Ibrahim Saud
@tektrixIndiaCompletionist
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11,679 detections
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This rule detects the use of forged Kerberos Ticket-Granting Tickets (Golden Tickets), which are typically generated by abusing the KRBTGT account's NTLM hash. The rule monitors Windows Event IDs 4768 and 4769 for anomalies including excessively long ticket lifetimes (common in Mimikatz outputs), evidence of tickets used post-KRBTGT reset, or tickets issued for accounts that do not exist in the environment.
This rule detects potential DNS tunneling activities often associated with Command and Control (C2) communication. It monitors for anomalous patterns including excessively long DNS query labels, the use of uncommon DNS record types (TXT or NULL), and high volumes of DNS traffic directed towards specific domains. These behaviors are common indicators of data exfiltration or covert beaconing attempts designed to bypass traditional network security controls.
Detects the execution of native Windows utilities such as vssadmin, wmic, wbadmin, and bcdedit used to delete volume shadow copies, the backup catalog, or disable system recovery boot policies. This activity is a common precursor to ransomware encryption to prevent data restoration.
Detects legitimate, signed executables from trusted system locations (e.g., System32) loading DLLs from non-standard, user-writable directories (e.g., Temp, AppData). This activity is a classic indicator of DLL side-loading, where an adversary places a malicious DLL in a directory to be picked up by a legitimate application, enabling the execution of malicious code under the context of a trusted process.
Detects suspicious cross-process memory operations where a source process requests process creation/write permissions on a target process (e.g., browsers, explorer.exe, or svchost.exe), followed immediately by the execution of a remote thread injection technique such as CreateRemoteThread, QueueUserAPC, or NtCreateThreadEx within the same process pair.
Detects suspicious processes such as PowerShell, Python, or scripting hosts performing network communication with major AI/LLM provider APIs, followed immediately by child process execution or related activity. This pattern is indicative of LLM-assisted automation for malicious activities, potentially using AI to generate code, scripts, or orchestrate command and control actions.
Detects a suspicious sequence of events where a known web server process (e.g., IIS, Nginx, Apache) spawns a command shell process, followed shortly by the creation of a file with a web shell-like extension (.aspx, .jsp, .php) in the same environment. This pattern is indicative of an adversary exploiting a public-facing application to upload and potentially access a web shell.
Detects a multi-stage evasion sequence where a process first queries the system for virtualization or sandbox artifacts (e.g., VM tools, system information), followed by an intentional sleep or delay to bypass sandbox analysis, and concluding with subsequent process activity. This pattern is characteristic of malware attempting to detect and evade automated analysis environments.
This rule detects a multi-stage Business Email Compromise (BEC) attack involving executive impersonation via look-alike domains, followed by the creation of suspicious inbox rules (forwarding/deletion) by the victim, and concurrent external communication (Teams/Zoom meeting invites) from a newly created account. It correlates these activities to identify sophisticated payment fraud campaigns.
Detects potential browser-based infostealer activity where a non-standard process, launched from temporary or user-download directories, accesses sensitive browser data files (cookies, login data) followed by a suspicious outbound network connection to a previously unseen domain, matching common patterns for LummaStealer or Vidar malware.
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