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Ibrahim Saud

@tektrix
IndiaCompletionist
2 followers18,458 downloads7,116 copies47 likes38,546 views

11,679 detections

Detects attempts to bypass or tamper with the Antimalware Scan Interface (AMSI). This rule monitors for command-line arguments indicative of reflection-based patching of AmsiUtils and forced AmsiScanBuffer failures, as well as registry modifications to AMSI providers.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects successful user authentications originating from geographically distant locations within a time window that makes physical travel impossible. The detection further filters for scenarios where the subsequent sign-in is associated with a different, non-compliant, or untrusted device, indicating a likely compromised account.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects anomalous Kerberos ticket requests characteristic of Golden Ticket attacks. These forged tickets are created offline using the KRBTGT account hash, bypassing legitimate KDC TGT issuance, and frequently exhibit default Mimikatz artifacts such as RC4 encryption or extended ticket lifetimes.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects anomalous mass consent grants to OAuth applications by users within the environment. This rule monitors for high-risk permissions such as Mail.Read and Files.ReadWrite.All, which are commonly used in consent phishing and application-based persistence campaigns to gain unauthorized access to mailbox and file resources.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule detects potential MFA fatigue attacks (Push Bombing) by monitoring sign-in logs for a high volume of authentication prompts directed at a single user within a one-hour window. It specifically identifies patterns where a user receives multiple denied MFA push requests followed by at least one successful approval. The rule also accounts for suspicious behavior such as requests originating from multiple IP addresses or geographic locations.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule identifies potential DNS tunneling activity (often used for C2 or data exfiltration) by analyzing DNS queries for anomalous patterns. It looks for high-entropy or excessively long subdomain labels, frequent use of suspicious record types like TXT or NULL, and high query volume to a single parent domain with low diversity in resolved IP addresses.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
101
This rule detects the creation or modification of Exchange mailbox rules (Forward, Redirect, Delete, or Mark as Read) involving sensitive keywords (invoice, wire, payment, finance, remittance) shortly after an anomalous sign-in event or a password reset on the same account. This combination is a strong indicator of account takeover and mailbox persistence.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
201
Detects active attempts to disable or interfere with security products, including EDR agents and antivirus software. The rule monitors for the use of 'sc.exe' to stop or reconfigure services, 'taskkill' to terminate security-related processes, and PowerShell commands utilizing 'Set-MpPreference' to modify Windows Defender real-time protection settings. These actions are frequently observed as a precursor to ransomware deployment or other malicious activities designed to evade detection.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects potential lateral movement by monitoring user accounts performing interactive RDP logons (LogonType 10) to multiple distinct internal hosts within a 15-minute window. Additionally, identifies RDP logons occurring outside of standard business hours (before 6 AM or after 8 PM), a pattern often associated with human-operated ransomware activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
101
Detects instances where a user grants OAuth application permissions for high-risk scopes (e.g., mail access, offline access). The rule flags these grants, with higher risk scores assigned if the application publisher is unverified or unknown, helping identify potential illicit consent grant attacks often used to maintain long-term persistence in cloud environments.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
101
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