Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

4,545 detections

This rule monitors for potential abuse of the Microsoft Management Console (mmc.exe) to proxy malicious activity. It detects three primary behaviors: 1) mmc.exe being launched with a .msc file originating from user-writable or suspicious directories; 2) mmc.exe spawning known suspicious child processes (e.g., powershell.exe, cmd.exe, rundll32.exe); and 3) the creation or modification of .msc files in suspicious locations by processes other than mmc.exe or msiexec.exe.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
This rule detects ransomware activity by identifying two primary indicators: a high volume of file renames to common ransomware extensions within a 5-minute window, and the creation of known ransom notes across multiple directories. It excludes processes signed by trusted vendors to minimize noise.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects potential dynamic linker hijacking on Linux systems by monitoring for the use of non-standard LD_PRELOAD paths in process command lines or unauthorized modifications to the /etc/ld.so.preload configuration file, which can be used to inject malicious code into processes.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects the creation of suspicious named pipes by low-privilege processes, which is a technique used by local privilege escalation tools (like PrintSpoofer, RoguePotato, and GodPotato) to intercept and impersonate high-privilege (SYSTEM) tokens.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
003
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.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
003
Detects various techniques used by an attacker to escape a container environment or gain unauthorized access to host-level resources. This includes the execution of namespace manipulation tools (nsenter, unshare, chroot), unauthorized access to the docker.sock Unix socket, mounting of host filesystems from within a container, and direct attempts to access the host's /proc/1 namespace files.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
201
Detects potential PrintNightmare or Print Spooler exploitation by monitoring for the spoolsv.exe service spawning suspicious child processes (e.g., cmd, powershell, rundll32) and unauthorized files being dropped into the printer driver directory.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects behaviors associated with 'Bring Your Own Vulnerable Driver' (BYOVD) attacks, including the dropping of .sys driver files into non-canonical directories, the registration and execution of kernel services via sc.exe, the use of fltMC to load filter drivers, and the loading of driver modules from non-standard locations.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects behavior consistent with the SharkLoader malware, including the creation of malicious components in %APPDATA% subdirectories (xwreg, xgdf), the execution of SystemSettings.exe from these non-standard directories, and the execution of commands via cmd.exe initiated from these paths. It also identifies file staging activities in %TEMP%\aswerf.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects the creation of image-related files with generic names in common temporary or user download directories that fall within a specific file size range (100KB-1000KB). These characteristics are often indicative of steganography where malicious payloads or data are embedded within seemingly benign image files to bypass security controls.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
005
Detects anomalous network communication patterns and file system changes indicative of SoftEther VPN usage, particularly when linked to processes masquerading as VMware or communicating with known malicious C2 infrastructure. The rule monitors for network connections on common SoftEther ports, connections to specific command-and-control IP addresses, and the creation of SoftEther configuration files like 'hamcore.se2' or 'vpn_bridge.config'.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects evidence of RustDesk session permission bypass exploitation. The rule monitors for the presence of known Proof-of-Concept (PoC) file artifacts, suspicious child processes spawned by RustDesk, use of elevated tokens by RustDesk-initiated processes, compilation of PoC tools using cargo, and outbound network connections from RustDesk to known relay ports.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
002
This rule detects suspicious staging activity by monitoring for the creation of 'editor.dat' files in sensitive directories like C:\Users\Public or C:\Windows\Tasks, or the rapid accumulation of multiple executable files (.exe, .dll, .cpl) within the C:\Users\Public directory, which is a common technique used by attackers to stage tools before execution or lateral movement.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
This rule detects file creation or modification events associated with the Miasma campaign. It identifies specific payload files (e.g., .claude/setup.mjs, .vscode/tasks.json), the use of specific marker strings in file metadata or origin URLs, and obfuscated task configurations in VS Code directories that leverage bun or node to execute base64-encoded or character-encoded commands.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects instances where the legitimate Windows utility 'Fondue.exe' (Features on Demand) loads the control panel library 'APPWIZ.cpl' from non-standard locations such as C:\Users\Public or AppData directories. It also identifies the staging phase where 'APPWIZ.cpl' is written to 'C:\Users\Public', which is indicative of a DLL side-loading attack sequence, often associated with the Elephant malware dropper.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
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.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
003
Detects anomalous behavior associated with the PHP 8.5.7 SOAP remote code execution (RCE) vulnerability. The detection monitors for PHP/PHP-FPM processes spawning suspicious child processes (e.g., shell, python, powershell), the creation of specific exploitation marker files (e.g., php857_rce, rpoc.php), and suspicious command-line patterns indicative of payload execution or command-based exploitation techniques.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
102
Detects the execution of 7-Zip self-extracting archive components (specifically a specific version of 7ZSfxMod) extracted to a temporary directory structure mimicking Google Chrome updates. This pattern is associated with the Pay2Key ransomware infection chain, where setup.cmd and 7za.exe are dropped to facilitate malicious activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
102
Detects suspicious activities associated with malicious npm package installations, including Node.js spawning shells during lifecycle hooks (preinstall, postinstall), connections to known command-and-control (C2) domains used in software supply chain campaigns, and the creation of artifacts within the node_modules directory.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects indicators of the MYRA rootkit, specifically the creation of a hidden shared library in /usr/local/lib/, persistence via a shell script in /etc/profile.d/, and the execution of processes utilizing the LD_PRELOAD environment variable to load the malicious library.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects Node.js processes engaging in suspicious behaviors related to supply chain or second-stage attacks. This includes executing scripts from hidden .peer/ directories, accessing specific staging script filenames, and performing DNS requests or network connections to the known malicious domain data-stream.space.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
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