gdpr-dpa
Fail
Audited by Gen Agent Trust Hub on Jun 15, 2026
Risk Level: HIGHCREDENTIALS_UNSAFEDATA_EXFILTRATIONPROMPT_INJECTION
Full Analysis
- [CREDENTIALS_UNSAFE]: The skill is explicitly instructed to scan sensitive configuration files such as
.env,.env.example,.env.sample, and.env.templatespecifically to find and identify secret keys likeSTRIPE_SECRET_KEY,SENTRY_DSN,RESEND_API_KEY, andTRIGGER_SECRET_KEY. - [DATA_EXFILTRATION]: The workflow requires reading a broad range of sensitive application files, including dependency manifests (
package-lock.json,yarn.lock), infrastructure configs (docker-compose.yml), and source code across various languages, which may contain proprietary information or credentials. - [PROMPT_INJECTION]: The skill exhibits a significant surface for Indirect Prompt Injection by ingesting and processing untrusted data from the project being scanned.
- Ingestion points: Project files including
package.json,requirements.txt,.env,Dockerfile, and various source code files. - Boundary markers: None specified; the agent is not instructed to ignore or delimit embedded instructions within the scanned data.
- Capability inventory: The skill performs extensive file reading across the project directory and has the capability to write a new file (
DPA.md). - Sanitization: No evidence of sanitization, escaping, or validation of the content read from external project files before it is processed for DPA generation.
Recommendations
- AI detected serious security threats
Audit Metadata