Ankit Mehta
@SecvynIndiaTrusted contributorCompletionist
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8,655 detections
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This rule detects instances where a user clicks on a URL identified as potentially malicious (phishing-related) and subsequently has a risky sign-in event in Azure AD. The rule correlates URL click events from email with Azure AD sign-in logs, specifically looking for sign-ins marked as risky or originating from suspicious user agents (e.g., specific axios versions). The phishing URLs are identified by keywords such as 'azureapplicationregistration.pages.dev', 'chrnobinson.com', 'workers.dev', '.pages.dev', '.web.core.windows.net', '/oauth2/v2.0/authorize', 'client_id=', and 'scope=openid'.
This rule identifies successful user sign-ins originating from IP addresses known to belong to VPN services. It leverages an external list of VPN IP ranges to correlate with Azure AD SigninLogs. This can indicate an attempt to bypass geo-restrictions, hide true origin, or could be legitimate use of a VPN by an employee.
Detects attempts to read the memory of browser processes (Chrome, Edge, Firefox, Brave, Opera). This activity can be indicative of credential dumping or other forms of data exfiltration from web browsers.
This rule detects the presence of known Chaos ransomware samples by matching their SHA256 hashes against process execution events and file events. If a process with a matching hash is executed or a file with a matching hash is observed, an alert will be triggered.
Detects authentication and Office activity where User-Agent strings match known malicious, reconnaissance, scanning, or C2 tool fingerprints. Helps identify automated attacks, credential stuffing, and adversary tooling.
Detects the use of the rclone tool with data transfer commands (copy, move, sync, copyto, moveto) originating from a GoAnywhere server process or common interactive shell processes (cmd.exe, powershell.exe). This activity is highly suspicious and could indicate data exfiltration.
This rule detects successful or failed logon attempts originating from IP addresses identified by threat intelligence as associated with botnets, command and control (C2) infrastructure, or proxies. The rule specifically looks for 'LogOn' or 'FailedLogOn' activity types where the source IP's threat intelligence indicator type is 'Botnet', 'C2', or 'Proxy', and where activity insights are available.
This rule detects when critical Windows services or processes associated with Active Directory (NTDS, Netlogon, LSASS, LDAP) or the Print Spooler (Spooler, spoolsv.exe) crash multiple times (3 or more) on a machine within a 7-day period. This could indicate instability, a denial-of-service attempt, or a system compromise affecting core services.
This rule detects potential Domain Generation Algorithm (DGA) activity by analyzing network connection logs. It identifies suspicious domains based on their structure (length, character set) and then filters them using a trigram analysis. Domains with non-repeating trigrams and rare trigrams (not found in a baseline of Alexa Top 1M domains) are flagged as DGA candidates. The rule then joins these candidates back to the original network logs to identify actual connections to these suspicious domains.
This rule detects an unusually high number of outbound network connections originating from the Local Security Authority Subsystem Service (LSASS) process on a Windows machine. LSASS is a critical system process responsible for enforcing security policy on the system, including user authentication, and typically does not initiate a large number of outbound connections. A high count of outbound connections from LSASS could indicate credential dumping activity, where an attacker is exfiltrating harvested credentials, or other malicious activity compromising the LSASS process.
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