Ibrahim Saud
@tektrixIndiaCompletionist
2 followers18,457 downloads7,048 copies47 likes38,291 views
11,679 detections
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Detects unauthorized sharing, copying, or exporting of EBS, disk, or database snapshots to external cloud accounts, subscriptions, or projects that are not present in the defined trusted allow-list for AWS, Azure, or GCP environments.
This rule identifies potential account compromise through the detection of non-interactive Azure AD sign-ins originating from geographically distant locations within a short, travel-implausible timeframe. Such activity is highly indicative of the theft and export of a Primary Refresh Token (PRT) from a legitimate endpoint, which is subsequently replayed by an adversary from external infrastructure to gain unauthorized access to cloud resources.
This rule detects when a new password credential (client secret) is added to an existing Azure AD Service Principal or application. This activity is a common method for adversaries to establish persistence in a cloud environment that survives password resets or MFA enforcement on the original administrative account.
This rule monitors package installation logs for indicators of packages potentially generated or suggested by AI tools (e.g., Copilot, code assistants) being installed in a target environment. It specifically looks for a low volume of installations (<=3) for packages that have been published within the last 14 days, which is a pattern often associated with the 'Publish Hallucinated Entities' technique in AI systems, where malicious or hallucinated code packages are introduced into the supply chain.
Detects attempts by a principal to modify, stop, or delete AWS CloudTrail logging configurations. Such activity is a common indicator of defense evasion during the early stages of a cloud-based attack to prevent audit trail capture.
Detects modifications to cloud storage access control configurations in Azure (containers/blobs) and GCP (storage buckets) that result in public or unauthenticated access. The rule uses lookups to filter out approved public assets before alerting.
Detects the execution of common enumeration tools and commands often associated with ransomware-precursor behavior. This includes the use of AdFind, dsquery, net.exe, and nltest for domain account, group, and trust discovery, as well as the execution of BloodHound/SharpHound collection activities.
Detects the use of PsExec or SC.exe to create services on multiple remote endpoints within a short time window. This pattern is characteristic of adversary-driven mass deployment of ransomware or other malicious payloads where remote execution via Windows service control is used to move laterally across a network.
Detects modifications to SAML identity providers, federation settings, and trust configurations in AWS and Azure AD/Entra where the signing certificate fingerprint does not match a known-good baseline, and no corresponding change ticket is detected in the raw logs.
Detects the execution of known Active Directory reconnaissance tools, specifically AdFind and SharpHound/BloodHound. These tools are commonly used by adversaries to enumerate domain objects, users, computers, groups, and trusts, which are essential precursors to further lateral movement and privilege escalation within a domain environment.
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