Splunk Security
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This analytic detects suspicious DLL modules loaded by calc.exe that are not located in the %systemroot%\system32 or %systemroot%\sysWoW64 directories. This detection leverages Sysmon EventCode 7 to identify DLL side-loading, a technique often used by Qakbot malware to execute malicious DLLs. This activity is significant as it indicates potential malware execution through a trusted process, which can bypass security controls. If confirmed malicious, this could allow attackers to execute arbitrary code, maintain persistence, and escalate privileges within the environment.
This analytic identifies a local successful authentication event on a Windows endpoint using the Kerberos package. It specifically looks for EventCode 4624 with LogonType 3 and a source address of 127.0.0.1, indicating a login to the built-in local Administrator account. This activity is significant as it may suggest a Kerberos relay attack, a method attackers use to escalate privileges. If confirmed malicious, this could allow an attacker to gain unauthorized access to sensitive systems, execute arbitrary code, or create new accounts in Active Directory, leading to potential system compromise.
The analytic detects the loading of known vulnerable Windows drivers, which may indicate potential persistence or privilege escalation attempts. It leverages Windows System service install EventCode 7045 to identify driver loading events and cross-references them with a list of vulnerable drivers. This activity is significant as attackers often exploit vulnerable drivers to gain elevated privileges or maintain persistence on a system. If confirmed malicious, this could allow attackers to execute arbitrary code with high privileges, leading to further system compromise and potential data exfiltration. This detection is a Windows Event Log adaptation of the Sysmon driver loaded detection written by Michael Haag.
This analytic detects SSL certificates with Punycode domains in the SSL issuer email domain, identified by the prefix "xn--". It leverages the Certificates Datamodel to flag these domains and uses CyberChef for decoding. This activity is significant as Punycode can be used for domain spoofing and phishing attacks. If confirmed malicious, attackers could deceive users and systems, potentially leading to unauthorized access and data breaches.
The following analytic detects attempts to disable multi-factor authentication (MFA) for an AWS IAM user. It leverages Amazon Security Lake logs, specifically monitoring for `DeleteVirtualMFADevice` or `DeactivateMFADevice` API operations. This activity is significant as disabling MFA can indicate an adversary attempting to weaken account security to maintain persistence using a compromised account. If confirmed malicious, this action could allow attackers to retain access to the AWS environment without detection, potentially leading to unauthorized access to sensitive resources and prolonged compromise.
The analytic identifies multiple failed multi-factor authentication (MFA) requests to an AWS Console for a single user within a short timeframe (more than 10 failed MFA prompts within 5 minutes). This activity may indicate an adversary attempting to bypass MFA through 'MFA fatigue' attacks, where repeated authentication requests are sent to the user in hopes they will eventually approve one, leading to unauthorized access to the AWS environment.
This analytic identifies the assignment of the 'Application Administrator' role to an Azure AD user. This activity is significant because users in this role can manage all aspects of enterprise applications, including credentials, which can be used to impersonate application identities. If confirmed malicious, an attacker could escalate privileges, manage application settings, and potentially access sensitive resources by impersonating application identities, posing a significant security risk to the Azure AD tenant.
This analytic identifies a successful authentication event against an Azure AD tenant using PowerShell cmdlets. This detection leverages Azure AD SignInLogs to identify successful logins where the appDisplayName is "Microsoft Azure PowerShell." This activity is significant because it is uncommon for regular, non-administrative users to authenticate using PowerShell, and it may indicate enumeration and discovery techniques by an attacker. If confirmed malicious, this activity could allow attackers to perform extensive reconnaissance, potentially leading to privilege escalation or further exploitation within the Azure environment.
The analytic identifies a spike in API activity related to the deletion of S3 buckets in an AWS environment. It uses AWS CloudTrail logs to detect anomalies by comparing current deletion activity against a historical baseline. Unusual spikes in S3 bucket deletions could indicate malicious actions such as data exfiltration or unauthorized data destruction, leading to significant data loss, disruption of services, and potential exposure of sensitive information. Immediate investigation is required to determine the legitimacy of the activity.
This analytic detects when an excessive number of files are downloaded from Office 365 by the same user over a short period of time. Office 365 may bundle these files together as a ZIP file, however each file will have its own download event. This behavior may indicate an attacker staging data for exfiltration or an insider threat removing organizational data. Additional attention should be taken with any Azure Guest (#EXT#) accounts.
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