AkariAsai self-rag up to 1fcdc420e48f50a7d7ab1ece5494221b93252e99 retrieval_lm index.py Indexer.deserialize_from index_meta.faiss deserialization

Summaryinfo

A vulnerability marked as critical has been reported in AkariAsai self-rag up to 1fcdc420e48f50a7d7ab1ece5494221b93252e99. This affects the function Indexer.deserialize_from of the file retrieval_lm/src/index.py of the component retrieval_lm. The manipulation of the argument index_meta.faiss leads to deserialization. This vulnerability is referenced as CVE-2026-15535. Remote exploitation of the attack is possible. Furthermore, an exploit is available. This product follows a rolling release approach for continuous delivery, so version details for affected or updated releases are not provided. The project was informed of the problem early through an issue report but has not responded yet.

Detailsinfo

A vulnerability, which was classified as critical, has been found in AkariAsai self-rag up to 1fcdc420e48f50a7d7ab1ece5494221b93252e99. This issue affects the function Indexer.deserialize_from of the file retrieval_lm/src/index.py of the component retrieval_lm. The manipulation of the argument index_meta.faiss with an unknown input leads to a deserialization vulnerability. Using CWE to declare the problem leads to CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. Impacted is confidentiality, integrity, and availability.

The advisory is shared at github.com. The identification of this vulnerability is CVE-2026-15535. The exploitation is known to be easy. The attack may be initiated remotely. Technical details as well as a public exploit are known.

The exploit is available at github.com. It is declared as proof-of-concept. The project was informed of the problem early through an issue report but has not responded yet.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Vendor

• AkariAsai

Name

• self-rag

Version

• 1fcdc420e48f50a7d7ab1ece5494221b93252e99

Website

• Product: https://github.com/AkariAsai/self-rag/

CPE 2.3info

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CPE 2.2info

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Accepted

• Submit #854999: AkariAsai self-rag 1fcdc420e48f50a7d7ab1ece5494221b93252e99 Unsafe Deserialization / Integrity Bypass (by Dem00000)

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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