Detections

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

835 detections

This rule detects an unusually high number of file rename events (20 or more within a 1-hour window) initiated by a single process account. This behavior can be indicative of malicious activities such as data staging prior to exfiltration, ransomware encryption, or attempts to evade detection by renaming malicious files or legitimate system utilities.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
This rule detects a high volume of process creation events (EventID 4688) where the command line contains keywords indicative of patching or updating activity (e.g., 'patch', 'update', 'KB', 'hotfix'). Specifically, it triggers if 3 or more such events occur on a single computer within an hour. This could indicate legitimate system updates, but also potentially malicious activity masquerading as updates to evade detection or perform unauthorized actions.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
5 months ago
002
This rule detects HTTP requests where the User-Agent header appears to be faked or malformed. Specifically, it looks for a User-Agent string that starts with 'Mozilla/5.0' followed by an opening parenthesis, and then contains at least 200 characters before a closing parenthesis. This pattern is often used by malicious actors to evade detection by making their User-Agent string unusually long and potentially obfuscated, while still mimicking a common browser prefix.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
003
This detection identifies suspicious execution of update.exe processes launched by svchost.exe from user-writable directories such as AppData, Temp, Downloads, and Public folders.

This behavior is associated with malware techniques observed in the MiniFast campaign, where attackers use fake updater binaries and service-based execution chains to evade detection and maintain persistence.

The rule helps detect:

Malicious or fake update.exe execution
Abnormal parent-child process relationship (svchost.exe → update.exe)
Execution from non-standard user directories
Potential malware staging and execution behavior

This detection is intended to identify early-stage malware execution and suspicious process behavior linked to threat actor techniques described in recent threat intelligence reports.
avatar
Kumaresan Selladurai@KumaresanSelladurai
avatar
Detections.ai Community
5 months ago
120168
This query is a security detection rule: it flags when image file operations occur in tandem with executable file operations, which is often a sign of potential malware or intrusion activity.
avatar
Canister -@Canister
avatar
Detections.ai Community
5 months ago
80296
his detection identifies suspicious execution of update.exe processes launched by svchost.exe from user-writable directories such as AppData, Temp, Downloads, and Public folders.

This behavior is associated with malware techniques observed in the MiniFast campaign, where attackers use fake updater binaries and service-based execution chains to evade detection and maintain persistence.

The rule helps detect:

Malicious or fake update.exe execution
Abnormal parent-child process relationship (svchost.exe → update.exe)
Execution from non-standard user directories
Potential malware staging and execution behavior

