Rule set sha256:bd65ec208a53
PROMPT_SECURITY_INDIRECT_INJECTION_SEPARATOR_HIJACK_001
One rule of the rule set with digest bd65ec208a532545cac038041e8bb3c2f62a09305837af00fa0917875f49eb75. An audit record that names this digest and this rule was decided by the rule as shown here. Every rule in this set.
| Rule | PROMPT_SECURITY_INDIRECT_INJECTION_SEPARATOR_HIJACK_001 |
|---|---|
| Rule version | 3870cea13678fb0332f4f9566e66543c3678765d02bc2480a25a5d13f5e74920 |
| Provision | Regulation (EU) 2024/1689, Article 15(5) ELI: http://data.europa.eu/eli/reg/2024/1689/art_15/par_5/oj |
| Approval | Not approved |
rules/regulations/universal/prompt_security/indirect_injection_separator_hijack.yaml
- Citation
- Regulation (EU) 2024/1689, Article 15(5): High-risk AI systems shall be resilient against attempts by unauthorised third parties to alter their use, outputs or performance by exploiting system vulnerabilities. The technical solutions aiming to ensure the cybersecurity of high-risk AI systems shall be appropriate to the relevant circumstances and the risks. The technical solutions to address AI specific vulnerabilities shall include, where appropriate, measures to prevent, detect, respond to, resolve and control for attacks trying to manipulate the training data set (data poisoning), or pre-trained components used in training (model poisoning), inputs designed to cause the AI model to make a mistake (adversarial examples or model evasion), confidentiality attacks or model flaws.
- Condition
- Detects indirect prompt injection via separator-hijack patterns: content embedding delimiters that purport to end the user-input region and start fake new-instructions. Tool-mediated IPI shape. EU AI Act Article 15 Layer-1 catch. Source: OWASP LLM01.
- Condition type
- regex; semantic condition in the file, not run by the engine
- Status in the file
- review