Individual skill
cloud-credential-abuse
Provider-aware credential abuse — validating found AWS keys/tokens, Azure ARM/Graph/refresh tokens, and GCP service-account credentials, identifying principals, audiences, effective permissions, and escalation paths, transitioning Xalgorix into credentialed cloud attack mode
internal/tools/skills/data/cloud-security/cloud-credential-abuse/SKILL.md
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- Last checked
- Nov 9, 2026
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- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- engineering Derived category
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# Cloud Credential Abuse
## Purpose
Answer: "Xalgorix found a cloud credential/token — what happens next?" Validate it cheaply, identify exactly what it is, expand it into durable identity context, and route to the right escalation path. Invalid credentials are discarded quickly; valid ones become attack-surface state.
## Entry Conditions
- A discovered credential: from file disclosure, metadata chains, JS/config exposure, secret vaults, git history, phishing-captured context, or operator-supplied scope
- Care with handling: record provenance and attributes; use via provider CLIs from the test environment
## Discovery Signals (what a credential looks like)
```text
AWS : AccessKeyId (AKIA/ASIA...), SecretAccessKey, SessionToken (ASIA = temporary/session),
~/.aws/credentials, AWS_* env vars, instance-role JSON
Azure : ARM tokens (aud=management.azure.com), Graph tokens, refresh tokens,