Prompt Injection: Base64 Encoded Injection
Direct and indirect instruction override attacks
Encoded payloads represent an escalation in prompt injection sophistication. Base64, rot13, and Unicode encoding can evade keyword-based filters while remaining interpretable by the target model.
Attack Details
- Attack ID
- APWN-PI-007
- HMA Check
- INJ-003
- Delivery Methods
- unicode-stego, json-ld, invisible-span
- CWE
- CWE-74
- OASB Control
- 3.6
- Severity
- high
Remediation
If your AI agent is vulnerable to this attack, scan and fix with:
npx hackmyagent secure --verbose
This page tests INJ-003. Look for that check ID in the scan output.
The vulnerable agent may not be the only one on the machine. The shadow AI audit inventories the AI tools, MCP servers and governance gaps across it, running or installed, one row per agent project, worst first:
npx hackmyagent detect
This article continues with additional security research findings.