Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects suspicious activities in Salesforce environments consistent with the TTPs of the ShinyHunters threat group (also tracked as UNC6040/UNC6240). The attack involves social engineering (vishing) to trick users into authorizing malicious OAuth applications that impersonate legitimate tools like 'Salesforce Data Loader'. This rule looks for key indicators such as the installation of unreviewed packages, creation of impersonating connected apps, elevation of permissions to 'full' API access, and large data exports.
Detects attempts to perform prompt injection attacks against Large Language Models (LLMs) and AI bots. These attacks aim to subvert the model's original instructions, bypass safety mechanisms, or extract sensitive information.
This rule consolidates multiple detections related to a widespread malspam campaign delivering the Nova infostealer. It hunts for activity across email, network, DNS, and firewall logs associated with known malicious domains, IPs, and specific TTPs like suspicious archive attachments from impersonated brands.
Detects common JavaScript patterns used for reflective code loading and dynamic code execution. Adversaries use these techniques to obfuscate malicious code and evade static analysis by executing code from strings or other dynamic sources.
The analytic detects when a Windows RDP client attempts to execute an RDP file from a temporary directory, downloads directory, or Outlook directories. This detection is significant as it can indicate an attempt for an adversary to deliver a .rdp file, which may be leveraged by attackers to control or exfiltrate data. If confirmed malicious, this activity could lead to unauthorized access, data theft, or further lateral movement within the network.
This detection identifies potential usage of the Naabu port scanner by searching for its process execution or its specific network user-agent string. Naabu is a fast port scanner that can be used for network reconnaissance.
This rule detects attempts by scripting language interpreters (Node.js, Python, PowerShell) to access sensitive browser credential files such as 'Login Data', 'Web Data', and 'Cookies' from Chrome and Brave browser user data directories. It also includes specific file paths that might be associated with known browser extensions or malware that target these files. This activity is indicative of credential dumping or information stealing.
This analytic leverages alerts from Splunk AppDynamics SecureApp to identify and monitor exploit attempts targeting business applications. It specifically looks for vulnerabilities in web applications, including injection attacks (SQL, API abuse), deserialization vulnerabilities, remote code execution attempts, LOG4J, and zero-day attacks. These attacks typically aim to gain unauthorized access, exfiltrate sensitive data, or disrupt application functionality. Splunk AppDynamics SecureApp provides real-time detection by analyzing application-layer events and correlating attack behavior with known vulnerability signatures, categorizing attack severity, providing visibility into attacker tactics, and generating risk-based scoring and contextual alerts.
The analytic identifies the execution of the native mimikatz.exe binary on Windows systems, including instances where the binary is renamed. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and original file names. This activity is significant because Mimikatz is a widely used tool for extracting authentication credentials, posing a severe security risk. If confirmed malicious, this activity could allow attackers to obtain sensitive credentials, escalate privileges, and move laterally within the network, leading to potential data breaches and system compromise.
Detects the disabling of the 'execInstalledOnly' kernel setting on an ESXi host, a critical security control that prevents the execution of unsigned binaries. This is often followed by a host reboot to apply the change. This TTP is used by threat groups like UNC3944 to prepare the hypervisor for custom ransomware execution.
This rule detects attempts at Local File Inclusion (LFI) or Remote File Inclusion (RFI) vulnerabilities by analyzing web server logs for specific patterns in the request URI. It looks for directory traversal sequences ('../'), attempts to access common sensitive files like '/etc/passwd', or patterns indicating file inclusion via HTTP or file:// protocols.
This rule detects the execution of common command-line utilities (wget, curl, nc, bash, python, perl, php, sh) within web server directories. This activity is highly suspicious as it could indicate an attacker attempting to download malicious files, execute web shells, or perform other post-exploitation activities on a compromised web server.
KQL Query
KQL Query
KQL Query from file: CVE-2025-22224 (CVSS 9.3 CRITICAL) Internet facing VMware server discovery
KQL Query from file: Discord Invite Hijacking Detection
KQL Query
KQL Query from file: Hunting CVE-2025-31324
KQL Query from file: CVSS 9.8 Rockwell Automation Impacted by High-Severity log4net Vulnerability
'Attacker can exfiltrate data from your GitHub repository by cloning it. This hunting query tracks clone activities for each repository, allowing quick identification of anomalies/excessive clones to investigate repo access & permissions.'
This query was originally published in the threat analytics report, Confluence and WebLogic abuse.
2019 has seen several seemingly related campaigns targeting Atlassian Confluence Server and Oracle WebLogic Server. Although these campaigns use different implants and delivery methods, they consistently use the same infrastructure, and exploit the same vulnerabilities.
The campaigns have specifically targeted:
1. CVE-2019-3396 - Software update
2. CVE-2019-2725 - Software update
The following query detects activity broadly associated with these campaigns.
2019 has seen several seemingly related campaigns targeting Atlassian Confluence Server and Oracle WebLogic Server. Although these campaigns use different implants and delivery methods, they consistently use the same infrastructure, and exploit the same vulnerabilities.
The campaigns have specifically targeted:
1. CVE-2019-3396 - Software update
2. CVE-2019-2725 - Software update
The following query detects activity broadly associated with these campaigns.
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