Ibrahim Saud
@tektrixIndiaCompletionist
2 followers18,457 downloads7,056 copies47 likes38,430 views
11,679 detections
Filters
Last updated
All Time
Detection languages
3,760
1,874
1,586
966
944
Categories
4,878
3,246
1,529
1,303
1,122
Platforms
7,678
1,824
1,066
999
986
Products / Services
2,963
1,768
1,278
953
798
MITRE Techniques
3,615
3,555
2,488
1,474
1,186
CVEs
36
27
26
25
23
IDS Classtypes
360
113
38
24
24
IDS Protocols
315
114
93
47
10
Detects the addition of new credentials (certificates, secrets, or keys) to Azure AD Service Principals or Applications, occurring outside of standard business hours (6 AM to 8 PM). This pattern is often indicative of an adversary establishing or maintaining persistent access to an enterprise cloud environment.
Detects the addition of new credentials (certificates, secrets, or keys) to Azure AD Service Principals or Applications, occurring outside of standard business hours (6 AM to 8 PM). This pattern is often indicative of an adversary establishing or maintaining persistent access to an enterprise cloud environment.
This rule detects when a user is assigned a highly privileged role in Azure AD (e.g., Global Administrator, Security Administrator) shortly after that user has performed a sign-in event flagged as risky. This behavior is a strong indicator of account takeover or malicious privilege escalation within the cloud environment.
Detects anomalous OAuth 2.0 device authorization grant sign-in activity within Microsoft 365. The rule identifies suspicious token redemption behavior where the initial device code request and the subsequent token redemption occur from disparate IP addresses or utilize different user-agent strings, which is indicative of EvilTokens or similar adversary-in-the-middle (AiTM) device-code phishing frameworks.
Detects unauthorized access to sensitive Chromium-based browser files such as 'Login Data' (password database) or 'Local State' (encryption keys) by processes other than standard web browsers (Chrome, Edge, Brave, Firefox). The rule also elevates risk if the access is followed by the execution of known data-handling tools like sqlite, python, or powershell, which are frequently used by information stealers to parse and exfiltrate browser-stored credentials.
Detects high-privilege OAuth application consent grants (such as Mail.Read or Files.ReadWrite.All) occurring within four hours of a risky or anomalous user sign-in. This sequence indicates a potential compromise where an attacker uses a compromised account to authorize a malicious OAuth application for persistent access and data exfiltration.
Detects instances where a user account performs non-interactive or legacy authentication (e.g., IMAP, POP3, SMTP, ActiveSync) shortly after an endpoint associated with that same user is flagged for malware or infostealer activity. This pattern is indicative of an adversary using exfiltrated credentials to maintain access to cloud services while bypassing MFA policies.
Detects bulk mailbox export or content search operations performed by an identity shortly after a high-risk sign-in event. This pattern is indicative of potential account takeover where an adversary attempts to harvest sensitive email data at scale for BEC or extortion.
Detects a single user identity authenticating into three or more distinct SaaS applications within a 10-minute window. This behavior is consistent with the replay of a stolen session cookie (Pass-the-Cookie) or the abuse of an active authenticated session to move laterally across a federated SaaS estate.
Detects an anomalous volume of file access or synchronization activity on cloud document platforms (Microsoft SharePoint, OneDrive, or Google Drive) that occurs following a high-severity risky sign-in event. The rule specifically flags potential exfiltration patterns such as large volumes of data transfer or numerous file accesses, especially if associated with unmanaged devices or connections to known personal/external file-sharing services.
Page 167 of 1168