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Daniel Jeremiah

@daniyyell
United KingdomTrusted contributorCompletionist
8 followers4,600 downloads2,430 copies68 likes128,312 views

978 detections

Detects a worker DLL or executable loaded from the Kazuar working directory shortly after a bridge process creates IPC channels. This behavior is indicative of the Kazuar malware's operational methodology, where a main 'bridge' component loads various 'worker' modules to perform malicious tasks.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
001
Detects several related module processes on one host while a single process accounts for all external network connections. This behavior is indicative of the Kazuar malware, which uses a botnet-like structure where one 'leader' process handles C2 communications.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
001
Detects commands querying video controller names, memory, or GPU vendor information, commonly used by adversaries to select a compatible mining payload for cryptojacking campaigns.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
001
Detects a recently downloaded utility executable loading autorun.dll from the same writable directory, consistent with DLL side-loading. This behavior is often associated with malware attempting to establish persistence or elevate privileges by abusing legitimate applications.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
001
Detects a mining process launched with a stratum endpoint, wallet address, worker name, or GPU algorithm arguments. This rule identifies common cryptocurrency mining software (xmrig, lolminer, phoenixminer, nbminer, minerd, miner) when executed with command-line parameters indicative of connecting to a mining pool or specifying wallet/algorithm details.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
001
Detects a script or small watchdog process repeatedly launching the same miner on one device within a short period. This behavior is indicative of cryptojacking activity where a persistent mechanism ensures the cryptocurrency miner continues to run even if terminated.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
001
Detects a CPU miner configured with an unusually high thread count or affinity mask after GPU capability checks. This behavior is indicative of cryptojacking activity where an attacker is attempting to maximize CPU resource utilization for cryptocurrency mining.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
001
Detects the creation, renaming, or modification of 'vcpktsvr.exe' and 'libcef.dll' within a directory path containing '\vcpacket'. The rule specifically looks for the co-occurrence of both files within a 10-minute window on the same device, indicating the presence of the Windows ZiChatBot malware stage, which is known to use DLL side-loading.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
001
Detects execution or file activity involving SHA-256 hashes attributed to analyzed VVS Discord Stealer samples. This rule provides high-confidence indicator coverage and should be retained as supporting intelligence alongside the behavioral detections in this pack.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
001
This rule detects the creation of files named 'lgf.dat' or 'lg.dat' within a user's Microsoft Vault directory. These file names and location are associated with keylogger activity, specifically as observed in the 'Fishmongers' Arsenal' campaign involving SprySocks malware.
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Daniel Jeremiah@daniyyell
Google SecOps
5 months ago
202
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