Where Are AWS Cli Credentials Stored
The AWS command line tool saves secret keys in a hidden folder inside your home path. Knowing where are aws cli credentials stored helps teams protect local files and stop key leaks. On Linux and macOS machines, the tool writes these keys to a plain text file. On Windows machines, it places the same file inside your main user profile folder. You can also load keys through shell variables or single sign-on tokens. How where are aws cli credentials stored works in practice When an engineer or
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The AWS command line tool saves secret keys in a hidden folder inside your home path. Knowing where are aws cli credentials stored helps teams protect local files and stop key leaks.
On Linux and macOS machines, the tool writes these keys to a plain text file. On Windows machines, it places the same file inside your main user profile folder. You can also load keys through shell variables or single sign-on tokens.
How where are aws cli credentials stored works in practice
When an engineer or an AI agent runs a cloud command, the tool searches for keys. It checks several places on your machine in a strict, fixed order. First, it checks the command line options you typed for that single run. Second, it reads active shell variables saved in your current terminal window.
If it finds no variables, it checks your single sign-on cache folder for temporary tokens. Next, it reads the shared credentials file inside your hidden home folder. After that, it checks the shared config file in that exact same folder. If you run the tool on a cloud server, it asks the server metadata service last.
The shared files split your settings into two clear parts. The credentials file holds your access key ID and your secret access key. The config file holds your default region, output format, and role settings. Both files support named profiles so you can switch between test and live accounts.
When an AI agent runs local scripts, it uses this exact same lookup chain. If a default profile sits in your home folder, the agent uses those keys right away.
Security risks of local credential files
Saving static keys in plain text files creates real risks for engineering teams. Any local script, third-party package, or rogue agent can read your home folder. Once a bad actor copies that file, they can use your cloud account from anywhere. Static keys do not expire on their own unless an admin deletes them.
Ephemeral Credentials + AWS IAM Policies: architecture patterns and best practices
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Cloud roles and single sign-on tokens reduce this risk by using short time limits. Still, temporary tokens still sit in local cache files while your session is active. If an AI agent or engineer has an active session, local tools can use those tokens. Standard cloud roles also grant broad permissions across many database tables or storage buckets.
A role checks who you are when you log in, not what each command does. It cannot pause a dangerous delete command before it runs in your live account. It also cannot mask sensitive fields like emails, phone numbers, card numbers, or national IDs. When a query runs, data masking rewrites matched fields in results before they reach the screen.
Managing profiles across developer machines and agents
Teams often use multiple named profiles to separate development work from production systems. You can group each project under its own profile heading in the shared files. Engineers then pick a specific profile by setting a shell variable before running commands. This habit stops people from running test scripts against live cloud resources by mistake.
Still, managing files across dozens of laptops and agent hosts takes constant work. Keys get copied into chat messages, build servers, and local code folders over time. Rotating those static keys means updating every single machine where someone pasted them. Moving away from local plain text keys keeps your cloud accounts much safer.
Govern statements and responses across databases and APIs
Good config and scoped roles are needed setup. They do not check single queries in flight or mask sensitive fields in returned rows. Across Postgres, MySQL, SQL Server, MongoDB, ClickHouse, Kubernetes APIs, SSH, and internal HTTP endpoints, hoop.dev runs beside each supported service as an open-source proxy, a sidecar for your database or API.
First, hoop.dev guardrails block banned queries before they run. Then hoop.dev data masking rewrites matched sensitive values in responses in memory. The audit trail records every statement and verdict per resource. Furthermore, hoop.dev holds SOC 2 Type II and is open source on GitHub.
Frequently asked questions
Can I change the folder where the tool looks for keys?
Yes, you can set a shell variable to point the tool to a custom file path. The tool will then read your keys from that new folder instead of your home folder.
What is the difference between the config and credentials files?
The credentials file stores only secret keys and session tokens for your profiles. The config file stores non-secret settings like regions, output styles, and role names.
Do single sign-on sessions use the same credentials file?
No, single sign-on logins save short-lived tokens inside a separate cache sub-folder. The main config file only holds the start URL and account details for that login.