Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
247 detections
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This rule detects potentially malicious credential abuse patterns, such as credential stuffing or brute force attacks, originating from external IP addresses against edge appliance VPN or administrative interfaces. It identifies activity by correlating a high volume of failed authentication attempts followed by a successful login from the same external IP address.
Detects web application processes (such as nginx, gunicorn, uvicorn, python, node, or java) attempting to read sensitive information from /proc/self, specifically /proc/self/environ, /proc/self/cmdline, or /proc/self/maps. This behavior is indicative of a Local File Read (LFR) vulnerability exploitation, which an attacker may use to exfiltrate environment variables containing secrets or Cloud Run service account credentials.
Detects the execution of the 'diagnose sniffer packet' command on FortiOS devices. This command can be abused by malware, such as FortigateSniffer, to intercept authentication traffic, as observed in campaigns like FortiBleed.
Sshpass Lateral Movement
YARA-L
Detects sshpass automation usage by administrative accounts
Detects the execution of MeshCentral agent commands, specifically the 'RunCommand' functionality, which can be used to stage payloads or execute unauthorized commands on compromised systems. This detection monitors both process execution events on endpoints and generic syslog data.
Detects indicators of exploitation related to CVE-2026-20245 on Cisco Catalyst SD-WAN controllers, including malicious tenant CSV uploads, unauthorized account creation (troot), privilege escalation via su, anti-forensic backup of system configuration files, and configuration changes such as PermitRootLogin enabled.
Identifies the execution of MeshCentral for remote command execution, specifically looking for 'meshctrl.js RunCommand' in process command lines or syslog messages. This activity has been associated with threat actors like ShinyHunters for staging payloads.
Detects rapid successive password changes to the default 'admin' account on Cisco SD-WAN controllers followed by a configuration rollback. This pattern indicates an adversary attempting to temporarily modify credentials for exploitation while attempting to evade detection by reverting to the original configuration state, specifically targeting NETCONF configuration commits.
Detects instances of FTP transfer mode switching (ASCII/Binary) by monitoring network events for FTP traffic on port 21 and specific commands like 'TYPE A' or 'TYPE I' in the RemoteUrl. This behavior can be indicative of data transfer activities, potentially related to vulnerabilities or malicious data exfiltration.
Detects instances of FTP transfer mode switching (ASCII/Binary) by monitoring network events for FTP traffic on port 21 and specific commands like 'TYPE A' or 'TYPE I' in the RemoteUrl. This behavior can be indicative of data transfer activities, potentially related to vulnerabilities or malicious data exfiltration.
Detects the execution of the 'diagnose sniffer packet' command on FortiOS devices. This command can be abused by malware, such as FortigateSniffer, to intercept authentication traffic, as observed in campaigns like FortiBleed.
Detects a browser session that contacts an EvilTokens Device Code phishing endpoint (/api/device/status/) and then immediately navigates to onedrive.live.com, indicating the attacker backend returned status:completed and the kit executed window.location.replace to redirect the victim to OneDrive after token capture. This sequence suggests a successful device code phishing attack where the victim's credentials or tokens have been captured, and they are then redirected to a legitimate service to avoid suspicion.
Detects the Python Imaging Library (PIL) memory leak used to bypass ASLR prior to the JPEG2000 heap overflow. This KQL query specifically looks for syslog messages containing 'cannot identify image file' and 'BytesIO object at 0x', which are indicators of this specific memory leak vulnerability being triggered.
Detects suspicious authentication and management events associated with SD-WAN devices, specifically targeting indicators of CVE-2026-20245 exploitation. The rule monitors for unauthorized SSH access, usage of tenant-upload commands, execution of rogue scripts like vconfd_script_upload_tenant_list, and anomalous peering activity indicative of device injection.
Detects non-browser HTTP POST requests containing both 'access_token' and step-style parameters (e.g., 'step', 'stage', 'counter' followed by a number) in proxy or firewall telemetry. This rule specifically targets patterns associated with malware communication, such as SessionGate, Remus, or AnimateClipper, by excluding common browser user agents.
Detects persistence and fileless execution techniques associated with the MYRA Linux RAT. This includes monitoring for the creation of persistence files such as /usr/local/lib/.libcache.so for LD_PRELOAD hijacking and /etc/profile.d/.sh.local for shell-based persistence. It also monitors for suspicious process execution patterns where 'node' spawns a 'systemd-userdbd' masquerading process or invokes syscalls indicative of fileless execution, specifically memfd_create or fexecve.
Detects the execution of commands used to parse /etc/hosts for PeopleSoft-related node names (WEB, APP, csprd) for lateral movement targeting. Threat actors (e.g., ShinyHunters) use this to discover internal application and web servers.
Monitors Cisco SD-WAN (vManage, vBond, vSmart) appliance logs for authentication events against management accounts. It specifically identifies logins from known malicious IP addresses associated with threat actor activities and flags anomalous authentication methods such as PAM/keyboard-interactive and unvalidated administrative access.
This rule monitors Cisco SD-WAN environment logs for indicators of unauthorized or suspicious control plane activity, including rogue peering attempts, unexpected NETCONF interactions, certificate mismatches, and unauthorized vBond/vSmart connections. It filters out known local management subnets and utilizes a threat intelligence lookup to identify potentially malicious infrastructure attempting to interface with the SD-WAN fabric.
Detects potential unauthorized or rogue peer connections within a Cisco SD-WAN infrastructure. The rule monitors certificate-based authentication events for indicators of rogue peers (e.g., certificate mismatches, invalid common names) or connections originating from known malicious IP addresses associated with rogue SD-WAN activity.
Detects DNS queries and network connections to 'netdna-ssl.com' and its subdomains, as well as specific IP addresses (104.21.72.58, 172.67.175.240) associated with the re-registered domain. This domain was re-registered by a third party in July 2025 and now resolves legacy WP Engine CDN hostnames, creating a potential supply chain risk.
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