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AWS Security Academy · Lesson

Signs of Leaked Access Keys

Recognize the findings that point to stolen long-term credentials.

Signs of Leaked Access Keys is a free AWS Security Academy lesson on CoddyKit — lesson 1 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the AWS Security Academy learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.

What a Leaked Key Means

An IAM access key is a long-term credential — an access key ID and secret — that lets code or a user call AWS APIs. If it leaks, an attacker can act as that identity from anywhere.

Leaked keys are one of the most common AWS breaches, usually because a key was hardcoded and pushed to a public repository.

How Keys Leak

Keys escape in predictable ways:

  • Committed to a public GitHub repository.
  • Embedded in a mobile or client-side app.
  • Logged in plaintext or shared over chat.
  • Stored in a misconfigured public S3 bucket.

Long-term keys are the riskiest credential precisely because they do not expire on their own.

GuardDuty Catches It

Amazon GuardDuty raises specific findings for credential abuse, such as UnauthorizedAccess:IAMUser/InstanceCredentialExfiltration or anomalous API calls.

It flags activity like a key suddenly used from a new country or a Tor exit node — strong signals that a credential is no longer in the right hands.

AWS May Email You

AWS proactively scans public sites for exposed keys. If it finds one of yours, it sends an abuse notice and may apply a quarantine policy (AWSCompromisedKeyQuarantine) that blocks dangerous actions.

Receiving such an email is an unmistakable sign: treat it as a confirmed incident immediately.

Unusual API Patterns

Watch for behavior that does not fit the key's normal job:

  • Calls from unfamiliar regions or IP addresses.
  • Reconnaissance actions like ListBuckets or DescribeInstances at odd hours.
  • Attempts to create new IAM users or attach admin policies.

Attackers explore before they exploit, and that exploration is detectable.

Cost and Resource Spikes

A sudden surge in your AWS bill or unexpected resources is a classic symptom. Attackers love to spin up large fleets of EC2 instances for cryptomining.

AWS Budgets alerts and Cost Anomaly Detection can warn you of the financial fingerprint a compromised key often leaves behind.

CloudTrail Tells the Story

CloudTrail records every API call, including the access key ID that made it. Filtering on a suspect key reveals exactly what the attacker did and when.

Look at the source IP, user agent, and called actions to scope the damage and decide what needs to be rotated or rolled back.

aws cloudtrail lookup-events \
  --lookup-attributes AttributeKey=AccessKeyId,\
AttributeValue=AKIAEXAMPLE

Privilege Escalation Signs

A common attacker goal is to turn a low-privilege key into broad access. Watch for IAM changes: new users, new keys, attached policies, or role assumptions.

IAM Access Analyzer and CloudTrail together help you spot an identity that suddenly gained powers it should not have.

Failed and Denied Calls

A burst of access-denied errors can be as telling as successful calls. An attacker probing what a stolen key can do generates many failures.

CloudTrail logs these denials too, so a spike of AccessDenied events from one key is a red flag worth investigating right away.

Prevention Reduces Signals

The best signal is the one you never have to read. Prefer temporary credentials from IAM roles over long-term keys, scan repositories for secrets, and rotate keys regularly.

Fewer long-term keys mean fewer ways to leak and a smaller surface for these findings to appear in the first place.

Correlate the Signals

One signal alone may be benign; together they confirm a compromise. A finding from a new region, a cost spike, and IAM changes from the same key form a clear pattern.

Use Security Hub and Detective to correlate signals across services, turning scattered alerts into a single, confident conclusion about a leaked credential.

Quick Check

Spot the strongest leak signal.

Recap

Leaked long-term access keys are a top AWS breach vector. Watch for GuardDuty credential findings, AWS abuse emails, calls from new regions, cost spikes from cryptomining, IAM privilege escalation, and bursts of access-denied errors. CloudTrail ties activity to the offending key so you can scope the damage. The best defense is to use temporary role credentials and scan for secrets, so leaks rarely happen at all.

Frequently asked questions

Is the “Signs of Leaked Access Keys” lesson free?

Yes — the full text of “Signs of Leaked Access Keys” is free to read here on the web, and the AWS Security Academy course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the AWS Security Academy course, upgrade to CoddyKit PRO.

What will I learn in “Signs of Leaked Access Keys”?

Recognize the findings that point to stolen long-term credentials. You practise AWS Security Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start AWS Security Academy?

No prior experience is required. AWS Security Academy on CoddyKit is structured for beginners through advanced learners; this is — lesson 1 of 4, so you can start here or from the beginning and move at your own pace.

How long does the “Signs of Leaked Access Keys” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this AWS Security Academy lesson?

Yes. Every AWS Security Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. Signs of Leaked Access Keys
  2. Revoking and Rotating Exposed Secrets
  3. Quarantining a Compromised EC2 Instance
  4. Snapshotting Volumes for Forensics
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