Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects unauthorized modification of file permissions on Acronis-related files or directories, or modification of Acronis-related files by non-authorized users. This rule targets attempts to weaken file security (e.g., setting permissions to 777 or 666) or unauthorized tampering with Acronis components, which may be part of an attempt to gain persistence, escalate privileges, or evade detection.
Detects obfuscated PHP web shell activity within the Admin Menu Editor Pro plugin, specifically looking for common obfuscation patterns like base64_decode, gzinflate, and str_rot13 combined with encoded payloads.
This rule identifies critical or high-severity software vulnerabilities affecting devices tagged as part of a PCI-CDE (Payment Card Industry Cardholder Data Environment) scope. It summarizes the findings by CVE, severity level, count of affected devices, and specific assets involved, prioritizing remediation for PCI compliance.
Detects execution of common reconnaissance and system discovery commands (e.g., whoami, netstat, ifconfig) initiated by web server or application runtime processes (e.g., httpd, nginx, tomcat, node). This behavior is highly indicative of post-exploitation activity where an adversary attempts to gather system or network information after successfully compromising a web-based service.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects network connections to known JeetBot infrastructure domains and IP addresses. The rule specifically identifies potential exfiltration of Twitch OAuth tokens via URL parameters or interaction with known token-collection proxy endpoints, which are associated with the JeetBot/Twitch Enhanced Viewer credential harvesting campaign.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects network connections to JeetBot/Twitch Enhanced Viewer malicious browser extension infrastructure exfiltrating Twitch OAuth tokens. Apex domains (jeetbot.cc, api.jeetbot.cc) are gated on a token-forwarding indicator to avoid false positives.
Detects embedded CVE-2026-46300 (Fragnesia) Linux privilege escalation exploit code used by KATARU IoT malware, copied unmodified from public PoC
Detects the execution of the 'su' binary preceded by command-line strings that are highly indicative of known Linux privilege escalation exploits, specifically those targeting vulnerabilities like PwnKit (CVE-2021-4034). The rule monitors for common exploit payloads or status messages (e.g., 'prctl PR_SET_DUMPABLE', 'fork userns mapper') associated with successful exploitation attempts that manipulate environment variables or process attributes to elevate privileges to root, while filtering out legitimate container-related processes.
Detects the execution of the 'su' binary preceded by command-line strings that are highly indicative of known Linux privilege escalation exploits, specifically those targeting vulnerabilities like PwnKit (CVE-2021-4034). The rule monitors for common exploit payloads or status messages (e.g., 'prctl PR_SET_DUMPABLE', 'fork userns mapper') associated with successful exploitation attempts that manipulate environment variables or process attributes to elevate privileges to root, while filtering out legitimate container-related processes.
Detects instances where AI coding agents (such as Claude Code, Copilot, etc.) execute git commands (checkout, fetch, clone) using a branch name or reference formatted as a 40-character hex string. This behavior is indicative of a 'Plugin4Shell' style bypass, where an attacker crafts a branch name that mimics a commit SHA to cause ambiguous refname errors or hijack repository operations.
Detects the creation of files with specific extensions (.locked, .locked_wip) or filenames (RESTORE_FILES.txt) commonly associated with ransomware operations and ransom notes.
Detects instances where AI-assisted coding tools (Claude, GitHub Copilot, Codex) spawn the git process to perform a specific 'checkout' command followed by a full commit hash. This behavior may indicate an automated or malicious attempt to manipulate repository states, inject code, or perform unauthorized checkout operations via an AI-assisted development workflow.
Detects the execution of Git repository operations (clone, fetch, pull, checkout) initiated by AI-assisted coding tools such as Claude Code, GitHub Copilot, or Gemini CLI. The rule specifically excludes interactive operations, identifying automated or scripted usage of these tools to interact with code repositories.
Detects potential Qilin ransomware binaries following Cisco FMC-based intrusion by UAT-11988. Source intel provides only name-level attribution (no sample hash/byte IOC for the payload), so this is tightened to a valid PE, a plausible ransomware-payload size band, and >=2 occurrences of the family string -- a bare single 'Qilin' substring in an arbitrary PE (e.g. an unrelated app, build path, or AV/report string) is not sufficient to alert on alone.
Detects execution and file artifacts associated with the 'fscan' network scanning tool, which is commonly used for internal network discovery and vulnerability scanning. The rule monitors for the presence of the fscan binary or evidence of its output files, specifically 'result.txt', often in combination with scanning parameters like port strings or target service references.
Detects execution and file artifacts associated with the 'fscan' network scanning tool, which is commonly used for internal network discovery and vulnerability scanning. The rule monitors for the presence of the fscan binary or evidence of its output files, specifically 'result.txt', often in combination with scanning parameters like port strings or target service references.
Detects the execution of Python scripts explicitly named 'socks5.py'. This is a common pattern used by adversaries to establish proxying capabilities for command and control or to tunnel traffic through a compromised host.
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