Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
3,989 detections
Filters
Last updated
All Time
Detection languages
1,774
868
397
195
188
Contributors
1,070
924
756
221
96
Categories
2,448
1,307
1,164
785
713
Platforms
2,415
1,310
658
528
133
Products / Services
1,307
886
808
561
337
MITRE Techniques
18,128
15,651
12,599
8,410
6,235
3,989
CVEs
6
5
5
5
5
IDS Classtypes
564
275
11
8
6
IDS Protocols
537
174
64
64
12
Detects network activity and HTTP traffic associated with the Iron Man System kit, specifically targeting hardcoded C2 infrastructure (IP-based) and lure domain patterns involving specific brand tokens combined with disposable TLDs.
Detects network traffic matching a list of known malicious domains and IP addresses observed in CommonSecurityLog events.
Detects DNS queries, HTTP host headers, and TLS SNI traffic associated with the SilverFox relay and dispatch infrastructure. These indicators are commonly used by the SilverFox malware for command and control (C2) communications.
Detects the MovieReaper payload behavior where a specific file manager process masquerading as a legitimate system utility (msedge.exe) performs mass file enumeration or access followed by suspicious outbound network connections, indicative of data staging and exfiltration.
This rule detects a multi-stage malicious behavior chain: the execution of a suspected loader (identified by hash or specific mutex), followed by network communication to a known C2 domain or IP, and concluded by the placement of a file in the Windows Telemetry folder (typically mimicking msedge.exe). The events are correlated within a short time window (2 hours between each stage) on the same device.
This rule detects the presence of the Amatera (ACR Stealer) loader by identifying characteristic indicators, including specific Telegra.ph dead-drop URLs, domain-fronting artifacts using github.com, and hardcoded C2 IP addresses. It also identifies credential theft targeting by searching for artifacts related to password managers such as KeePass, Bitwarden, WinAuth, and Authy, combined with the presence of C2 communication indicators.
This rule detects outgoing HTTP POST requests to the public BSC testnet RPC endpoint ('bsc-testnet-rpc.publicnode.com') containing an 'eth_call' request, which is a technique used by the 'EtherHiding' campaign to fetch malicious JavaScript payloads directly from blockchain smart contracts, bypassing traditional web-based C2 infrastructure.
Detects network traffic attempting to download malicious PowerShell payloads via WebDAV from the domain leaguejazire.com, which is associated with the ClearFake malware campaign.
Detects activity associated with the 'MovieReaper' threat campaign by identifying known malicious file hashes, command and control (C2) IP addresses, and communication with identified malicious domains. This rule monitors process execution, file operations, and network connections within the campaign's active timeframe.
This rule monitors network traffic, DNS queries, and user web clicks to detect interactions with known malicious domains associated with credential harvesting and phishing campaigns, specifically those impersonating security or SSO portals.
Detects network traffic indicative of an adversary using the Ethereum blockchain as a dead-drop C2 channel. The rules identify specific JSON-RPC methods (eth_getTransactionByHash, eth_call) typically associated with querying blockchain data for C2 instructions, as well as non-browser processes initiating these requests to external endpoints.
Movie Reaper Activity
YARA-L
Detects activity associated with MovieReaper campaign including process, file, and network indicators
Movie Reaper Activity
YARA-L
Detects activity associated with MovieReaper campaign including process, file, and network indicators
Movie Reaper Activity
YARA-L
Detects activity associated with MovieReaper campaign including process, file, and network indicators
Movie Reaper Activity
YARA-L
Detects activity associated with MovieReaper campaign including process, file, and network indicators
Detects indicators of compromise related to the TraderTraitor (KelpDAO) threat actor, including specific file hashes, malicious process paths, C2 network infrastructure (IPs and domains), and malicious TLS certificates. The rule uses filename-path matching to reduce noise from legitimate macOS binaries.
Detects indicators of compromise related to the TraderTraitor (KelpDAO) threat actor, including specific file hashes, malicious process paths, C2 network infrastructure (IPs and domains), and malicious TLS certificates. The rule uses filename-path matching to reduce noise from legitimate macOS binaries.
Detects indicators of compromise related to the TraderTraitor (KelpDAO) threat actor, including specific file hashes, malicious process paths, C2 network infrastructure (IPs and domains), and malicious TLS certificates. The rule uses filename-path matching to reduce noise from legitimate macOS binaries.
Detects the execution of network utilities like finger.exe or curl.exe (with download parameters) initiated by a command shell (cmd.exe, powershell.exe, or pwsh.exe). This pattern is often used by adversaries for reconnaissance or downloading malicious payloads.
Detects the GHAPPIER loader pattern: a top-level require('https').get() call to the primevector-app924560.vercel.app C2 that evals the response, disguised inside a large benign-looking JavaScript benchmark file
This rule detects network traffic originating from the local network to external destinations that exhibit characteristics associated with the Xray-core tool, specifically the use of a spoofed TLS Server Name Indication (SNI) of 'dl.google.com' paired with a server certificate that does not contain 'Google' in the subject. This technique is used to bypass network filters by masquerading command and control traffic as legitimate Google traffic.
Page 56 of 190