Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects concurrent creation of a hexadecimal-named folder in the %TEMP% directory and a corresponding registry key in HKCU\SOFTWARE, both named with the same MD5 hash. This specific behavior is a known indicator of Casbaneiro (also known as Metamorfo) banking trojan infection, where the malware uses these locations to stage components and achieve persistence.
Detects network communication with known malicious domains and IP addresses, as well as the presence of known malicious file hashes on the system. The rule correlates network connection events, file creation events, and process creation events against predefined lists of C2 infrastructure and malware indicators.
Detects high-frequency file creation, opening, or modification events within the Windows AppData Local Temp directory. This behavior, often involving specific obfuscated file names or known malicious process names, is a common indicator of malware payload staging or execution patterns, such as those observed in AsyncRAT infections.
Detects KATARU IoT malware samples embedding the DirtyFrag (CVE-2026-43284) Linux local privilege escalation exploit copied from public PoC code, as part of a chained LPE attempt targeting root shell spawning
Detects evidence of persistent Android malware attempting to maintain access. It identifies the execution of a hidden Go-based daemon masquerading as a shared library in temporary storage, silent reinstallation of malicious APKs using package installer flags, and automated re-granting of accessibility services to bypass user interaction requirements.
This rule detects network traffic indicative of the HEAVYGRAM malware beaconing to Telegram's API. It identifies HTTP requests to api.telegram.org containing specific URI strings and parameters, which suggests the bot is performing check-in activities or sending status updates via a Telegram bot channel.
Detects network activity associated with the HEAVYGRAM PowerShell implant, specifically identifying outbound traffic to the Telegram Bot API (api.telegram.org). The rule looks for established connections and HTTP requests containing Telegram bot-specific URI patterns ('/bot', '/getUpdates') coupled with a 'WindowsPowerShell' user agent, indicating an automated beaconing mechanism used for command and control.
Detects Java-based Metasploit/Meterpreter payload files (.class/.jar) dropped post-exploitation, as observed following PaperCut RCE exploitation chain
This rule detects the execution of a file with a suspicious media-themed filename (e.g., related to 1080p, BluRay, etc.) from a known BitTorrent client process, followed by an immediate network connection to a known malicious C2 IP address or domain within a 10-minute window. This behavior is indicative of a user downloading and executing a malicious file disguised as pirated media.
This rule detects the execution of a specific known malicious file (identified by MD5 hash A0B13781EDD7CFDAB13D79AFFF3C83C1) followed by an outbound network connection to a suspicious IP address (193.23.118.155) or domain (deadhub.org) within a 10-minute window. This behavior is indicative of a malicious loader establishing a command and control (C2) channel.
Detects HTTP GET requests associated with the MovieReaper loader, specifically targeting shellcode fragment fetches from the deadhub.org domain, a specific fallback IP address, or requests to identifiable decoy asset paths used by the malware for staging or C2 communication.
Detects network beaconing and command-and-control (C2) communication patterns consistent with the HEAVYGRAM backdoor, which utilizes the Telegram Bot API for remote interaction. This rule monitors for encrypted SNI traffic directed at api.telegram.org, as well as specific HTTP polling and command execution patterns (e.g., /getUpdates, /bot<token>/) indicating automated interaction with a Telegram bot controlled by an adversary.
Detects a Delphi-compiled Windows Screen Saver (.scr) file acting as a dropper. The binary contains embedded RCDATA ZIP resources and utilizes Persian-language filenames related to academic or student-focused lures to trick victims into execution. This rule specifically identifies the presence of the dropper's strings and the Borland Delphi marker.
GhostContainer
YARA
Detects GhostContainer .NET-based backdoor assembly components deployed on compromised Exchange servers, requiring multiple corroborating unique indicators (module/class names, C2 header, masquerading filenames) to reduce false positives on generic .NET assemblies
GhostContainer
YARA
Detects GhostContainer .NET-based backdoor assembly components deployed on compromised Exchange servers, requiring multiple corroborating unique indicators (module/class names, C2 header, masquerading filenames) to reduce false positives on generic .NET assemblies
Detects the GhostContainer .NET-based backdoor assembly deployed on compromised Microsoft Exchange servers, requiring multiple corroborating unique indicators (C2 header, proxy class name, virtual path parameters) alongside .NET/PE structure to reduce false positives
Detects the GhostContainer .NET-based backdoor assembly deployed on compromised Microsoft Exchange servers, requiring multiple corroborating unique indicators (C2 header, proxy class name, virtual path parameters) alongside .NET/PE structure to reduce false positives
IOC hunt for the HEAVYGRAM/CRUDEEXCLUDE campaign: matches known SHA256 file hashes (first-stage malware, implant, RAR/ZIP artefacts) via DeviceFileEvents and DeviceProcessEvents, plus known-malicious domains/staging infrastructure by parsed hostname across network connections, process command lines, and file origin URLs.
Detects the execution of known GoCaracal malware samples, identified by specific file hashes or staging file paths, occurring in conjunction with low-level keyboard hook installations using SetWindowsHookEx. This behavior is indicative of active keylogging activity.
Detects known malicious SilverFox payloads by comparing the file hash against a list of known SHA256 signatures associated with the malware.
Detects outbound HTTP requests to known domains or domains following a specific URI pattern associated with the delivery of SilverFox malware payloads.
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