Securing Identity Attack Paths: Protecting Cached AWS Credentials

The Growing Risk of Identity-Based Attack Paths

Modern security perimeters have shifted from the network edge to the identity layer. According to The Hacker News, a single cached access key on a Windows workstation can serve as a primary vector for extensive cloud compromise. This scenario does not necessarily stem from a misconfiguration or a violation of corporate policy; rather, it often arises from standard AWS CLI behavior where credentials are automatically stored after a user logs in.

For a SOC analyst, this represents a significant challenge. Traditional security tools often focus on detecting malware or anomalous network traffic, but identity-centric threats leverage legitimate credentials to navigate infrastructure. This vulnerability allows even low-skilled attackers to discover an attack path that could potentially lead to 98% of the entities within a company’s cloud environment. Understanding the mechanics of these paths is essential for developing an identity-centric lateral movement defense.

Technical Analysis: How Identity Becomes an Attack Path

The primary issue lies in the disconnect between endpoint security and cloud identity management. When a developer or administrator uses the AWS CLI on a local machine, the system may cache long-lived access keys in plain text within the .aws/credentials file. If an attacker gains initial access to the machine through Phishing or other means, they can harvest these keys without requiring Privilege Escalation on the local operating system.

Once obtained, these keys allow the attacker to authenticate to the cloud environment as the compromised user. Because many organizations fail to implement granular IAM policies, these credentials often carry excessive permissions. The attacker can then perform reconnaissance to identify connected resources, such as S3 buckets, RDS databases, or EC2 instances. This sequence aligns with the MITRE ATT&CK framework technique T1552.004 (Unsecured Credentials: Private Keys), facilitating seamless Lateral Movement from an on-premises asset into the heart of the cloud control plane.

## How to detect identity-based attack paths

Detecting these threats requires a transition toward Zero Trust principles and enhanced visibility. Organizations must integrate their SIEM and EDR telemetry with cloud audit logs (such as AWS CloudTrail). A primary indicator of compromise involves identifying logins from unexpected IP addresses or geographic locations using known administrative credentials.

Security teams should also monitor for the execution of enumeration commands shortly after a login event, which is a common TTP for an APT or opportunistic attacker looking to map the cloud environment. Automated tools can now simulate these attack paths, identifying which local machines hold keys that lead to high-value cloud assets. This proactive mapping allows defenders to visualize the ‘blast radius’ of a single compromised endpoint.

Strategic Mitigations for Securing AWS CLI Credential Storage

To effectively mitigate this risk, organizations must move away from long-lived credentials. Prioritizing securing AWS CLI credential storage involves the following technical controls:

• Short-Lived Tokens: Use AWS IAM Identity Center (formerly AWS SSO) to provide temporary, time-bound credentials rather than static access keys.
• Hardware Security Modules (HSM): Where possible, ensure that sensitive keys are stored in hardware-backed repositories that prevent plain-text extraction.
• Endpoint Scanning: Deploy automated scripts or EDR policies to scan for and alert on the presence of unencrypted credential files in user directories.
• Least Privilege: Audit IAM policies to ensure that users only have the permissions necessary for their specific roles, reducing the potential impact if a key is leaked.

By treating identity as the new perimeter, organizations can disrupt the link between a compromised workstation and their entire cloud infrastructure.