Detections

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

1,693 detections

KQL detects suspicious child processes launched by PHP or web-server workers following possible exploitation of CVE-2026-109618 or CVE-2026-109619.
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Syed Usfar Wasim@nCD24
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Detections.ai Community
1 day ago
31175
Detects PowerShell execution spawning 7zr.exe to extract password-protected 7z archives using overwrite and password switches within a specified timeframe, or referencing specific malicious IOC file names and domains.
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ills3c Intel&Coffee@Ills3C
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Detections.ai Community
21 hours ago
104
Detects the WinLol Rust dropper staging a DLL sideload by writing a copy of Microsoft OneDrive.exe and a proxy version.dll into a user temp directory by a non-OneDrive, non-installer process.
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Tim Peck@timpeck
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Detections.ai Community
13 days ago
1017
Detects PowerShell execution involving Base64 decoding or certutil decoding combined with writing files to the AppData directory using .NET I/O methods or PowerShell cmdlets.
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ills3c Intel&Coffee@Ills3C
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Detections.ai Community
10 days ago
108
Detects HTTP requests to the PeopleSoft PSEMHUB servlet using alternate
encodings such as the percent-encoded path %50SEMHUB. ShinyHunters/UNC6240 mass-exploit
Oracle PeopleSoft CVE-2026-35273 against internet-facing systems and encode the path to
defeat literal WAF signatures for /PSEMHUB/ (T1190, T1027).
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Georg Lauenstein@gsec
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SecOps Signals
9 days ago
005
Detects obfuscated PowerShell scripts that enumerate Microsoft.PowerShell.Utility exported commands
and invoke cmdlets indirectly by array index. This can be used to evade detections
that look for explicit strings such as Invoke-RestMethod or Invoke-Expression.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
21 days ago
7012
The following analytic detects the behavior of decoding base64-encoded data and passing it to a Linux shell. Additionally, it mitigates the potential damage and protects the organization's systems and data.The detection is made by searching for specific commands in the Splunk query, namely "base64 -d" and "base64 --decode", within the Endpoint.Processes data model. The analytic also includes a filter for Linux shells. The detection is important because it indicates the presence of malicious activity since Base64 encoding is commonly used to obfuscate malicious commands or payloads, and decoding it can be a step in running those commands. It suggests that an attacker is attempting to run malicious commands on a Linux system to gain unauthorized access, for data exfiltration, or perform other malicious actions.
Splunk Security@SplunkSecurity
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Splunk Security Content
15 days ago
001
The following analytic identifies the creation of a .crmlog file within the %windows%\Registration directory, typically with a format of <RANDOM_GUID>.<RANDOM_GUID>.crmlog. This detection leverages the Endpoint.Filesystem datamodel to monitor file creation events in the specified directory. This activity is significant as it is associated with the Snake malware, which uses this file for its operations. If confirmed malicious, this could indicate the presence of Snake malware, leading to potential data exfiltration, system compromise, and further malicious activities. Immediate investigation is required to mitigate the threat.
Splunk Security@SplunkSecurity
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Splunk Security Content
15 days ago
001
The following analytic detects the use of the base64 decode command on Linux systems, which is often used to deobfuscate files. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions that include "base64 -d" or "base64 --decode". This activity is significant as it may indicate an attempt to hide malicious payloads or scripts. If confirmed malicious, an attacker could use this technique to execute hidden code, potentially leading to unauthorized access, data exfiltration, or further system compromise.
Splunk Security@SplunkSecurity
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Splunk Security Content
15 days ago
000
The following analytic detects the use of the EncodedCommand parameter in PowerShell processes.
It leverages Endpoint Detection and Response (EDR) data to identify variations of the EncodedCommand parameter, including shortened forms and different command switch types.
This activity can be significant because adversaries often use encoded commands to obfuscate malicious scripts, making detection harder.
If confirmed malicious, this behavior could allow attackers to execute hidden code, potentially leading to unauthorized access, privilege escalation, or persistent threats within the environment.
Review parallel events to determine legitimacy and tune based on known administrative scripts.
Splunk Security@SplunkSecurity
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Splunk Security Content
15 days ago
000
Detects ClickFix-style attacks where a user is tricked into copying and pasting malicious, often obfuscated, commands into the Windows Run dialog or a command prompt. The detection identifies suspicious parent processes (like explorer.exe) spawning shell interpreters (powershell.exe, cmd.exe, mshta.exe) with inline encoded payloads or remote content retrieval patterns. It correlates these process executions with recent entries in the Windows RunMRU registry key to identify commands triggered via the Run dialog.
