Identifies use of the S3 CopyObject API where the destination object is encrypted using an AWS KMS key from an external AWS account. This behavior may indicate ransomware-style impact activity where an adversary with access to a misconfigured S3 bucket encrypts objects using a KMS key they control, preventing the bucket owner from decrypting their own data. This technique is a critical early signal of destructive intent or cross-account misuse.

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Identifies multiple successive failed attempts to use denied model resources within AWS Bedrock. This could indicated attempts to bypass limitations of other approved models, or to force an impact on the environment by incurring exhorbitant costs.

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Identifies multiple validation exeception errors within AWS Bedrock. Validation errors occur when you run the InvokeModel or InvokeModelWithResponseStream APIs on a foundation model that uses an incorrect inference parameter or corresponding value. These errors also occur when you use an inference parameter for one model with a model that doesn't have the same API parameter. This could indicate attempts to bypass limitations of other approved models, or to force an impact on the environment by incurring exhorbitant costs.

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Identifies multiple violations of AWS Bedrock guardrails within a single request, resulting in a block action, increasing the likelihood of malicious intent. Multiple violations implies that a user may be intentionally attempting to cirvumvent security controls, access sensitive information, or possibly exploit a vulnerability in the system.

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Identifies multiple violations of AWS Bedrock guardrails by the same user in the same account over a session. Multiple violations implies that a user may be intentionally attempting to cirvumvent security controls, access sensitive information, or possibly exploit a vulnerability in the system.

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Identifies multiple AWS Bedrock executions in a one minute time window without guardrails by the same user in the same account over a session. Multiple consecutive executions implies that a user may be intentionally attempting to bypass security controls, by not routing the requests with the desired guardrail configuration in order to access sensitive information, or possibly exploit a vulnerability in the system.

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Detects potential resource exhaustion or data breach attempts by monitoring for users who consistently generate high input token counts, submit numerous requests, and receive large responses. This behavior could indicate an attempt to overload the system or extract an unusually large amount of data, possibly revealing sensitive information or causing service disruptions.

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Detects repeated high-confidence 'BLOCKED' actions coupled with specific 'Content Filter' policy violation having codes such as 'MISCONDUCT', 'HATE', 'SEXUAL', INSULTS', 'PROMPT_ATTACK', 'VIOLENCE' indicating persistent misuse or attempts to probe the model's ethical boundaries.

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Detects repeated compliance violation 'BLOCKED' actions coupled with specific policy name such as 'sensitive_information_policy', indicating persistent misuse or attempts to probe the model's denied topics.

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Detects repeated compliance violation 'BLOCKED' actions coupled with specific policy name such as 'topic_policy', indicating persistent misuse or attempts to probe the model's denied topics.

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Detects repeated compliance violation 'BLOCKED' actions coupled with specific policy name such as 'word_policy', indicating persistent misuse or attempts to probe the model's denied topics.

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Identifies AWS API activity originating from uncommon desktop client applications based on the user agent string. This rule detects S3 Browser and Cyberduck, which are graphical S3 management tools that provide bulk upload/download capabilities. While legitimate, these tools are rarely used in enterprise environments and have been observed in use by threat actors for data exfiltration. Any activity from these clients should be validated against authorized data transfer workflows.

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Detects when a single AWS resource is running multiple read-only, discovery API calls in a 10-second window. This behavior could indicate an actor attempting to discover the AWS infrastructure using compromised credentials or a compromised instance. Adversaries may use this information to identify potential targets for further exploitation or to gain a better understanding of the target's infrastructure.

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Identifies a high number of failed S3 operations against a single bucket from a single source address within a short timeframe. This activity can indicate attempts to collect bucket objects or cause an increase in billing to an account via internal "AccessDenied" errors.

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Detects when an Amazon S3 bucket policy is modified to grant public access using a wildcard (Principal:"") statement. This rule analyzes PutBucketPolicy events that include both Effect=Allow and Principal:"" in the request parameters, indicating that permissions were extended to all identities, potentially making the bucket or its contents publicly accessible. Publicly exposing an S3 bucket is one of the most common causes of sensitive data leaks in AWS environments. Adversaries or misconfigurations can leverage this exposure to exfiltrate data, host malicious content, or collect credentials and logs left in open storage.

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Identifies when the same AWS principal, from the same source IP, successfully invokes read-only S3 control-plane APIs that reveal bucket posture across many buckets in a short period. This pattern can indicate automated reconnaissance or security scanning, similar to CSPM tools and post-compromise enumeration. The rule excludes AWS service principals, requires programmatic-style sessions (not Management Console credentials), and requires populated resource and identity fields so nulls do not skew cardinality.

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This rule detects when a JavaScript file is uploaded in an S3 static site directory (static/js/) by an IAM user or assumed role. This can indicate suspicious modification of web content hosted on S3, such as injecting malicious scripts into a static website frontend.

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Identifies a high-volume of AWS S3 objects stored in a bucket using using Server-Side Encryption with Customer-Provided Keys (SSE-C). Adversaries with compromised AWS credentials can encrypt objects in an S3 bucket using their own encryption keys, rendering the objects unreadable or recoverable without the key. This can be used as a form of ransomware to extort the bucket owner for the decryption key. This is a Threshold rule that triggers when this behavior is observed multiple times for a specific bucket in a short time-window.

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Identifies potential ransomware note being uploaded to an AWS S3 bucket. This rule detects the PutObject S3 API call with an object name commonly associated with ransomware notes. The keywords detected here rarely overlap with common file names and have been attributed to ransomware notes with high-confidence. Adversaries with access to a misconfigured S3 bucket may retrieve, delete, and replace objects with ransom notes to extort victims.

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Identifies when AWS S3 objects stored in a bucket are encrypted using Server-Side Encryption with Customer-Provided Keys (SSE-C). Adversaries with compromised AWS credentials can encrypt objects in an S3 bucket using their own encryption keys, rendering the objects unreadable or recoverable without the key. This can be used as a form of ransomware to extort the bucket owner for the decryption key. This is a New Terms rule that flags when this behavior is observed for the first time user and target bucket name.

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