAF leveraging vm#, child_process#, util_#, & fs_# indicators.
Detects potential exploitation attempts against Next.js applications vulnerable to CVE-2025-66478 (React2shell). The rule looks for POST requests to Next.js Server Action endpoints with an unusually large request body, which may indicate a malicious payload designed to trigger a deserialization RCE.
DAI-SS EXPLOIT Possible React Exploit RCE Attempt Inbound (CVE-2025-55182)
This rule detects a possible Remote Code Execution (RCE) attempt targeting a React application, specifically exploiting CVE-2025-55182. It looks for inbound HTTP POST requests containing 'child_process' and 'response' and 'Sync' in the request body, along with specific HTTP headers ('Next-Action', 'rsc-action-id', or 'text/x-component'). The presence of 'child_process' suggests an attempt to execute system commands.
Detects attempts to exploit CVE-2025-55182 by injecting prototype pollution vectors ("__proto__", "constructor") into React Server Component (RSC) or Next.js Server Action requests. This vulnerability allows for Remote Code Execution via object serialization flaws.
DAI-SS EXPLOIT Possible React Exploit RCE Attempt Inbound (CVE-2025-55182)
DAI-SS EXPLOIT Possible React Exploit RCE Attempt Inbound (CVE-2025-55182)
DAI-SS EXPLOIT Possible React Exploit RCE Attempt Inbound (CVE-2025-55182)
This rule detects the download of Android Application Package (APK) files from Amazon S3 buckets, where the HTTP URI contains keywords related to gambling (slot, bet, play, jackpot). This activity is indicative of potential malware distribution, specifically targeting Android devices with gambling-themed applications, as observed in Indonesian gambling ecosystems.
DAI-SS EXPLOIT Possible React Exploit RCE Attempt Inbound (CVE-2025-55182)
This detection looks for browser network traffic to URLs containing common social engineering keywords and common web page file extensions, while excluding trusted domains. This activity is associated with the Matrix Push C2 framework, which uses malicious browser notifications to lure users to phishing pages.
This rule detects when a domain or URL observed in Teams Messages matches a known threat intelligence indicator from Microsoft Defender Threat Intelligence. It specifically looks for hits against 'Domain' and 'URL' type indicators.
Detects attempts to exploit a path traversal vulnerability (CVE-2025-64446) in FortiWeb. Attackers send a crafted POST request to create a new administrative user by targeting a specific URI and including keywords in the request body indicative of new admin creation.
Detects the unique User-Agent string "A WinHTTP Example Program/1.0" used by the MuddyViper backdoor for C2 communications, as reported in the MuddyWater campaign.
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