Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects PHP web shells dropped into wp-content/uploads or plugin directories following WordPress plugin exploitation, characterized by host detail reporting and a browser-based file upload form
This rule detects the presence of specific SilverFox malware payload files by matching their SHA256 hashes against known indicators of compromise. This identification is typically used for file integrity monitoring, endpoint scanning, or gateway-based file filtering to prevent malicious code execution.
Detects the presence of specific versions (2.35 and 2.36) of the Admin Menu Editor Pro WordPress plugin, which were reported to be distributed as trojanized versions via a compromised update infrastructure.
Detects high-frequency outbound TCP connection attempts from a WSO2 API Gateway or Traffic Manager host to multiple sensitive internal management and administrative ports (22, 445, 3389, 5985, 5986). This behavior is indicative of a compromised gateway being used for lateral movement across the network.
Detects local privilege escalation attempts targeting Acronis backup plugins for cPanel, WHM, and Plesk. The rule monitors for instances where backup-related processes or binaries located within control panel paths are executed with root privileges when the parent process was not originated by root, a behavior indicative of exploiting insecure file permissions.
Detects the execution of a shell process (sh, bash, dash, zsh) spawned as a child of Acronis backup agent or plugin processes by the root user. This behavior is indicative of potential exploitation of local privilege escalation vulnerabilities, such as CVE-2026-87886, within Acronis backup plugins for cPanel, WHM, and Plesk.
Detects instances where web server worker processes such as php-fpm, apache, or nginx spawn shell interpreters (sh, bash, dash). This behavior is often indicative of web shell execution, where an adversary leverages a compromised web application to execute arbitrary commands on the underlying host.
Detects potential exploitation of CVE-2026-87886 in the Acronis Backup plugin for cPanel & WHM, where an adversary uses insecure file permissions to elevate privileges. The rule monitors for execution of file permission or ownership changing utilities (chmod, chown) targeting files associated with backup plugins.
Detects the publication of a known malicious version (0.2.21) of the '@dforge-core/dforge-mcp' npm package. This activity is attributed to the GHAPPIER/PolinRider supply chain campaign, which leverages hijacked OIDC trusted-publishing pipelines to distribute compromised code.
This rule monitors network traffic, DNS queries, and user web clicks to detect interactions with known malicious domains associated with credential harvesting and phishing campaigns, specifically those impersonating security or SSO portals.
Detects instances where a Gradle or Java build process invokes a shell (sh -c) containing suspicious build-related keywords such as 'preBuild', 'doLast', or 'tasks.all'. This pattern is commonly observed in supply chain compromises where malicious code is injected into build scripts to execute hidden payloads during the compilation phase.
Detects the GHAPPIER loader pattern: a top-level require('https').get() call to the primevector-app924560.vercel.app C2 that evals the response, disguised inside a large benign-looking JavaScript benchmark file
Detects the PolinRider/GHAPPIER campaign signature of a malicious loader payload silently appended to the end of a legitimate project configuration file
Detects the PolinRider/GHAPPIER campaign signature of a malicious loader payload silently appended to the end of a legitimate project configuration file
Detects the PolinRider/GHAPPIER campaign signature of a malicious loader payload silently appended to the end of a legitimate project configuration file
Detects the PolinRider/GHAPPIER campaign signature of a malicious loader payload silently appended to the end of a legitimate project configuration file
Detects the GHAPPIER loader payload concealed as a single line deep inside a large (~99KB) legitimate-looking JavaScript file, fetching and eval'ing remote code
Detects the GHAPPIER loader payload concealed as a single line deep inside a large (~99KB) legitimate-looking JavaScript file, fetching and eval'ing remote code
Detects the GHAPPIER loader payload concealed as a single line deep inside a large (~99KB) legitimate-looking JavaScript file, fetching and eval'ing remote code
Detects the GHAPPIER loader payload concealed as a single line deep inside a large (~99KB) legitimate-looking JavaScript file, fetching and eval'ing remote code
Detects the GHAPPIER loader identified across 65 public npm/GitHub repositories and 22 developer accounts, based on its embedded remote-fetch/eval pattern and campaign markers
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