Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
956 detections
Filters
Last updated
All Time
Detection languages
486
122
65
63
57
Contributors
328
210
131
82
29
Categories
504
436
202
184
173
Platforms
748
270
203
29
24
Products / Services
318
197
48
42
42
MITRE Techniques
18,123
15,639
12,580
8,394
6,215
956
CVEs
4
3
2
2
2
IDS Classtypes
6
6
4
3
IDS Protocols
15
4
Detects the use of tar.exe to extract archives into common staging directories (Temp, AppData, Public, ProgramData), particularly when the process is initiated by suspicious parent processes such as Office applications, command shells, or download utilities, which is often indicative of malicious payload staging.
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 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 unauthorized processes (those not identified as standard web browsers) accessing browser profile directories (Local Storage or IndexedDB) associated with major AI platforms such as OpenAI, ChatGPT, Anthropic, and Copilot. This behavior is indicative of credential theft or session token exfiltration from local browser storage.
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 Python or a Cython module opening Chromium Login Data and Local State files outside browser execution. This activity is indicative of credential theft, specifically targeting web browser stored credentials.
This rule detects potential credential harvesting activity associated with the Hannibal Stealer. It looks for non-standard processes (processes other than the browsers themselves) that access sensitive browser credential stores (like 'Login Data', 'cookies.sqlite', or 'key4.db') and correlate these file access events with the loading of 'bcrypt.dll' or 'CefSharp.BrowsersSubprocess.dll', which are often used for decryption or browser automation/sub-processes during credential theft.
Detects evidence of potential data exfiltration activities including the execution of known exfiltration scripts, the use of netcat for unauthorized data transfer to a specific C2 IP, and the presence or access of BloodHound dump files. The rule also monitors for network communication with a known command and control IP address.
Detects unauthorized access to browser-based credential stores (such as Cookies and Login Data for Chrome, Edge, and Firefox) by non-browser processes. This behavior is a common indicator of credential harvesting by infostealer malware, such as Vidar, attempting to exfiltrate session cookies and stored credentials.
Detects unauthorized processes accessing browser credential databases (e.g., Login Data, Cookies, Web Data) associated with Chromium-based browsers on macOS. This behavior is indicative of credential harvesting often performed by infostealers like AMOS (Atomic macOS Stealer).
Detects suspicious processes (e.g., node.exe, chost.exe, python) accessing sensitive credential files and subsequently exfiltrating data to the Telegram Bot API via HTTPS POST requests within a 10-minute window. This behavior is indicative of infostealer malware, such as those observed in the Friday Harvest campaign, harvesting and exfiltrating system data.
Detects process command lines containing references to sensitive Unix system files (/etc/passwd or /etc/shadow) specifically when accessed within or in association with a /troot/ directory path. This pattern is often indicative of an adversary performing reconnaissance or credential dumping.
Detects Python scripts or processes accessing common browser credential and cookie storage files (such as Login Data, key4.db, or cookies.sqlite) and subsequently making outbound network connections, indicating potential theft and exfiltration of browser data.
AD Snapshot Is Compressed with 7zr
Cortex XDR
Detects the use of 7-Zip (7zr.exe) to compress Active Directory snapshot files (result.dat or snapshot) into an archive with a specific compression level (-mx=5). This activity could indicate an adversary staging data for exfiltration.
Detects the creation of an mcp.json file within the .amazonq directory, followed shortly by the execution of suspicious child processes (bash, python, curl, etc.) by VS Code (Code.exe). This pattern is often indicative of an adversary abusing developer tools or IDE extensions to perform credential discovery or data exfiltration from a development environment.
Detects Vidar Stealer scanning the memory of a forked browser process for the Chromium KeyRing 32-byte pattern using NtReadVirtualMemory and NtQueryVirtualMemory to locate the v20_master_key across MEM_COMMIT and MEM_PRIVATE regions. This behavior is indicative of an information stealer attempting to exfiltrate sensitive browser data.
Detects the execution of OSQL.EXE to perform a database table dump to a file on the local system. The rule specifically monitors for OSQL connecting to a local SQL instance (localhost or 127.0.0.1) and utilizing the output flag (-o) to save query results to a file with a .sql extension, which is a common indicator of unauthorized data staging or collection.
Detects instances where 'node.exe' is copying browser history SQLite databases (Chrome, Edge, Brave) to temporary directories, potentially indicating data exfiltration or staging. This behavior has been observed in supply chain attacks like the 'easy-day-js' incident involving the 'protocal.cjs' backdoor.
This rule detects shell reconnaissance activities associated with the TeamPCP threat group. Specifically, it looks for commands that parse '/var/log/auth.log' for successful logins or execute 'env | grep AWS_' to find AWS credentials. This behavior is indicative of an attacker attempting to gather authentication information or cloud credentials from a compromised system.
Detects access, copying, or creation of files within common cryptocurrency wallet directories, as well as registry lookups related to Bitcoin data directories. This behavior is often indicative of info-stealing malware or an adversary attempting to exfiltrate digital currency assets from a compromised host.
Detects Hannibal Stealer reconnaissance activity involving the creation of a 'config.json' file within the 'SCef.WindowsAdapter' directory, correlated with suspicious process executions attempting to enumerate system information via 'GetComputerNameEx' or 'GetAdaptersInfo' API calls.
Page 33 of 46