Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects activity associated with the CARBONATO botnet utilizing the GH0ST RAT agent to locate, stage, and exfiltrate sensitive AI API keys. The detection monitors for file write operations within specific hidden directories ('/root/.hermes/loot/') and the use of malicious command-line patterns or process context associated with Hermes Agent or GH0ST malware to search for configuration files (e.g., .env) containing sensitive API credentials.
Detects known file hashes associated with SideCopy/ReverseRAT.
This rule monitors for interactions with known malicious files (by SHA256 hash), connections to confirmed C2 infrastructure (specific IP address and domains), or requests to known malicious URLs. It aggregates indicators across file, process, network, and web browsing telemetry to identify potential threats or compromised systems communicating with known attacker infrastructure.
This rule monitors for indicators of compromise (IOCs) associated with Operation SideCopy, including specific file hashes, known command-and-control (C2) IP addresses, malicious domains, and URLs. It triggers on file creation, process execution, and network connections matching these known indicators.
This rule monitors for indicators of compromise (IOCs) associated with the threat actor SideCopy and their associated malware, such as ReverseRAT. It hunts for specific malicious SHA256 file/process hashes, connections to known malicious C2 infrastructure (IPs and domains), requests to known malicious URLs, and user interaction with these URLs via email clicks.
Detects execution and network activity related to the PamStealer / Wavel malware campaign, including the JXA dropper and associated C2 infrastructure. The rule monitors for known malicious file hashes (e.g., JXA dropper, pkgunpack utility) and network connections to identified lure, distribution, and C2 domains and URLs used by the campaign.
Detects execution and network activity related to the PamStealer / Wavel malware campaign, including the JXA dropper and associated C2 infrastructure. The rule monitors for known malicious file hashes (e.g., JXA dropper, pkgunpack utility) and network connections to identified lure, distribution, and C2 domains and URLs used by the campaign.
Detects network communication with infrastructure identified as SilkParasite command and control by matching specific TLS certificate subjects and SHA-256 fingerprints associated with SpiceRAT.
Detects the presence of known Vidar infostealer samples by matching file hashes against a list of identified malicious artifacts. The rule monitors for file creation events, process execution (both as the primary process and as an initiating process), and network activity originating from these known malicious files.
Detects the presence of known Vidar infostealer samples by matching file hashes against a list of identified malicious artifacts. The rule monitors for file creation events, process execution (both as the primary process and as an initiating process), and network activity originating from these known malicious files.
Detects the presence of known Vidar infostealer samples by matching file hashes against a list of identified malicious artifacts. The rule monitors for file creation events, process execution (both as the primary process and as an initiating process), and network activity originating from these known malicious files.
This rule detects potential malicious activity by matching file hashes against a known list of malicious indicators and monitoring for suspicious network connections. The network monitoring includes connections to hardcoded malicious IP addresses, specific C2 URLs, and DNS queries for known fallback domains used in malicious infrastructure when the initiating process is not a recognized web browser or wallet application.
This rule detects potential malicious activity by matching file hashes against a known list of malicious indicators and monitoring for suspicious network connections. The network monitoring includes connections to hardcoded malicious IP addresses, specific C2 URLs, and DNS queries for known fallback domains used in malicious infrastructure when the initiating process is not a recognized web browser or wallet application.
Detects the reflectively-loaded SectopRAT .NET payload by its combination of heavy calli (indirect call) opcode usage for control-flow flattening and its characteristic runtime string-decryption helper method used to resolve the C2 IP/port and other obfuscated strings
Detects the reflectively-loaded SectopRAT .NET payload by its combination of heavy calli (indirect call) opcode usage for control-flow flattening and its characteristic runtime string-decryption helper method used to resolve the C2 IP/port and other obfuscated strings
Detects the reflectively-loaded SectopRAT .NET payload by its combination of heavy calli (indirect call) opcode usage for control-flow flattening and its characteristic runtime string-decryption helper method used to resolve the C2 IP/port and other obfuscated strings
Detects network communication associated with the SectopRAT/ArechClient2 remote access trojan, specifically identifying its characteristic length-prefixed, AES-encrypted command-and-control handshake on non-standard ports. The rule matches traffic containing a specific length-prefixed packet structure starting with null bytes, typically seen during C2 check-in.
Detects network communication associated with the SectopRAT/ArechClient2 remote access trojan, specifically identifying its characteristic length-prefixed, AES-encrypted command-and-control handshake on non-standard ports. The rule matches traffic containing a specific length-prefixed packet structure starting with null bytes, typically seen during C2 check-in.
Detects network communication associated with the SectopRAT/ArechClient2 remote access trojan, specifically identifying its characteristic length-prefixed, AES-encrypted command-and-control handshake on non-standard ports. The rule matches traffic containing a specific length-prefixed packet structure starting with null bytes, typically seen during C2 check-in.
Detects execution of the Go runtime invoking a local module ('go run .') initiated by infrastructure-as-code tools like Terraform or standard command-line interpreters. This pattern matches the behavior of the Graphalgo RAT, which uses a hash-gated mechanism within malicious modules to trigger a second-stage payload.
Detects HTTP GET requests to external services 'trycloudflare.com' or 'workers.dev' that return a file content starting with the 'MZ' and 'PE' header signatures within the first 256 bytes, indicating a Windows executable payload download often associated with AvisLoader activity.
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