Ibrahim Saud
@tektrixIndiaCompletionist
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11,679 detections
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Detects an adversary-in-the-middle (AiTM) phishing pattern where the legitimate Microsoft authentication URL is embedded as a sub-path within an attacker-controlled proxy domain. This technique is characteristic of AiTM kits, such as Evilginx2, which proxy the legitimate Microsoft authentication flow to capture credentials and session cookies.
Detects the creation or modification of O365 inbox rules designed to move incoming emails to the 'Deleted Items' folder, delete messages, or mark them as read. This behavior is a common indicator of an adversary attempting to hide phishing lures, security alerts, or C2 communications within a compromised mailbox.
Detects network activity associated with Adversary-in-the-Middle (AiTM) phishing kits that perform client-side fingerprinting and geolocation tracking. The rules identify the initial fingerprinting request, the subsequent setting of a geolocation cookie by the proxy, and the query to a third-party geolocation service, using state tracking to correlate the chain of events.
Detects anomalous 'Bind' operations in Microsoft 365 Exchange Online audit logs where the user-agent string includes 'Firefox/131.0' and 'Client=REST' while using specific Microsoft Outlook ClientAppId and APIId parameters. This pattern has been observed in automated, cross-tenant mailbox exfiltration campaigns targeting sensitive payroll and financial documentation.
Detects network activity associated with the GhostCode kit's bot-filter challenge, which performs session token/hash chaining prior to a device-code phishing redirect. The rule monitors for specific URL patterns containing 'check=1' and a session identifier, coupled with a mandatory 'js_enabled=1' cookie, commonly used to filter automated security scanners and verify bot activity before serving malicious content.
Detects network activity associated with the GhostCode phishing campaign, which leverages themed pages (e.g., MailDashboard) and Cloudflare Turnstile to perform security bypass checks. The rules identify the initial access URI pattern, the presence of specific phishing content in the HTTP response, and the subsequent verification cookies used after the CAPTCHA solution.
Detects instances where the MSBuild.exe process is subjected to image replacement or tampering, a behavior often associated with process hollowing or malicious code injection techniques aimed at evading security defenses by masquerading as a legitimate developer utility.
Detects the issuance of a Primary Refresh Token (PRT) to Microsoft Graph occurring in close temporal proximity to a device code authentication flow. This pattern is indicative of device-code phishing attacks, where an adversary intercepts a device code to obtain long-lived, session-persistent access to a tenant.
These rules monitor for suspicious WordPress authentication activity, including brute force and credential spraying attacks targeting XML-RPC endpoints and the standard wp-login.php interface. The rule set includes detections for high-frequency login attempts and subsequent indicators of potential successful authentication.
Detects the creation of files within the /etc/cron.d/ directory initiated by the redis-server process, specifically looking for malicious payloads containing bash -c and /dev/tcp/ command wrappers indicative of a reverse shell or beaconing persistence mechanism often used by Redis-targeting botnets.
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