Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
252 detections
Filters
Last updated
All Time
Detection languages
109
48
29
20
15
Contributors
70
34
30
21
11
Categories
156
65
58
54
31
Platforms
129
107
62
33
16
Products / Services
39
36
27
19
18
MITRE Techniques
18,113
15,640
12,591
8,389
6,208
CVEs
5
4
2
1
1
IDS Classtypes
4
3
1
1
IDS Protocols
8
Detects AWS OIDC role assumption by a GitHub workflow running on a ci-sync-<6 chars> branch followed within an hour by Secrets Manager reads using the same session credentials, as seen in the Gheist campaign.
Correlates per-device reads of .env secret files by utility commands (such as cat, grep, findstr) with subsequent or preceding Prisma Studio or database activity within a 30-minute window, indicating potential credential theft or unauthorized database management tool usage.
Detects potential data exfiltration and credential hunting where an endpoint downloads a database backup using presigned URLs or cloud storage signatures within 6 hours of searching local files for API keys or private keys.
Detects credential harvesting tooling and activity targeting PaperCut configuration and log files by identifying specific parser script executions, searches for PaperCut credential key patterns in process command lines, and the creation of related harvest artifacts.
Detects AI coding assistants and agents (such as Copilot, Cursor, Claude Code, etc.) spawning command-line interpreters (PowerShell, CMD, Node, Bun, Deno) with potential API keys, tokens, or credentials exposed in the process command line.
Detects high-volume retrieval of secrets by a single principal within a one-hour window across AWS Secrets Manager, Azure Key Vault, and Google Cloud Secret Manager. This behavior is indicative of bulk credential harvesting or automated sensitive data exfiltration following unauthorized access or privilege escalation in cloud environments.
Detects when an AI agent or assistant process attempts to access sensitive local configuration or credential files (e.g., .aws/credentials, .env, id_rsa, service account keys, .netrc) that typically fall outside the scope of its intended function. This behavior is indicative of unauthorized access, potentially due to prompt injection or malicious exploitation of the agent's file system permissions.
Detects unauthorized process activity that reads, copies, archives, or transmits the NetScaler ns.conf configuration file. This file contains highly sensitive information, including AAA/LDAP bind credentials and certificates. Adversaries may stage or exfiltrate this file following the exploitation of vulnerabilities (such as CVE-2026-88771 or CVE-2026-88772) on NetScaler appliances to facilitate further network compromise.
Detects runtime processes associated with AI agents or scripting environments (e.g., python, node, deno) accessing sensitive credential storage paths and files, such as SSH keys, cloud provider configuration directories, and local environment variables, which may indicate credential exfiltration.
Detects the use of standard Linux command-line utilities (e.g., cat, curl, vi) to read or reference sensitive cloud credential files or Kubernetes service account tokens. This behavior is a common indicator of credential theft or discovery activities following initial access to a Linux host.
Detects the use of standard Linux command-line utilities (e.g., cat, curl, vi) to read or reference sensitive cloud credential files or Kubernetes service account tokens. This behavior is a common indicator of credential theft or discovery activities following initial access to a Linux host.
Detects unauthorized access to or generation of Citrix NetScaler core dump files, trace outputs, or memory diagnostic artifacts. These artifacts are high-value targets for attackers, such as those exploiting CVE-2026-88772, who attempt to extract session tokens, credentials, and sensitive data residing in memory via these diagnostic mechanisms.
Detects SQL injection attempts on the WordPress REST API batch endpoint, specifically targeting the wp_users table to extract user credentials (user_pass and user_login), a technique used by attackers to compromise WordPress installations.
Detects the execution of discovery or credential access utilities (e.g., whoami, net, reg, ldapsearch) spawned by Java-based server processes like java.exe or tomcat.exe. This activity is often indicative of an attacker leveraging a vulnerable web application to perform reconnaissance or credential harvesting on the host system.
Detects high-risk activities related to SAML token-signing certificates, including certificate export from Active Directory Federation Services (AD FS) or Active Directory Certificate Services (AD CS) and unauthorized configuration changes to enterprise application certificate management. These activities are potential precursors to Golden SAML attacks, where an adversary attempts to forge authentication tokens.
Detects a service principal or user account performing a burst of 'ListKeys' operations across multiple Azure Storage accounts. This behavior is indicative of an attacker attempting to dump access keys for multiple storage accounts after initial compromise or privilege escalation to gain further access to sensitive cloud data.
Detects the CARBONATO GH0ST Hermes Agent activity of harvesting and storing AI API keys (such as OpenAI, Anthropic, Google Gemini, etc.) as plaintext files within the /root/.hermes/loot/ directory. This is consistent with the agent's behavior of staging credentials for later exfiltration.
Detects high-risk activities related to SAML token-signing certificates, including certificate export from Active Directory Federation Services (AD FS) or Active Directory Certificate Services (AD CS) and unauthorized configuration changes to enterprise application certificate management. These activities are potential precursors to Golden SAML attacks, where an adversary attempts to forge authentication tokens.
Detects outbound HTTP POST requests containing an aggregated 'LOOT' variable in the body. The rule looks for markers indicating the exfiltration of Kubernetes-related credentials, such as service account tokens, bearer tokens, or configuration secrets, as well as common environment variable dumps like API keys.
Detects a service principal or user account performing a burst of 'ListKeys' operations across multiple Azure Storage accounts. This behavior is indicative of an attacker attempting to dump access keys for multiple storage accounts after initial compromise or privilege escalation to gain further access to sensitive cloud data.
Detects a service principal or user account performing a burst of 'ListKeys' operations across multiple Azure Storage accounts. This behavior is indicative of an attacker attempting to dump access keys for multiple storage accounts after initial compromise or privilege escalation to gain further access to sensitive cloud data.
Page 1 of 12