Detections

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

4,543 detections

This rule monitors endpoint telemetry (DNS queries, network connections, file creation, and process execution) to identify matches against a predefined list of known malicious indicators, including IP addresses, domains, and file hashes (SHA256). The rule differentiates between confirmed malicious activity and low-confidence indicators, providing a prioritized view of potential threats.
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Arnold Chan@slaz
Defender - KQL
24 days ago
000
Detects a file named dnsapi.dll created/modified outside System32/SysWOW64/WinSxS (the only legitimate locations for the real system DLL). Now requires the file to BOTH land in one of the known NeedyMantis sideload staging folders AND match the published 3448-byte spoofed-config size -- previously the size check alone could match unrelated dnsapi.dll copies anywhere on disk; requiring both signals together removes that bypass.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
006
This rule detects a sequence of suspicious activities involving files placed in 'ProgramData\Firefox'. It identifies the creation or modification of a non-standard executable within this folder, followed by its execution by a trusted process (or itself), and the subsequent creation of a Registry run key for persistence. This pattern is often used by adversaries for persistence mechanism implementation using masqueraded file names.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
205
Detects the creation or modification of SSH authorized_keys or authorized_keys2 files. This is a common persistence technique used to maintain remote access by adding an adversary-controlled public key to a user's configuration, often performed after initial access through exploitation of public-facing services.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
207
Detects rapid creation of numerous .lnk shortcut files on removable media volumes, specifically targeting filenames that mimic common installers (e.g., ChromeSetup, AnyDesk). This behavior is characteristic of worm-like malware attempting to use removable drives for persistence and lateral movement by masquerading as legitimate software.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
306
Detects the creation of web shell-consistent files (.jsp, .jspx, .php, .cgi) within sensitive web application directories on Cisco Firepower Management Center (FMC) appliances. This rule is designed to identify potential post-exploitation activity associated with the authentication bypass vulnerability CVE-2026-20079, which has been observed being used by various threat actors to deploy web shells.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
106
Detects the specific behavior of the NeedyMantis malware where a file named 'encryptbase64.ps1' is written to disk but is not subsequently invoked by any PowerShell process. This is indicative of shellcode masquerading as a script file, where the file is loaded directly into a process's memory to perform ROR-based API hashing and unpacking of a minimized PE loader.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
005
Detects a suspicious sequence of events characteristic of NeedyMantis's hands-on-keyboard activity. The rule identifies file staging (creation or modification of suspicious DLLs from network shares) followed by remote command execution (via Impacket-like service interaction) and subsequent execution of binaries vulnerable to DLL sideloading.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
005
Detects the creation or renaming of files to a .aspx extension within specific web application directories (member file-upload). The rule specifically filters for file operations initiated by the IIS worker process (w3wp.exe) and requires a non-zero file size, identifying potential web shell deployment attempts.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
103
Detects the creation or renaming of files to a .aspx extension within specific web application directories (member file-upload). The rule specifically filters for file operations initiated by the IIS worker process (w3wp.exe) and requires a non-zero file size, identifying potential web shell deployment attempts.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
1003
Detects the download of a masqueraded MSP360 RMM v2.5.0.67 installer to the Downloads folder. The rule identifies files matching specific naming conventions, including generated GUIDs, or known malicious hashes, originating from common cloud storage providers often abused by threat actors.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
104
Detects instances where a browser extension is installed, followed within a two-hour window by the browser process making network connections to generative AI service domains. This behavior is indicative of potential malicious browser extension activity, such as scraping or exfiltrating session/browsing data to third-party AI backend services.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
3010
This rule monitors package installation logs for indicators of packages potentially generated or suggested by AI tools (e.g., Copilot, code assistants) being installed in a target environment. It specifically looks for a low volume of installations (<=3) for packages that have been published within the last 14 days, which is a pattern often associated with the 'Publish Hallucinated Entities' technique in AI systems, where malicious or hallucinated code packages are introduced into the supply chain.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
104
This rule detects typical behavior associated with infostealers targeting browser data, specifically the creation of compressed archives (.zip, .rar) in temporary directories (Temp or AppData) and the subsequent exfiltration of data via known webhook services (e.g., Discord, Telegram, Pastebin) or direct IP connections. It filters out common signed backup and synchronization software to minimize noise.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
203
This rule performs a retrospective search across device file and network events for indicators of compromise associated with the UNC6240/ShinyHunters actor's activity against PeopleSoft, specifically linked to CVE-2026-35273. It monitors for known malicious file hashes (JSP webshells and executables), connections to known C2 infrastructure, and DNS lookups for specific malicious domains.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
208
This rule performs a retrospective search across device file and network events for indicators of compromise associated with the UNC6240/ShinyHunters actor's activity against PeopleSoft, specifically linked to CVE-2026-35273. It monitors for known malicious file hashes (JSP webshells and executables), connections to known C2 infrastructure, and DNS lookups for specific malicious domains.
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Arnold Chan@slaz
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Hunters
1 month ago
408
This rule performs a retrospective search across device file and network events for indicators of compromise associated with the UNC6240/ShinyHunters actor's activity against PeopleSoft, specifically linked to CVE-2026-35273. It monitors for known malicious file hashes (JSP webshells and executables), connections to known C2 infrastructure, and DNS lookups for specific malicious domains.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
108
This rule detects potential exploitation of the Oracle PeopleSoft PSEMHUB component vulnerability (CVE-2026-35273). It identifies suspicious POST requests to the PSEMHUB HttpListeningConnector servlet, including obfuscated URL paths, followed by the creation of suspiciously named .jsp or .jspx files in the PSEMHUB.war application directory, which is indicative of a web shell deployment.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
008
Detects the installation of unauthorized AI-related browser extensions followed by outbound network communication from the browser process to known external AI service API endpoints within one hour. This behavior is indicative of potential data exfiltration via shadow AI tools, bypassing standard enterprise DLP controls.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
103
Detects the installation of unauthorized AI-related browser extensions followed by outbound network communication from the browser process to known external AI service API endpoints within one hour. This behavior is indicative of potential data exfiltration via shadow AI tools, bypassing standard enterprise DLP controls.
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Arnold Chan@slaz
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Hunters
1 month ago
203
Detects attempts to dump the Local Security Authority Subsystem Service (LSASS) process memory for credential harvesting. The rule monitors for unauthorized process access requests (e.g., PROCESS_VM_READ), suspicious file creation of memory dumps in common writeable directories, and command-line execution of tools or techniques commonly associated with LSASS dumping (e.g., Mimikatz, procdump, or abusing comsvcs.dll).
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
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