Ibrahim Saud
@tektrixIndiaCompletionist
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11,679 detections
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This rule detects modifications to AWS CloudTrail configurations that reduce logging visibility, such as stopping the logging service, deleting a trail, or updating a trail to include restrictive event selectors (e.g., non-multi-region, read-only events, or excluding management events). These actions are indicative of an attacker attempting to evade detection by limiting the audit trail available to security analysts.
Detects suspicious modifications to Google Cloud Platform compute instance metadata, specifically the enabling of serial ports or the addition of startup scripts, which can be leveraged to execute arbitrary commands on a virtual machine. This rule also monitors for the initiation of GCP Cloud Shell environments, which may be used as a platform for further administrative activity.
Detects the creation of GCP compute instances that are attached to service accounts with broad 'cloud-platform' scope permissions. This activity is monitored to ensure that only authorized automation service accounts (e.g., IaC pipelines) are performing these actions, as creating instances with highly privileged service accounts can be a technique used to escalate privileges or establish persistence.
Detects changes to AWS S3 bucket policies or Access Control Lists (ACLs) that result in the bucket becoming publicly accessible. This is a common indicator of misconfiguration or unauthorized modification potentially leading to unauthorized data exposure.
This rule detects modifications to AWS EC2 Snapshot or AMI (Image) attributes that result in the resource becoming publicly accessible ('all') or shared with an unapproved AWS account ID. Such activities are often precursors to data exfiltration or unauthorized access to sensitive disk images.
Detects instances where an IAM user or role attempts to assume a role in a different AWS account (Cross-Account) without providing a valid ExternalID. This often indicates unauthorized attempts to access or abuse cross-account trust relationships, which is a common technique for lateral movement or privilege escalation in cloud environments.
This rule detects potential browser-based credential and session theft by monitoring for a process that accesses multiple sensitive web browser artifacts (cookies, local state, session storage) across several user profiles in a short timeframe. It correlates this activity with the subsequent creation of a compressed archive in a temporary directory followed by an outbound network connection, indicating a multi-stage exfiltration workflow.
Detects the creation or modification of Microsoft 365/Exchange inbox rules that suggest malicious staging or exfiltration activities. This includes rules configured for external email auto-forwarding, automatic deletion of messages, or movement of emails into hidden/system folders (e.g., RSS Subscriptions, Archive) which may be filtered based on sensitive keywords related to financial or credential theft (e.g., invoice, wire, payment).
Detects mailbox permission changes (FullAccess, SendAs) or abnormally high volume of mailbox item access events occurring shortly after a risky, non-interactive, or unusual location sign-in. This pattern indicates a potential follow-on activity from a successful session hijacking or token theft attack.
Detects potential Adversary-in-the-Middle (AiTM) phishing attacks by identifying a correlation between URL clicks (Safe Links) and subsequent rapid successful sign-ins by the same user. Additionally, the rule flags instances where multiple distinct users authenticate via the same IP address within a one-hour window, identifying potential infrastructure fan-out typical of proxy-based phishing kits.
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