agent: | Auto Exec |
What is an "Expert"? How do we create our own expert?
Add credentials for various integrations
Managing workspaces and access control
DagKnows Architecture Overview
Setting up SSO via Azure AD for Dagknows
Enable "Auto Exec" and "Send Execution Result to LLM" in "Adjust Settings" if desired
(Optionally) Add ubuntu user to docker group and refresh group membership
Deployment of an EKS Cluster with Worker Nodes in AWS
Adding, Deleting, Listing DagKnows Proxy credentials or key-value pairs
Comprehensive AWS Security and Compliance Evaluation Workflow (SOC2 Super Runbook)
AWS EKS Version Update 1.29 to 1.30 via terraform
Instruction to allow WinRM connection
MSP Usecase: User Onboarding Azure + M365
Post a message to a Slack channel
How to debug a kafka cluster and kafka topics?
Open VPN Troubleshooting (Powershell)
Execute a simple task on the proxy
Assign the proxy role to a user
Create roles to access credentials in proxy
Install OpenVPN client on Windows laptop
Setup Kubernetes kubectl and Minikube on Ubuntu 22.04 LTS
Install Prometheus and Grafana on the minikube cluster on EC2 instance in the monitoring namespace
update the EKS versions in different clusters
AI agent session 2024-09-12T09:36:14-07:00 by Sarang Dharmapurikar
Parse EDN content and give a JSON out
Check whether a user is there on Azure AD and if the user account status is enabled
Get the input parameters of a Jenkins pipeline
Check which buckets allow AWS S3 Bucket Public Read Access
The task involves scanning AWS S3 buckets to detect any that permit public read access, highlighting potential vulnerabilities in data privacy and security.
- 1Q6GwB4XEmKvA7IjX1TxcEnforce S3 Bucket Read Protection using Public Access Block Settings
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Enforce S3 Bucket Read Protection using Public Access Block Settings
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.This task strengthens data security by restricting public read access to specified AWS S3 buckets. It updates Block Public Access settings and ACLs, ensuring data confidentiality. This action aligns with security compliance standards to protect sensitive information.
inputsoutputsimport boto3 from botocore.exceptions import ClientError, NoCredentialsError, BotoCoreError creds = _get_creds(cred_label)['creds'] access_key = creds['username'] secret_key = creds['password'] def disable_public_write_access(bucket_name): """ Disables public write access for a specified S3 bucket by updating Block Public Access settings and ACL. """ s3 = boto3.client('s3',aws_access_key_id=access_key,aws_secret_access_key=secret_key) # Update Block Public Access settings to block public ACLs try: s3.put_public_access_block( Bucket=bucket_name, PublicAccessBlockConfiguration={ 'BlockPublicAcls': True, 'IgnorePublicAcls': True, 'BlockPublicPolicy': True, 'RestrictPublicBuckets': True } ) print(f"Updated Block Public Access settings for '{bucket_name}'.") except ClientError as e: print(f"Failed to update Block Public Access settings for '{bucket_name}': {e}") raise try: if bucket_name: #bucket_name = 'your-bucket-name' disable_public_write_access(bucket_name) else: print("Please provide a bucket name to restrict public access") except NoCredentialsError: print("No AWS credentials found. Please configure your credentials.") except BotoCoreError as e: print(f"An error occurred accessing AWS S3 service: {e}") except Exception as e: print(f"An unexpected error occurred: {e}")copied1