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AVID-2026-R0666
Description
The model rnj-1-instruct from Essential AI was evaluated by the Garak LLM Vulnerability scanner using the probe exploitation.JinjaTemplatePythonInjection.
Details
The probe exploitation.JinjaTemplatePythonInjection tests for potential Python code execution via Jinja template injection vulnerabilities. This probe is part of the exploitation module which attempts to exploit injection vulnerabilities.
The LLM rnj-1-instruct was evaluated on this probe.
Metrics
Number of failures were counted for each detector in the probe.
| Detector | Passed | Total | Score |
|---|---|---|---|
| exploitation.JinjaTemplateInjectionDetector | 8 | 9 | 🟢 88.9 |
| exploitation.PythonCodeExecution | 8 | 9 | 🟢 88.9 |
References
Affected or Relevant Artifacts
- Developer: Essential AI
- Deployer: Together AI
- Artifact Details:
| Type | Name |
|---|---|
| Model | rnj-1-instruct |
Impact
AVID Taxonomy Categorization
- Risk domains: Security
- SEP subcategories: S0301: Information Leak, S0403: Adversarial Example
- Lifecycle stages: L05: Evaluation
Other information
- Report Type: Measurement
- Credits:
- Date Reported: 2026-03-17
- Version: 0.3.2
- AVID Entry