Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
2,154 detections
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Detects outbound network traffic with a User-Agent header indicating the use of the Rust 'reqwest' HTTP client library. This User-Agent is used by the RustyWater implant, associated with the MuddyWater APT group, for command and control (C2) communications.
Detects command injection attempts in HTTP POST requests targeting IoT device web interfaces, a technique used by the RondoDoX botnet to compromise vulnerable devices.
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.
Detects outbound network connections to a list of IP addresses identified as high-confidence command and control (C2) infrastructure for the Clop ransomware group. This infrastructure has been observed across multiple campaigns, including the exploitation of vulnerabilities like CVE-2025-61882 (Oracle E-Business Suite), CVE-2023-34362 (MOVEit), and CVE-2023-0669 (GoAnywhere).
Detects potential exploitation of Oracle E-Business Suite vulnerability CVE-2025-61882, which allows for unauthenticated remote code execution. This rule looks for specific web request URIs, post-exploitation process activity, and known indicators of compromise (IOCs).
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 a distinctive User-Agent string used by the initial RedLoader DLL for command and control (C2) communications. This activity is associated with the GOLD BLADE threat group (also known as RedCurl).
Detects network connections to domains known to be used as infrastructure for an ongoing, highly evasive Evilginx phishing campaign targeting SSO portals.
Detects network connections to dedicated IP addresses previously used to host Evilginx phishing proxies. While the threat actor has reportedly shifted to using Cloudflare, these IPs represent past infrastructure and should be monitored for potential reuse.
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.
Detects HTTP requests targeting the Oracle Identity Manager REST API that contain known authentication bypass suffixes, such as `?WSDL` or `;.wadl`. This indicates an attempt to exploit the initial authentication bypass stage of the CVE-2025-61757 exploit chain.
Detects unique strings associated with the JSKit iOS exploitation framework in network traffic. This framework is used by multiple threat actors, including the commercial surveillance vendor Intellexa, to deliver spyware like Predator.
Detects network connections originating from notepad.exe to suspicious domains or IP addresses. This is a high-fidelity indicator of compromise associated with the SERPENTINE#CLOUD campaign, where a malicious payload is injected into the notepad.exe process for C2 communications.
Detects potential Command and Control (C2) communication from the AK47C2 backdoor over HTTP. The backdoor sends a hex-encoded JSON payload via HTTP POST requests. This rule specifically looks for HTTP POST requests with a request body longer than 100 characters that consists entirely of hexadecimal characters, indicative of the AK47C2 communication pattern.
This search detects network connections to a specific webhook.site URL known to be used by the Shai-Hulud 2.0 worm for data exfiltration.
This rule detects web requests targeting SharePoint endpoints associated with the ToolShell exploit chain (CVE-2025-49704, CVE-2025-49706, CVE-2025-53770, CVE-2025-53771). This activity is linked to the threat actor CL-CRI-1040 (also known as Storm-2603). The rule specifically looks for requests to "/_layouts/15/ToolPane.aspx" or "/_layouts/15/SignOut.aspx" that also contain suspicious strings indicative of command execution or file manipulation attempts, such as "cmd.exe", "powershell", "whoami", "ipconfig", "systeminfo", "&cmd=", or "&file=".
Detects HTTP requests attempting to exploit several IoT device vulnerabilities leveraged by the ShadowV2 botnet to spread. This rule looks for specific URI paths and command injection payloads associated with known CVEs.
Detects exploitation attempts targeting a code injection vulnerability in XWiki's SolrSearch macro (CVE-2025-24893). Attackers can inject malicious Groovy code through specially crafted requests to the SolrSearch endpoint, leading to unauthenticated remote code execution.
Detects when multiple distinct domains, where at least one is known malicious, share the same HTTP body SHA1 hash or favicon MD5 hash. This pattern is indicative of threat actor infrastructure reuse and templating, as described in analysis of campaigns like LaundryBear and FreeDrain.
Detects the RedTail cryptominer targeting exposed Docker APIs by looking for specific HTTP request patterns, including the 'libredtail-http' user agent and 'docker.selfrep' parameter in the request body.
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