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Ibrahim Saud@tektrix
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Detections.ai Community
27 days ago
9012
Detects awk-based shell command construction on ESX BusyBox that interleaves
an esxcli/vim-cmd command string with invisible Unicode code points (zero-width space,
zero-width non-joiner/joiner, word joiner, Mongolian vowel separator, left/right-to-left
marks, or Plane-16 private-use characters generated via sprintf hex escapes), strips them
with gsub(), and passes the result to system(). CrowdStrike documented this as one of 21
validated ESX obfuscation techniques that leaves only the invisible-character-laden string
in shell logs while the executed command is fully hidden from cleartext review.
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Georg Lauenstein@gsec
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SecOps Signals
17 days ago
000
Detects anomalous execution of PowerShell commands spawned by processes identified as 'javaw.exe' or 'GlobalTellurSync.exe' (associated with DragonForce backdoor activity). The detection focuses on instances where these processes launch from non-standard user-writable directories (e.g., AppData, Temp) and execute PowerShell commands that contain obfuscated arguments or payloads, while excluding standard scheduled task invocations.
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Arnold Chan@slaz
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Detections.ai Community
24 days ago
104
This rule detects activities associated with the Star Blizzard (also known as APT28 or Callisto) group's CosmicPulse malware, specifically the downloader and Python-based backdoor. It monitors for suspicious CPL file execution via UNC paths by rundll32.exe or control.exe, unauthorized modifications to the HKCU\Software\Classes\.mollis registry key used for COM hijacking, and anomalous spawning of Python executables from control host processes in user-writable directories.
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Arnold Chan@slaz
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Detection & Hunting Community
28 days ago
409
Detects execution of common script interpreters (mshta, powershell, cmd, wscript) from typical UI-based process launch sources (explorer, RunDlg) when the command line includes indicators of malicious activity such as hidden window flags, obfuscated content, or remote URL downloads. This pattern is characteristic of ClickFix-style social engineering attacks where users are tricked into copying and executing malicious commands.
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Ibrahim Saud@tektrix
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Detections.ai Community
27 days ago
606
Detects a specific persistence chain attributed to DragonForce where the 'javaw.exe' process side-loads a malicious 'jli.dll' from a non-standard, user-writable directory. The rule correlates this DLL image load with the subsequent reading of an encrypted, host-bound payload file ('rvsdiqw.txt') by the same process, which is then decrypted and injected into memory.
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Arnold Chan@slaz
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Detections.ai Community
24 days ago
003
Matches distinctive DragonForce TURN/MQTT campaign artifact filenames only when combined with byte-level markers unique to the malware (PE structure, TURN/MQTT C2 infrastructure strings, or the loader's pipe-caret-pipe thread-trigger byte pattern), to avoid false positives on unrelated benign files sharing these names.
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Arnold Chan@slaz
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Detections.ai Community
24 days ago
003
Detects the execution of PowerShell with a bypass execution policy that performs a download or web request to save content to a file in the user's temp directory, followed by the immediate execution of that file. This pattern is characteristic of multi-stage malware droppers or fileless attack techniques attempting to stage and execute malicious scripts from temporary locations.
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Arnold Chan@slaz
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Detections.ai Community
29 days ago
608
Matches distinctive DragonForce TURN/MQTT campaign artifact filenames only when combined with byte-level markers unique to the malware (PE structure, TURN/MQTT C2 infrastructure strings, or the loader's pipe-caret-pipe thread-trigger byte pattern), to avoid false positives on unrelated benign files sharing these names.
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Arnold Chan@slaz
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Detection & Hunting Community
24 days ago
002
Detects DLLs potentially associated with the 'Lorem Ipsum Loader' malware family. These DLLs are designed to sideload into legitimate applications and contain embedded shellcode that is encoded as a sequence of English words to bypass entropy-based detection. The rule looks for the presence of the word-encoded blob alongside specific filenames commonly used in this sideloading technique.
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Ibrahim Saud@tektrix
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Detections.ai Community
26 days ago
003
Detects behavioral patterns associated with the Everest ransomware loader, specifically the execution of a .NET host process from a non-standard parent, potentially indicating process injection, combined with network activity indicative of lateral movement or discovery, such as Wake-on-LAN packets or SMB scanning.
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Ibrahim Saud@tektrix
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Detections.ai Community
28 days ago
004
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