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Complete skill folder anatomy across all cybersecurity skills: - scripts/agent.py: 80-150 line Python agents using real libraries (impacket, boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.) - references/api-reference.md: real API documentation with method signatures - LICENSE: MIT license for all skill folders
1.7 KiB
1.7 KiB
API Reference: SSTI Detection Agent
Dependencies
| Library | Version | Purpose |
|---|---|---|
| requests | >=2.28 | HTTP client for sending template injection payloads |
CLI Usage
python scripts/agent.py --url "https://target.com/page" --param name --method GET --output ssti.json
Functions
test_ssti_detection(url, param, method, headers) -> list
Tests 7 engine-specific payloads ({{7*7}}, ${7*7}, etc.) and checks if 49 appears in the response.
identify_engine(url, param, method, headers) -> dict
Differentiates engines: {{7*'7'}} returning 7777777 = Jinja2, 49 = Twig. Also tests Freemarker (${.now}) and Velocity.
test_jinja2_rce(url, param, method, headers) -> list
Tests cycler.__init__.__globals__.os.popen, lipsum.__globals__, and config.SECRET_KEY disclosure.
test_twig_rce(url, param, method, headers) -> list
Tests filter('system') and file_excerpt payloads.
test_freemarker_rce(url, param, method, headers) -> list
Tests freemarker.template.utility.Execute for Java command execution.
run_assessment(url, param, method) -> dict
Runs detection, identifies engine, then tests engine-specific RCE payloads.
Detection Payloads
| Engine | Payload | Expected |
|---|---|---|
| Jinja2/Twig | {{7*7}} |
49 |
| Freemarker | ${7*7} |
49 |
| ERB/EJS | <%= 7*7 %> |
49 |
| Smarty | {7*7} |
49 |
| Velocity | #set($x=7*7)$x |
49 |
Output Schema
{
"target": "https://target.com/page",
"parameter": "name",
"vulnerable": true,
"engine": {"engine": "Jinja2", "language": "Python"},
"rce_tests": [{"name": "cycler_popen", "rce_confirmed": true}]
}