Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects file-related events (creation, modification, deletion, or renaming) targeting common SSH private key files (id_rsa, id_ed25519, id_ecdsa) and host keys. It filters out expected processes like standard SSH clients and key generation tools, flagging potential unauthorized access or credential harvesting by other applications.
Detects potential credential theft (e.g., InvisibleFerret/BeaverTail malware) where a node.js or python process, spawned as a child process of VS Code (Code.exe), attempts to read sensitive cloud credential files for AWS, Azure, or GCP.
This rule detects instances where Python interpreter processes (python.exe, python3.exe) access sensitive cryptocurrency wallet or keystore files. This behavior is indicative of unauthorized information collection or wallet stealer malware activity targeting local system assets.
Detects instances where common scripting engines such as node.exe, python.exe, or related variants access known web browser credential storage files (e.g., Login Data, Cookies, logins.json). This behavior is characteristic of info-stealing malware, notably identified in the BeaverTail and InvisibleFerret malware families used during the 'Contagious Interview' campaign to exfiltrate sensitive browser data.
This rule detects unauthorized or unexpected processes accessing sensitive local files containing cloud provider credentials, configuration, or environment variables. It identifies access to files such as .aws/credentials, .azure/accessTokens.json, .npmrc, and .env by processes that are not recognized cloud CLI tools. The rule prioritizes alerts involving developer-oriented applications like VS Code or Node.js, which may indicate credential theft or compromise of a developer's workstation environment.
Detects instances where common script interpreters (node.exe, python.exe, etc.) simultaneously access sensitive local credential files and establish outbound network connections to common web ports (80, 443, 8080, etc.), which is indicative of credential exfiltration behavior.
This rule detects Nested App Authentication (NAA) broker abuse, specifically when the Azure Portal silently acquires Microsoft Graph tokens for privileged first-party nested applications. It correlates these silent token acquisitions with a preceding interactive Azure Portal sign-in from the same user and IP address within a 30-minute window, indicating a potential AiTM (Adversary-in-the-Middle) kill chain indicator. The rule identifies known vulnerable nested application IDs and looks for 'refreshToken' or 'broker' as the incoming token type during the Graph token acquisition.
This rule detects Nested App Authentication (NAA) broker abuse, specifically when the Azure Portal silently acquires Microsoft Graph tokens for privileged first-party nested applications. It correlates these silent token acquisitions with a preceding interactive Azure Portal sign-in from the same user and IP address within a 30-minute window, indicating a potential AiTM (Adversary-in-the-Middle) kill chain indicator. The rule identifies known vulnerable nested application IDs and looks for 'refreshToken' or 'broker' as the incoming token type during the Graph token acquisition.
This rule monitors process execution events for the usage of common memory dumping utility names (e.g., procdump, memdump, coredump, crashdump) via command-line interfaces such as cmd.exe or powershell.exe. This activity is frequently associated with attackers attempting to dump sensitive process memory, such as LSASS, to extract credentials or other secrets from memory.
Detects PowerShell invoking advapi32.dll for CredEnumerate.
Detects a successful Key Vault access policy or role change that grants secret-reading capability to a user or service principal. This could indicate an adversary attempting to gain access to sensitive credentials stored in Azure Key Vault.
Detects successful retrieval of storage account access keys by a user identity rather than an established deployment or backup service. This activity can indicate an attacker attempting to gain access to sensitive data stored in Azure Storage Accounts.
Detects the creation of 'lsass.dmp' files outside of standard Windows Error Reporting (WER) or CrashDumps paths. This activity can indicate an attempt to dump LSASS memory for credential access.
Detects general Entra ID sign-ins originating from Railway.com PaaS IP space, which could indicate a token replay campaign or other unauthorized access.
Detects a mismatched/synthetic iOS 18 User-Agent (Version/26.x) used by Kali365 to bypass detection. This specific User-Agent string is indicative of malicious activity as 'Version/26' does not natively exist on iOS 18.
This rule detects various suspicious activities related to privilege escalation and access token manipulation. It identifies the enablement of sensitive privileges (SeDebugPrivilege, SeTcbPrivilege, SeImpersonatePrivilege) by non-system processes, suspicious API calls for token impersonation/duplication (ImpersonateNamedPipeClient, DuplicateTokenEx) from non-privileged processes, and the creation of SYSTEM child processes by medium-integrity parent processes. These behaviors are often indicative of an attacker attempting to elevate privileges on a compromised system.
Identifies a backdoored model's payload executing post-deserialization to read developer secrets (SSH keys, AWS credentials, NPM tokens) and exfiltrate them.
This rule monitors web browser processes (msedge.exe, chrome.exe) for two distinct behaviors: performing network connections to known command and control (C2) or exfiltration domains, and accessing sensitive browser files such as cookies, login data, or web data files.
This rule monitors Cisco SD-WAN logs (vManage, auth, and syslog) for suspicious administrative activity including credential manipulation, unauthorized password changes, successful vManage-admin SSH logins, and potential configuration exfiltration via vManage API calls.
Detects evil twin access point credential capture portal
Detects attempts to read the memory of browser processes (Chrome, Edge, Firefox, Brave, Opera). This activity can be indicative of credential dumping or other forms of data exfiltration from web browsers.
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