Ibrahim Saud
@tektrixIndiaCompletionist
2 followers18,458 downloads7,116 copies47 likes38,549 views
11,679 detections
Filters
Last updated
All Time
Detection languages
3,760
1,874
1,586
966
944
Categories
4,878
3,246
1,529
1,303
1,122
Platforms
7,678
1,824
1,066
999
986
Products / Services
2,963
1,768
1,278
953
798
MITRE Techniques
3,615
3,555
2,488
1,474
1,186
CVEs
36
27
26
25
23
IDS Classtypes
360
113
38
24
24
IDS Protocols
315
114
93
47
10
Detects outbound HTTP POST requests characteristic of the Sauron Loader malware, utilizing a specific, randomized URI path structure and a known malicious User-Agent string to establish C2 communication.
Detects the download and presence of the Atomic macOS Stealer (AMOS) payload, a 64-bit Mach-O executable, identified by specific file hashes or internal file structure characteristics (Mach-O magic bytes) within a specific file size range.
Detects outbound HTTP POST requests characteristic of the Sauron Loader malware, utilizing a specific, randomized URI path structure and a known malicious User-Agent string to establish C2 communication.
Detects outbound network traffic from internal hosts to known domains associated with the Sauron Loader malware family. These alerts monitor for TLS connections where the Server Name Indication (SNI) matches domains identified as part of the malware's C2 infrastructure.
This rule detects a high frequency of process terminations occurring within a 5-minute window on a device where specific driver-related processes or command lines ('nvfsflt64.sys', 'Alinubx.sys') have been identified. Such behavior is characteristic of malicious activity attempting to disrupt system security components or clear traces, potentially indicating an endpoint denial of service or evasion attempt.
Detects potential device code phishing activity by identifying users who successfully perform a device code authentication flow shortly before registering a new device in Azure AD. This pattern is indicative of an adversary tricking a user into authenticating a malicious device to the victim's account.
This rule detects a multi-stage attack pattern consistent with a Bring Your Own Vulnerable Driver (BYOVD) chain. It identifies the installation of specific known vulnerable drivers (e.g., Alinubx.sys, nvfsflt64.sys) and the registration of a corresponding service (NvFsFilter), followed by the mass termination of various security software and EDR processes within a short timeframe. This behavior is indicative of an adversary using kernel-mode privileges to disable security controls.
Detects the deletion of registry keys or values associated with Google Chrome's extension settings preferences. This activity may indicate an attempt to disable installed extensions or tamper with browser security configurations.
Detects the execution of potentially malicious utilities (curl, finger, cmd, powershell) that are launched by the Windows Explorer process (explorer.exe). This pattern is often indicative of malicious activity where an adversary uses legitimate OS processes to spawn command shells or network tools for further exploitation or file retrieval.
Detects the loading or execution of known SloppyRAT DLL samples. This malware is identified for its implementation of Hell's Gate-style indirect syscalls, utilizing techniques such as DJB2 API hashing and NTDLL stub parsing to evade EDR hooks. The rule monitors for specific file hashes and potential masquerading behaviors (e.g., hostfxr.dll) across image loading, file, and process events.
Page 376 of 1168