Detections

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

2,285 detections

Detects the creation or modification of a browser extension's manifest.json file that overrides the default search provider to a known malicious or suspicious domain. This technique is used by extensions like 'DPS Websafe' and 'Stock Informer' for search hijacking.
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Elgonad .@elgonad
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Detections.ai Community
9 months ago
1048
Detects attempts to modify Pluggable Authentication Modules (PAM) configuration files. Attackers may modify PAM configurations to bypass authentication, such as by adding `pam_permit.so` or changing module control flags from `required` to `sufficient` or `optional`.
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yasser djehaf@cifer
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Detections.ai Community
9 months ago
1042
Detects when a Visual Studio Code configuration file is modified, followed by the execution of a shell or networking tool by VS Code. This pattern may indicate abuse of GitHub Copilot via prompt injection (CVE-2025-53773) to achieve remote code execution.
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Steve Lon@trust1n
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Detections.ai Community
9 months ago
0029
Detects ransom note creation associated with Yurei ransomware.
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Georg Lauenstein@gsec
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SecOps Signals
10 months ago
01138
Detects AI/ML model configuration files (e.g., config.json, model_config.yaml) containing a suspicious '_target_' value, which could indicate an attempt to exploit a Hydra instantiation vulnerability for remote code execution (RCE).
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nomit vyas@xoxo
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Detections.ai Community
10 months ago
3076
This rule detects suspicious Launch Daemons on macOS by looking for files created or modified in the `/Library/LaunchDaemons/` directory. It filters out known legitimate binaries and then flags any remaining files that have low global prevalence (less than 2500 instances) and were first seen more than 90 days ago. Additionally, it checks if the certificate is invalid or not signed by Microsoft, indicating potential malicious activity. This rule is intended for hunting and not for direct alerting due to the need for whitelisting.
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Benjamin Zulliger@benscha
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Detections.ai Community
10 months ago
391304
This rule detects potential timestomping activity by identifying files where the creation time is later than the modification time. This behavior can indicate an adversary attempting to manipulate file timestamps to evade detection or forensic analysis. The rule specifically targets executable and script file extensions.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
10 months ago
92268
Detects the creation or modification of the '/tmp/sslvpn.log' file, a known artifact of a new Linux variant of the Lazarus BADCALL backdoor.
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Tim Peck@timpeck
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Detections.ai Community
10 months ago
0073
This rule detects the creation or modification of executable files with a single-character filename followed by '.exe' (e.g., 'a.exe', 'b.exe'). This pattern is often used by adversaries to evade detection or to make malicious files less conspicuous. The rule specifically excludes 'R for Windows front-end' to reduce false positives related to legitimate software.
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F S@Fsdr
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Detections.ai Community
11 months ago
494328
Detects the creation or modification of files with SHA256 hashes known to be associated with the Shai-Hulud 2.0 npm supply chain attack campaign. This rule specifically looks for file creation or renaming events where the SHA256 hash of the file matches a predefined list of malicious hashes.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
320250
This rule detects the creation or modification of files associated with the Shai-Hulud 2.0 worm. The detection is based on specific file hashes and a behavioral rule for an unusually large 'bun_environment.js' file, which is a key indicator of the malware's obfuscation techniques.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
80194
This rule detects the creation or modification of a GitHub Actions workflow file named 'discussion.yaml' within the '.github/workflows/' directory. This is a known persistence technique used by the Shai-Hulud 2.0 worm to register an infected machine as a self-hosted runner, allowing attackers to execute arbitrary commands.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
10156
This query identifies an anomalous pattern associated with behavior performed by NotDoor to establish persistence and avoid its detection.
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JC .@0x1blife
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Detections.ai Community
11 months ago
91208
This rule detects the creation or modification of files associated with the Shai-Hulud 2.0 worm. The detection is based on specific file hashes and a behavioral rule for an unusually large 'bun_environment.js' file, which is a key indicator of the malware's obfuscation techniques.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
1089
Detects the creation or modification of files, particularly shared objects (.so), on Android devices with overly permissive '777' (rwxrwxrwx) permissions. This behavior is a known tactic of the LANDFALL spyware, which sets these permissions on its staged components like 'dec_a.so' to ensure they are executable.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
0038
Detects the creation or modification of .plist files in macOS Launch Agent and Launch Daemon directories. This activity can be indicative of persistence mechanisms being established by adversaries. The rule excludes modifications by common system installers to reduce false positives.
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Benjamin Zulliger@benscha
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Detections.ai Community
1 year ago
385357
Detects the use of the 'attrib.exe' utility to set the hidden attribute on a .lnk file. Adversaries may use this technique to hide malicious shortcuts used for persistence or initial execution.
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ᴅᴜᴛᴄʜʙᴏʏ 😎@dutchboy
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DROID
1 year ago
713514
Detects the potential abuse of the Linux Magic SysRq (System Request) key by adversaries with root or sufficient privileges
to silently manipulate or destabilize a system. By writing to /proc/sysrq-trigger, they can crash the system, kill processes,
or disrupt forensic analysis—all while bypassing standard logging. Though intended for recovery and debugging, SysRq can be
misused as a stealthy post-exploitation tool. It is controlled via /proc/sys/kernel/sysrq or permanently through /etc/sysctl.conf.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
11 months ago
000
Detect unix shell configuration modification. Adversaries may establish persistence through executing malicious commands triggered when a new shell is opened.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
11 months ago
000
This query hunts for .lnk (shortcut) files that are either newly created or have the hidden attribute set, located in common Windows startup folders. Attackers often place LNK files in these locations to establish persistence.
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ᴅᴜᴛᴄʜʙᴏʏ 😎@dutchboy
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DROID
1 year ago
580404
This rule detects the creation or modification of files within specific macOS directories associated with LoginWindow hooks and Authorization Plugins. These locations are commonly abused by adversaries to establish persistence or elevate privileges by injecting malicious code that executes during the login process. The rule specifically looks for file events in '/Library/Security/SecurityAgentPlugins/', '/System/Library/CoreServices/SecurityAgentPlugins/', '/Library/Security/SecurityAgentPlugins.bundle', or any file activity within a 'loginwindow' path. It excludes activities initiated by legitimate installers and software updaters to reduce false positives. Additionally, it filters for files with low global prevalence, indicating potentially suspicious or custom binaries.
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Benjamin Zulliger@benscha
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Detections.ai Community
1 year ago
204221
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