Detections

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

40,063 detections

This rule monitors for file and process creation events associated with known MD5 and SHA256 hashes linked to the Vidar infostealer malware.
avatar
Arnold Chan@slaz
avatar
Hunters
2 months ago
002
This rule monitors for file and process creation events associated with known MD5 and SHA256 hashes linked to the Vidar infostealer malware.
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
2 months ago
002
Matches known Vidar Stealer sample SHA256 hashes spanning versions 2.0 through 3.4 as identified by Zscaler ThreatLabz
avatar
Arnold Chan@slaz
avatar
Detection & Hunting Community
2 months ago
002
Matches known Vidar Stealer sample SHA256 hashes spanning versions 2.0 through 3.4 as identified by Zscaler ThreatLabz
avatar
Arnold Chan@slaz
avatar
Midnight Slayer
2 months ago
002
Detects Vidar Stealer v2.x-3.x custom VM bytecode interpreter used to deobfuscate strings via a fetch-decode-execute loop with sparse opcode dispatch and single accumulator
avatar
Arnold Chan@slaz
avatar
Hunters
2 months ago
002
Detects Vidar's custom stream cipher used for string/config decryption: FNV-1a mixing of the VM-derived key combined with golden-ratio nonce mixing and per-build ARX round constants
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
2 months ago
002
Detects creation of a token.cmd file in AppData followed by its execution via cmd.exe within a 5-minute window.
avatar
Arnold Chan@slaz
avatar
Midnight Slayer
2 months ago
003
Detects creation of a token.cmd file in AppData followed by its execution via cmd.exe within a 5-minute window.
avatar
Arnold Chan@slaz
avatar
Hunters
2 months ago
003
Detects a process that deletes its own executable or script file within a short time window after launch, which is a technique used by some implants.
avatar
Arnold Chan@slaz
avatar
Midnight Slayer
2 months ago
003
Detects the execution of the AnyDesk remote support tool while Microsoft Teams is currently running. This pattern is often indicative of social engineering or tech support scams where an attacker convinces a victim to run remote access software during a call.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
2 months ago
003
Detects instances where a parent Node.js process spawns a child Node.js process using a command line structure often associated with malicious npm packages. These packages frequently attempt to execute loader scripts in a detached or background manner to evade detection while maintaining persistence or performing malicious operations.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
2 months ago
103
Detects instances where a Node.js process spawns another Node.js process as a child. This behavior is often associated with malicious npm packages attempting to evade detection during runtime execution or executing secondary malicious payloads.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
2 months ago
103
Detects suspicious PowerShell commands involving node.js, hidden window styles, and file downloads or transfers.
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
2 months ago
103
Detects the presence of file artifacts associated with the Xray-core proxy tool when used as an implant via DLL sideloading. The rule identifies specific files (radcui.dll, config.json, comsrv.dat, KB85809588.bat) or malicious configuration patterns indicating proxy traffic (VLESS/VMess/outbound/inbound) targeting known C2 endpoints.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
2 months ago
103
Detects persistence attempts using Component Object Model (COM) hijacking by modifying HKCU CLSID InProcServer32 registry keys. The rule specifically identifies instances where the registry value points to a DLL file located within the user's AppData or LocalAppData directories, excluding typical system or program directories, as seen in sideloading persistence chains.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
2 months ago
003
Detects the GHAPPIER loader identified across 65 public npm/GitHub repositories and 22 developer accounts, based on its embedded remote-fetch/eval pattern and campaign markers
avatar
Arnold Chan@slaz
avatar
Midnight Slayer
2 months ago
003
Detects the GHAPPIER loader identified across 65 public npm/GitHub repositories and 22 developer accounts, based on its embedded remote-fetch/eval pattern and campaign markers
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
2 months ago
103
This rule monitors for network connections to known malicious domains and IP addresses, as well as the presence or execution of files with specific SHA256 hashes known to be associated with threat activity. The indicators focus on Vercel-hosted domains and specific file hashes linked to recent campaign activity.
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
2 months ago
003
This rule monitors for network connections to known malicious domains and IP addresses, as well as the presence or execution of files with specific SHA256 hashes known to be associated with threat activity. The indicators focus on Vercel-hosted domains and specific file hashes linked to recent campaign activity.
avatar
Arnold Chan@slaz
avatar
Midnight Slayer
2 months ago
103
This rule monitors for network connections to known malicious domains and IP addresses, as well as the presence or execution of files with specific SHA256 hashes known to be associated with threat activity. The indicators focus on Vercel-hosted domains and specific file hashes linked to recent campaign activity.
avatar
Arnold Chan@slaz
avatar
Hunters
2 months ago
003
This rule monitors for network connections to known malicious domains and IP addresses, as well as the presence or execution of files with specific SHA256 hashes known to be associated with threat activity. The indicators focus on Vercel-hosted domains and specific file hashes linked to recent campaign activity.
avatar
Arnold Chan@slaz
avatar
Detection & Hunting Community
2 months ago
003
Page 263 of 1908