This detection is intended to identify early-stage malware execution and suspicious process behavior linked to threat actor techniques described in recent threat intelligence reports.
avatar
Kumaresan Selladurai@KumaresanSelladurai
avatar
Detections.ai Community
5 months ago
20142
Detects suspicious scheduled task creation using schtasks.exe with XML task imports from user-writable directories such as AppData\Local. This behavior is associated with malware families like JustAskJacky, which establish persistence by creating GUID-named scheduled tasks that execute malicious payloads such as node.exe and obfuscated JavaScript files.
avatar
Morgan Nwaiku@sir_morganzee
avatar
Detections.ai Community
5 months ago
70221
This rule detects ASP.NET ViewState verification failures, specifically looking for Event ID 1316 and event message containing 'Event code: 4009'. This can indicate an attempt to tamper with the ViewState, potentially leading to deserialization vulnerabilities or other web application attacks.
avatar
Tim Peck@timpeck
avatar
Detections.ai Community
5 months ago
10260
Detects the execution of 'active_desktop_launcher.exe' (a legitimate signed KuGou binary) from unusual directories like ProgramData or AppData\Local\Temp. This behavior indicates potential DLL side-loading staging by the BoldTealLayer malware prior to executing its in-memory evasion chain.
avatar
Ethan Andrews@eandrews
avatar
Federal Signal Detections
5 months ago
1012
This rule detects various suspicious activities associated with a cryptojacking campaign, including the execution of 'RuntimeHost.exe' from unusual directories, creation of suspicious scheduled tasks, DLL side-loading followed by silent MSI execution, process hollowing into .NET utilities, Windows Defender exclusion attempts, and persistence mechanisms via startup folder shortcuts and registry run keys. These activities are indicative of an attacker establishing persistence and evading defenses to perform unauthorized cryptocurrency mining.
avatar
Aamir Muhammad@Aamir
avatar
Detections.ai Community
5 months ago
407
This rule detects the use of specific command-line flags in Google Chrome processes that are associated with the FlutterShell backdoor. These flags, '--hide-crash-restore-bubble' and '--disable-session-crashed-bubble', are used by FlutterShell to suppress crash warnings after forcing a restart, indicating an attempt to evade detection or maintain persistence.
avatar
Ethan Andrews@eandrews
avatar
Federal Signal Detections
5 months ago
109
This rule detects a high volume of process creation events (EventID 4688) where the command line contains keywords indicative of patching or updating activity (e.g., 'patch', 'update', 'KB', 'hotfix'). Specifically, it triggers if 3 or more such events occur on a single computer within an hour. This could indicate legitimate system updates, but also potentially malicious activity masquerading as updates to evade detection or perform unauthorized actions.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
000
This rule detects the loading of modules (DLLs or executables) from user-specific AppData folders that are not commonly observed across the environment. It specifically excludes common legitimate paths within AppData like 'Local\Programs' and 'Local\Temp' to reduce false positives. The rule identifies modules loaded by processes that also originate from an AppData folder, indicating potentially suspicious activity such as malware or custom tools operating from user-writable locations.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
000
Detects Hero proxyware artifacts being written or modified within the Windows SysWOW64 directory. Presence of these files may indicate installation of unauthorized proxy services or abuse of enterprise endpoints for traffic relaying.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
000
Identifies ScreenConnect client service execution initiated by trusted system processes (dfsvc.exe, services.exe) while referencing suspicious top-level domains (.top, .info, .site, .tk, .xyz, .pw, .ml, .club, .cf, ws) in the command line. This activity may indicate unauthorized remote access deployment or abuse of legitimate remote access tools.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
000
This rule detects the loading of modules (DLLs or executables) from user-specific AppData folders that are not commonly observed across the environment. It specifically excludes common legitimate paths within AppData like 'Local\Programs' and 'Local\Temp' to reduce false positives. The rule identifies modules loaded by processes that also originate from an AppData folder, indicating potentially suspicious activity such as malware or custom tools operating from user-writable locations.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
5 months ago
103
This suite of rules detects various activities associated with the Mini Shai-Hulud npm worm, including the execution of its payload via bun, network connections to its exfiltration domain, attempts by Node.js or Bun processes to access AWS IMDS for credential theft, access to local HashiCorp Vault instances, identification of known malicious script file hashes, and the installation of its specific malicious GitHub dependency.
avatar
Chris Parczyk@W4tch70w3r
avatar
Detections.ai Community
6 months ago
190738
Detects git commits authored by claude@users.noreply.github.com that may indicate
repository poisoning by the Mini Shai-Hulud worm.
avatar
Leonardo Gasparini@Leonardo.Gasparini
avatar
Detections.ai Community
6 months ago
40371
Detects git commits authored by claude@users.noreply.github.com that may indicate repository poisoning by the Mini Shai-Hulud worm.
avatar
Leonardo Gasparini@Leonardo.Gasparini
avatar
Detections.ai Community
6 months ago
70300
Detects the execution of binaries hidden in the C:\ProgramData directory with a .log extension matching a specific random pattern used by threat actors. This technique is often used for defense evasion and masquerading.
avatar
Ethan Andrews@eandrews
avatar
Federal Signal Detections
6 months ago
60297
Detects the creation of an executable file named 'sysd' in the '/usr/local/bin/' directory on Linux systems. The Nexcorium Mirai variant copies itself to this location to masquerade as a legitimate system process for persistence. This specific file name is not a standard Linux system daemon.
avatar
Elgonad .@elgonad
avatar
Detections.ai Community
6 months ago
20180
Page 28 of 40