Detections

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

1,793 detections

Detects when a potentially malicious file (such as a macro-enabled document, executable, or script) is created within a directory configured as a Microsoft Office Trusted Location. Attackers may place malicious files in these locations to ensure they are opened by the user without security warnings (like Protected View or macro-blocking), facilitating code execution. This rule correlates file creation events with trusted paths dynamically enumerated from the device's registry.
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Paul P@ppritch
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Detections.ai Community
9 months ago
11087
Detects when a Microsoft Office application (Word, Excel, PowerPoint, Outlook, Publisher, Visio, Access) spawns a suspicious child process. The child processes include commonly abused Windows utilities such as PowerShell, cmd, wscript, cscript, mshta, rundll32, certutil, bitsadmin, and regsvr32. This behavior can indicate malicious code execution originating from an Office document, often associated with phishing or document-based malware.
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nomit vyas@xoxo
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Detections.ai Community
9 months ago
5050
Detects the execution of a hidden PowerShell window that uses Invoke-WebRequest to download and then execute a second-stage PowerShell script. This behavior is characteristic of the IClickFix framework's "ClickFix" social engineering tactic used to deliver malware like NetSupport RAT.
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Elgonad .@elgonad
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Detections.ai Community
9 months ago
2051
Detects instances where Visual Studio Code spawns a shell process to download a remote script via tools like 'curl' or 'wget' and pipe it directly into the Node.js runtime. This technique has been observed in the "Contagious Interview" campaign, where threat actors abuse VS Code's 'tasks.json' to execute malicious payloads in memory.
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Swachchhanda Shrawan Poudel@_swachchhanda_
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Detections.ai Community
9 months ago
0045
Detects a Windows script host (wscript.exe or cscript.exe) spawning a Java process to execute a JAR file, a behavior observed in STRRAT malware delivery chains.
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nomit vyas@xoxo
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Detections.ai Community
9 months ago
0022
Detects executable files with names containing PDF-related keywords (e.g., 'pdf', 'convert', 'editor') being dropped in the Downloads folder by a web browser process. This behavior is typical of users downloading potentially unwanted or malicious PDF converters, often delivered via SEO poisoning or malvertising campaigns.
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Elgonad .@elgonad
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Detections.ai Community
9 months ago
134158
Detects the execution of a piped command chain typical of 'ClickFix' lures used by the MacSync infostealer. The malware tricks users into pasting a command into the terminal which uses curl to download a payload, decodes it with base64, and pipes it directly into a shell (zsh, sh) or osascript for execution, bypassing macOS security controls like Gatekeeper.
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Tim Peck@timpeck
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Detections.ai Community
9 months ago
82167
Detects the execution of the TamperedChef payload 'PDF Editor.exe' from its specific, non-standard installation directories within user profiles.
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Elgonad .@elgonad
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Detections.ai Community
9 months ago
2125
Detects a malicious PDF dropper that uses specific objects and patterns indicative of malware activity.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
10 months ago
5140
Detects commands accessing a remote WebDAV share hosted on a trycloudflare.com domain. This technique has been observed in AsyncRAT campaigns where a malicious Internet Shortcut (.url) file initiates the connection to download and execute further payloads.
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Elgonad .@elgonad
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Detections.ai Community
10 months ago
101113
This rule detects files matching known SHA256 hashes associated with the VoidLink malware framework. This is a high-fidelity indicator with a very low chance of false positives.
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Ethan Andrews@eandrews
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Federal Signal Detections
10 months ago
5026
Detects the creation and subsequent execution of a masqueraded binary named "CertificationKit.ini" in the C:\ProgramData directory. This technique has been observed in recent MuddyWater campaigns where a .ini file extension is used to disguise an executable, which is then launched via cmd.exe.
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Ethan Andrews@eandrews
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Federal Signal Detections
10 months ago
4055
Detects the creation of abnormally large Windows shortcut (.lnk) files. This is a known TTP of APT36 (Transparent Tribe), who embed PDF content within LNK files to inflate their size and masquerade as legitimate documents to deceive users. The rule specifically looks for .lnk files with a size greater than 1MB.
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Steve Lon@trust1n
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Detections.ai Community
10 months ago
471353
Detects a ClickFix attack chain involving an email client opening a browser to a suspicious domain, followed by a file download, and subsequent execution via cmd.exe from explorer within a short timeframe. This chain of events is indicative of a social engineering attack designed to trick users into executing malicious files.
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Jorden Smith@Jorden
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SimSpace Public
10 months ago
1034
Detects cmd.exe spawning processes with document file extensions, indicating a PE binary masquerading as a document
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Jorden Smith@Jorden
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SimSpace Public
10 months ago
0026
Detects the execution of a batch file from a common user directory (e.g., Downloads, Desktop) that immediately launches an executable file. This pattern was observed in a Webrat malware campaign where a `start_exp.bat` file was used to launch the primary malicious payload, `rasmanesc.exe`, tricking users into running it after extracting a fake exploit archive.
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Tim Peck@timpeck
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Detections.ai Community
10 months ago
180196
Detects the execution of a process from a newly connected external media device on Windows. This rule correlates the detection of a new Plug and Play (PnP) device with a drive letter (excluding C:\) and subsequent process creation from that drive letter. It requires Plug and Play auditing to be enabled.
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Oliver W@oliverw
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Detections.ai Community
10 months ago
1053
Detects Microsoft Excel spawning an executable in a typical malware staging directory directory. This behavior is a strong indicator of a malicious XLL loader used by the Paper Werewolf (GOFFEE) group to drop the EchoGather backdoor.
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Tim Peck@timpeck
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Detections.ai Community
11 months ago
4070
Detects when AppLocker prevents the execution of an Application, DLL, Script, MSI, or Packaged-App from running.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
10 months ago
001
This rule detects 3 types of suspicious activities: first, the presence of files matching a list of known malicious SHA256 hashes associated with Sha1-Hulud; second, suspicious process behavior involving file deletion commands and third traffic towards potential C2.
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Vaasudev K@SIEMThatComing
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Detections.ai Community
11 months ago
391389
This rule detects various activities associated with the Sha1-Hulud campaign, including the creation of malicious files (setup_bun.js, bun_environment.js) identified by their SHA256 hashes or filenames within .npm directories. It also identifies the execution of malicious preinstall scripts involving 'node' and 'setup_bun.js'. Furthermore, the rule looks for persistence mechanisms related to GitHub Actions, specifically the creation of 'discussion.yaml' within '.github/workflows' or 'run.sh'/'config.sh' within '/.dev-env/'. Finally, it detects destructive commands used as a fallback, targeting both Linux (using 'find', 'shred', 'xargs', 'delete') and Windows (using 'del', 'rd' on '%USERPROFILE%').
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Aamir Muhammad@Aamir
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Detections.ai Community
11 months ago
391278
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