R2R vulnerabilities
4 known vulnerabilities in R2R from SciPhi-AI. 4 are rated high or critical. Each entry lists the affected versions and the release that fixes it, where the vendor has published one.
Latest first
- 7.3 High severity
R2R: Server-Side Request Forgery
A vulnerability was identified in SciPhi-AI R2R up to 3.6.6. This vulnerability affects unknown code of the file py/shared/abstractions/llm.py of the component Retrieval Completion API Endpoint. Such manipulation of the argument generation_config.api_base lead
- 7.3 High severity
R2R: Use of Hard-coded Password
A vulnerability was determined in SciPhi-AI R2R up to 3.6.6. This affects an unknown part of the component JWT Secret Handler. This manipulation of the argument DEFAULT_BCRYPT_SECRET_KEY/DEFAULT_NACL_SECRET_KEY causes hard-coded credentials. The attack can be
- 7.5 High severity
R2R: Improper Neutralization of Special Elements used in an SQL Command
R2R through 3.6.6 contains a SQL injection vulnerability that allows unauthenticated attackers to inject SQL predicates into the chunks search query by manipulating the filter key parameter in the retrieval search endpoint. Attackers can exploit the direct int
- 9.8 Critical severity
R2R: Improper Neutralization of Special Elements used in an SQL Command
R2R through 3.6.6 contains a stacked SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL statements by manipulating the index name parameter in the vector index creation endpoint. The index name is interpolated directly i