Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the modification or creation of registry values under the Windows Local Security Authority (LSA) configuration key, specifically targeting the 'Authentication Packages' or 'Security Packages' values. Adversaries often use these registry locations to inject custom DLLs that are loaded by the LSA process (lsass.exe) at system boot for persistence or credential dumping.
Detects the use of PowerShell commands that modify file system metadata (e.g., CreationTime, LastWriteTime, LastAccessTime). This technique, often referred to as 'timestomping', is used by adversaries to manipulate file timestamps to evade detection or hide activity.
This rule detects indicators of Adversary-in-the-Middle (AiTM) phishing infrastructure, specifically targeting Evilginx2 and similar proxy frameworks. It identifies unauthorized execution of Evilginx2 binaries, the presence of specific session and configuration files (.evilginx/, phishlets, session databases), unauthorized modifications to Nginx configurations, and the dropping of suspicious HTML lure files into web document roots by scripting interpreters.
Detects unauthorized processes attempting to read, modify, or create files within common browser credential locations (Chrome, Firefox, Edge, and Windows Credential Manager). Legitimate browser processes and their known signers are excluded, focusing on suspicious secondary processes or tools frequently utilized by infostealers like Lumma and RedLine to dump credentials.
This rule detects potential ransomware activity by monitoring for two key signals: interaction with known canary/trap files designed to detect unauthorized access, and rapid, mass file modification of common user data extensions within a short timeframe. Either behavior is indicative of encryption or automated file destruction processes typical of ransomware attacks.
This rule detects the creation or modification of specific Launch Agent or Launch Daemon plist files on macOS, particularly those masquerading as 'com.apple.accountsd'. It also identifies the creation of a hidden directory '.com.apple.accountsd' within '/Library/Application Support'. This activity is highly suspicious as it indicates an attempt to establish persistence or execute malicious code by mimicking legitimate system services.
Detects the creation, reading, or execution of payloads stored within NTFS Alternate Data Streams (ADS). This technique is commonly used by adversaries to hide malicious content within file metadata to evade security tools. The rule monitors process command-line arguments for ADS syntax, identifies usage of utilities like type, Get-Content, wmic, or various LOLBins (e.g., regsvr32, rundll32) interacting with ADS paths, and flags anomalous file creation/modification events that involve ADS, excluding known system-generated streams.
Detects unauthorized access or modification to common CI/CD credential files (.npmrc, .pypirc, .git-credentials, jenkins credentials.xml) and CI/CD configuration files (.github/workflows, .gitlab-ci.yml). The rule monitors both file system activities by non-standard processes and the execution of command-line tools that reference these sensitive files.
Detects instances where non-browser processes access sensitive browser-related files (Login Data, Cookies, or Local State) located within AppData directories. This behavior is highly indicative of credential and session token theft, often associated with AiTM or post-compromise information harvesting activities.
Detects unauthorized or non-standard processes attempting to create, modify, or access sensitive cloud configuration and credential files, such as AWS credentials, Azure CLI token caches, or GCP application default credentials. This behavior is indicative of potential credential theft or unauthorized access to cloud environment tokens.
Detects unauthorized access or modification to common CI/CD credential files (.npmrc, .pypirc, .git-credentials, jenkins credentials.xml) and CI/CD configuration files (.github/workflows, .gitlab-ci.yml). The rule monitors both file system activities by non-standard processes and the execution of command-line tools that reference these sensitive files.
Detects anomalous file modification or deletion events targeting the SSH known_hosts file. This activity can be indicative of VECT ransomware, which zeroes out this file across compromised Linux and ESXi systems to suppress host-key warnings, enabling silent lateral movement via SCP and SSH.
This rule detects unauthorized processes attempting to create, modify, rename, or delete the 'Login Data' SQLite database files used by Google Chrome and Microsoft Edge to store saved credentials. By excluding legitimate browser processes and updates, the rule identifies potential credential theft attempts by infostealer malware or unauthorized actor tools.
Detects file creation or modification events targeting sensitive cloud credential storage locations, such as AWS credentials files, Azure configurations, and Google Cloud credentials databases. The rule filters out known legitimate CLI tools, flagging potential unauthorized access or exfiltration of cloud credentials by other processes.
Detects file creation or modification events targeting sensitive cloud credential storage locations, such as AWS credentials files, Azure configurations, and Google Cloud credentials databases. The rule filters out known legitimate CLI tools, flagging potential unauthorized access or exfiltration of cloud credentials by other processes.
Detects the creation or writing of BMP files in temporary directories by processes other than common screenshot or image editing tools. This activity can be indicative of malware attempting to capture screenshots or other visual data, potentially for exfiltration or analysis.
This rule detects the creation or modification of executable files (.com, .exe, .scr, .pif, .bat, .cmd) in common user directories (Documents, Downloads, Desktop) where the initiating process is a legitimate application like explorer.exe, winrar.exe, or 7z.exe. This pattern is often used in phishing attacks where malicious executables are disguised as benign documents.
Detects execution of PowerShell spawned by script engines (wscript.exe, cscript.exe) using 'certutil -decode' to process files within the 'ProgramData' directory. This pattern is characteristic of the NUKESPED staging phase, often attributed to the Kimsuky threat actor, where obfuscated or encoded payloads are decoded into executable form using built-in system utilities.
Detects file creation, copy, or rename operations within known VPN application directories (CyberGhost, ExpressVPN, NordVPN) when initiated by Chromium Embedded Framework (CEF) related processes (CefSharp.BrowsersSubprocess). This behavior is highly irregular as standard web browser components should not be modifying the local configuration or installation directories of VPN software.
Detects persistence mechanisms associated with the MYRA RAT on Linux systems, including the creation or modification of cron jobs (specifically targeting .cache-update.sh), registration of a malicious shared object via /etc/ld.so.preload, and the installation of a login hook in /etc/profile.d/.
This rule monitors for unauthorized changes to sensitive system, authentication, and configuration files, as well as the deletion or truncation of logging artifacts on SD-WAN appliances. This activity is indicative of an adversary attempting to modify credentials, evade detection, or clear their footprint by tampering with security-critical paths.
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