Detections

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

752 detections

Detects the deletion of .pkg_history or .pkg_logs, an anti-forensic attempt after the dropper completes, associated with the Mastra NPM compromise.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects the Python wrapper and native dropper deleting their own unicode.py and terminate.dll components after the payload has been unpacked. The rule specifically looks for file deletion events where the target file name matches 'unicode.py' or 'terminate.dll' within common application data directories (site-packages, dist-packages, AppData, Temp) and the command line contains deletion-related keywords.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
002
Identifies the execution of the ClientDelete command designed to wipe traces of the Realtek-disguised malware from the disk. Specifically, it looks for 'cmd.exe' executing a 'del' command with 'RealtekAudio' in the path, which is a known pattern for AsyncRAT self-deletion.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Captures the self-deletion execution phase corresponding to Opcode 0x1B removing the implant from the host disk. This rule specifically looks for 'setup.exe' deleting itself.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects the SMBExec lateral movement pattern where a command is echoed to a temporary .bat file and then immediately deleted. This technique often involves using `cmd.exe` to write and execute commands on a remote system via administrative shares.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
005
Detects the payload cleaning up its tracks by recursively deleting the .laravel_locale temporary artifacts directory after exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects self-deletion commands (e.g., rm -f $0) used by Miasma payloads to remove their execution tracks from disk immediately after running. The rule specifically looks for process command lines containing 'rm', '-f', and either '$0' or '%~dp0', which are common patterns for self-deletion in shell scripts.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
This rule detects when a Key Vault item is deleted in Azure. Monitoring deletions of sensitive items like those in Key Vaults is crucial for detecting potential data exfiltration, sabotage, or unauthorized access attempts by adversaries.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
005
Detects bulk file deletion indicating a data destruction attack
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
104
This rule detects when a single process account initiates the deletion of 10 or more executable (.exe), dynamic link library (.dll), or system (.sys) files within a 5-minute window on a device. This behavior can be indicative of malicious activity such as malware cleanup, anti-forensics, or an attempt to disrupt system functionality.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
007
This rule detects when a Key Vault item is deleted in Azure. Monitoring deletions of sensitive items like those in Key Vaults is crucial for detecting potential data exfiltration, sabotage, or unauthorized access attempts by adversaries.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
006
Detects bulk file deletion indicating a data destruction attack
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
003
This rule detects an unusually high volume of object close operations (Event ID 4658) by a single user on a single computer within a one-hour window. This activity could indicate various malicious behaviors, including data collection for exfiltration, attempts to delete numerous files, or resource exhaustion attacks.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
009
Detects node.exe deleting a 24-character hexadecimal JavaScript file from the Temp directory after execution, which is indicative of the Mastra NPM supply chain attack.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
This rule detects an unusually high volume of file deletion events on a device within a short time frame (100 or more files deleted within a 5-minute window). This activity can be indicative of malicious behaviors such as ransomware encrypting and deleting original files, data wiping attacks, or an adversary attempting to remove forensic evidence by deleting logs or other critical files.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
007
This rule detects when multiple versions of files are deleted within SharePoint by a single user. This could indicate an attempt to remove historical data or cover tracks.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
204
Detects instances where an executable is deleted immediately after execution, a common defense evasion technique used by memory-resident malware like the JDY botnet. This rule specifically looks for shell processes executing 'chmod +x' or 'chmod 777' followed by 'rm' commands, often chained with '&&', ';', or '||', indicating immediate self-deletion after execution.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
3010
Detects clearing of Linux system log files to remove forensic evidence
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
102
Detects the deletion of staging artifacts using cmd.exe and the timeout command, a technique used by result.dll (GIFTEDCROOK) for self-deletion after exfiltration. This rule specifically looks for command-line patterns indicative of a delayed file deletion, often used by malware to remove its traces.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
4014
Detects the specific command-line sequence utilized by the SHEETCREEP dropper to delete itself (melt) and hide forensic traces using cmd.exe. This involves a delayed deletion using 'choice' and 'del /f /q' commands.
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Bryant Smith@flowstate
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Detections.ai Community
5 months ago
105
This rule detects a high volume of TCP traffic on port 445 (SMB) directed to the home network, specifically looking for the SMB protocol signature. The threshold of 500 connections within 30 seconds from a single source IP suggests an attempt at mass file deletion or disk wiping activity on network shares, often associated with ransomware or destructive malware.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
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