Ibrahim Saud
@tektrixIndiaCompletionist
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11,679 detections
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Detects high-frequency authentication attempts originating from user agents associated with automation frameworks (Selenium, Playwright, Puppeteer, etc.). This pattern is often indicative of automated credential stuffing, brute force attacks, or CAPTCHA/2FA bypass attempts orchestrated by headless browsers.
Detects anomalous, high-velocity enumeration of IAM entities and cloud infrastructure resources by a single principal within a 5-minute window. This behavior is consistent with automated reconnaissance performed by agentic AI or scripted tools, often used to map cloud environments prior to exploitation.
Detects anomalous account recovery or MFA reset activity performed by a single help-desk user account. A high volume of reset actions across numerous distinct users within a short duration is a key behavioral indicator of potential help-desk account compromise or insider abuse involving unauthorized account takeovers.
Detects a suspicious sequence where an account undergoes a help-desk-initiated password or credential reset, followed shortly (within 30 minutes) by the registration of a new multi-factor authentication (MFA) device for that same account. This pattern is characteristic of social engineering attacks, such as those used by UNC3944/Scattered Spider, where an adversary impersonates a user to gain initial access and subsequently establishes persistence by adding an MFA device they control.
Detects a suspected Multi-Factor Authentication (MFA) fatigue attack, characterized by a user denying three or more consecutive MFA authentication requests in a short period (10 minutes) followed by a successful authentication approval. This behavior often indicates an adversary bombarding a user with push notifications to eventually solicit an accidental or coerced approval.
Detects a pattern of MFA fatigue or 'push-bombing' where a user receives 5 or more MFA challenge requests within 10 minutes, immediately followed by a successful authentication event. This pattern is characteristic of attackers who have obtained user credentials and are attempting to bypass MFA by repeatedly triggering push notifications until the user grants access.
Detects the execution of LNK files that use a double extension (e.g., .pdf.lnk) to masquerade as PDF documents. This behavior is indicative of spear-phishing campaigns where malicious shortcuts are delivered via ZIP archives to execute hidden PowerShell commands for secondary stage downloader or persistence mechanisms.
Detects the execution of VelvetCake modular scripts by PowerShell, which involves downloading and executing scripts from %TEMP% via Invoke-Expression, and monitoring the C:\Users\Public directory for file staging and subsequent exfiltration. This rule captures the tactical loop of script execution, output file creation, and exfiltration preparation often observed in Operation Conflict Compass activity.
Detects malicious PowerShell scripts that perform a sequence of reconnaissance activities, including security product enumeration via WMI (SecurityCenter2), system configuration discovery (ipconfig, systeminfo), process enumeration, recent file access, and drive mapping. This behavior is indicative of second-stage reconnaissance by threat actors to map the target environment.
Detects outbound network traffic from internal hosts to Telegram shortened URLs (t.me). The detection looks for TLS SNI strings or HTTP requests targeting t.me domains, specifically focusing on non-browser user-agent strings which are indicative of Vidar-style malware using Telegram as a dead-drop resolver for C2 operations.
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