
Ibrahim Saud
@tektrixIndiaCompletionist
2 followers18,457 downloads7,050 copies47 likes38,356 views
11,679 detections
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Detects high-volume file download activity in Office 365/SharePoint/OneDrive audit logs. The rule correlates download spikes with users who have recently triggered security alerts related to session hijacking, token theft, or risky sign-ins, which are indicators of a potential cloud account takeover scenario.
Detects a single process reading browser cookie SQLite database files across multiple distinct browser profile directories or different web browsers within a short time window. This behavior is indicative of infostealer activity attempting to harvest session cookies for session hijacking and MFA bypass.
Detects potential infostealer activity where an unsigned or non-system process accesses the Windows DPAPI master key store followed by access to common browser credential and cookie storage files within a 10-minute window. This behavior is indicative of malware attempting to decrypt and exfiltrate saved browser passwords and cookies.
Detects a suspected infostealer activity chain involving the unauthorized access of credential and session cookie files, followed by the archival of these files into a temporary or staging directory, and concluding with an outbound network connection to an uncommon destination from the archiving process.
Detects a sequence of events where a user account triggers a high-risk or anomalous sign-in (e.g., token-replay, AitM, impossible travel), followed within 12 hours by that same user modifying, deleting, or narrowing the scope of Conditional Access or identity security policies. This behavior is indicative of an attacker attempting to establish persistence, strip MFA requirements, or bypass location restrictions after gaining initial cloud account access.
Detects the assignment of a highly privileged administrative or directory role to a user or service principal following a high-risk or anomalous sign-in event. This pattern is indicative of potential session hijacking where an adversary attempts to escalate privileges within a cloud environment after gaining initial access to a compromised account.
Detects potential lateral movement by identifying users who have recently had a confirmed infostealer malware infection on a source host and subsequently initiate RDP or WinRM connections from a different host to internal network resources.
Detects the loading of specific commonly side-loaded DLLs (libcef.dll, version.dll, msimg32.dll) from user-writable directories such as Downloads, Temp, or AppData. Attackers often use these locations to drop malicious DLLs alongside legitimate applications to achieve DLL side-loading for persistence or defense evasion.
Detects instances where a user or administrator grants consent to an OAuth application in Azure AD requesting highly sensitive delegated or application permissions, such as Mail.Read, Mail.ReadWrite, offline_access, or directory-wide read/write scopes. Attackers often use these consents to maintain persistent, silent access to a user's mailbox and cloud resources even after primary session tokens are revoked.
Detects mailbox items being accessed or bound by an OAuth-based application (app-only context) in Microsoft 365, filtering out expected interactive client signatures like Outlook or OWA. This behavior is indicative of potential post-compromise mailbox enumeration or data harvesting by malicious applications using stolen or illicitly granted OAuth access tokens.
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