Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
157 detections
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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.
Detects modifications to Google Cloud Storage bucket IAM policies that grant access to 'allUsers' or 'allAuthenticatedUsers'. This activity indicates a potential misconfiguration or an attempt by an attacker to stage or exfiltrate data by making bucket contents publicly accessible.
Detects the modification of an Azure Storage account configuration to enable public access (allowBlobPublicAccess: true). This activity is often associated with attackers attempting to facilitate anonymous data exfiltration by enabling public access to blobs and subsequently reading them.
Detects modifications to AWS S3 bucket Access Control Lists (ACLs) using the 'PutBucketAcl' API call that grant public read or write permissions. This could indicate an attempt to make sensitive data stored in S3 publicly accessible, potentially leading to data exfiltration.
Detects modifications to AWS S3 bucket Access Control Lists (ACLs) using the 'PutBucketAcl' API call that grant public read or write permissions. This could indicate an attempt to make sensitive data stored in S3 publicly accessible, potentially leading to data exfiltration.
Detects 'PutBucketPolicy' API calls in AWS CloudTrail where the policy is modified to grant 'Allow' access to a wildcard ('*') or anonymous principal, without including restrictive conditional requirements such as VPC endpoints or organizational ID constraints. This behavior is a common precursor to data exfiltration from misconfigured S3 buckets.
Detects patterns associated with the TeamFiltration backdoor module, specifically unauthorized OneDrive/SharePoint file modifications occurring shortly after an authentication from a previously unseen device/IP. The rule flags file changes (modifications, deletions, or renames) involving potential executable or script extensions, or those performed by the OneDrive SyncEngine app from a new source.
Detects behavior associated with the TeamFiltration backdoor, where a user account downloads a file from OneDrive, modifies or replaces that file, and re-uploads it within a short timeframe (30 minutes). This pattern is consistent with the 'taint shared content' technique used to distribute malicious files through legitimate cloud storage.
Detects high-volume deletion or recycling of files within OneDrive or SharePoint for a specific user, which may indicate malicious activity such as data destruction, ransomware, or unauthorized data exfiltration staging.
Detects patterns associated with the TeamFiltration backdoor module, specifically unauthorized OneDrive/SharePoint file modifications occurring shortly after an authentication from a previously unseen device/IP. The rule flags file changes (modifications, deletions, or renames) involving potential executable or script extensions, or those performed by the OneDrive SyncEngine app from a new source.
Detects patterns associated with the TeamFiltration backdoor module, specifically unauthorized OneDrive/SharePoint file modifications occurring shortly after an authentication from a previously unseen device/IP. The rule flags file changes (modifications, deletions, or renames) involving potential executable or script extensions, or those performed by the OneDrive SyncEngine app from a new source.
Detects patterns associated with the TeamFiltration backdoor module, specifically unauthorized OneDrive/SharePoint file modifications occurring shortly after an authentication from a previously unseen device/IP. The rule flags file changes (modifications, deletions, or renames) involving potential executable or script extensions, or those performed by the OneDrive SyncEngine app from a new source.
Detects unauthorized write or modification operations against machine learning training data, feature stores, and model registries. The rule identifies suspicious activity by flagging actions occurring outside established change windows, attempts by identities with no prior history of modifying the resource, or bulk data modifications that could indicate training data poisoning or model tampering.
Detects anomalous bursts of cloud secret or parameter retrieval API calls followed shortly by administrative actions that expose data or credentials (such as bucket policy changes or new key creation). This behavior is consistent with an adversary staging compromised credentials to exfiltrate data or maintain persistence.
Detects behavior associated with the TeamFiltration backdoor, where a user account downloads a file from OneDrive, modifies or replaces that file, and re-uploads it within a short timeframe (30 minutes). This pattern is consistent with the 'taint shared content' technique used to distribute malicious files through legitimate cloud storage.
Detects behavior associated with the TeamFiltration backdoor, where a user account downloads a file from OneDrive, modifies or replaces that file, and re-uploads it within a short timeframe (30 minutes). This pattern is consistent with the 'taint shared content' technique used to distribute malicious files through legitimate cloud storage.
Detects behavior associated with the TeamFiltration backdoor, where a user account downloads a file from OneDrive, modifies or replaces that file, and re-uploads it within a short timeframe (30 minutes). This pattern is consistent with the 'taint shared content' technique used to distribute malicious files through legitimate cloud storage.
Detects high-frequency S3 object upload activity (PutObject/CompleteMultipartUpload) originating from the Rclone tool, a common indicator of potential data exfiltration to cloud storage.
Detects high-volume deletion or recycling of files within OneDrive or SharePoint for a specific user, which may indicate malicious activity such as data destruction, ransomware, or unauthorized data exfiltration staging.
Detects bulk file deletion activities (three or more files deleted or moved to the recycle bin) within SharePoint or OneDrive by a specific user within a 30-minute window, which may indicate malicious activity or data destruction.
Detects high-frequency S3 object upload activity (PutObject/CompleteMultipartUpload) originating from the Rclone tool, a common indicator of potential data exfiltration to cloud storage.
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