CVE-2026-15535: Deserialization in AkariAsai self-rag
A vulnerability was determined in AkariAsai self-rag up to 1fcdc420e48f50a7d7ab1ece5494221b93252e99. Affected by this issue is the function Indexer.deserialize_from of the file retrieval_lm/src/index.py of the component retrieval_lm. Executing a manipulation of the argument index_meta.faiss can lead to deserialization. The attack may be launched remotely. The exploit has been publicly disclosed and may be utilized. This product operates on a rolling release basis, ensuring continuous delivery. Consequently, there are no version details for either affected or updated releases. The project was informed of the problem early through an issue report but has not responded yet.
AI Analysis
Technical Summary
This vulnerability involves unsafe deserialization in the Indexer.deserialize_from function of the retrieval_lm component in AkariAsai self-rag. An attacker can manipulate the index_meta.faiss argument to cause deserialization, which may lead to remote exploitation. The product is delivered via rolling releases, and no specific affected or patched versions are available. The vendor has not yet issued a response or remediation. The CVSS 4.0 vector indicates network attack vector, low attack complexity, no privileges or user interaction required, and low to low impact on confidentiality, integrity, and availability.
Potential Impact
Successful exploitation could allow an attacker to perform deserialization attacks remotely, potentially leading to unauthorized code execution or other impacts depending on the deserialization context. The CVSS score of 5.3 reflects a medium severity with limited impact on confidentiality, integrity, and availability. No known exploits in the wild have been reported.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since the vendor has not responded or provided a fix, users should monitor official channels for updates. Until a fix is available, avoid processing untrusted input in the affected function if possible.
CVE-2026-15535: Deserialization in AkariAsai self-rag
Description
A vulnerability was determined in AkariAsai self-rag up to 1fcdc420e48f50a7d7ab1ece5494221b93252e99. Affected by this issue is the function Indexer.deserialize_from of the file retrieval_lm/src/index.py of the component retrieval_lm. Executing a manipulation of the argument index_meta.faiss can lead to deserialization. The attack may be launched remotely. The exploit has been publicly disclosed and may be utilized. This product operates on a rolling release basis, ensuring continuous delivery. Consequently, there are no version details for either affected or updated releases. The project was informed of the problem early through an issue report but has not responded yet.
CVSS v4.0
Score 5.3medium
Affected software
cpe:2.3:a:akariasai:self-rag:*:*:*:*:*:*:*:*AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability involves unsafe deserialization in the Indexer.deserialize_from function of the retrieval_lm component in AkariAsai self-rag. An attacker can manipulate the index_meta.faiss argument to cause deserialization, which may lead to remote exploitation. The product is delivered via rolling releases, and no specific affected or patched versions are available. The vendor has not yet issued a response or remediation. The CVSS 4.0 vector indicates network attack vector, low attack complexity, no privileges or user interaction required, and low to low impact on confidentiality, integrity, and availability.
Potential Impact
Successful exploitation could allow an attacker to perform deserialization attacks remotely, potentially leading to unauthorized code execution or other impacts depending on the deserialization context. The CVSS score of 5.3 reflects a medium severity with limited impact on confidentiality, integrity, and availability. No known exploits in the wild have been reported.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since the vendor has not responded or provided a fix, users should monitor official channels for updates. Until a fix is available, avoid processing untrusted input in the affected function if possible.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-07-12T17:56:16.350Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a54750d68715ace433701e6
Added to database: 07/13/2026, 05:18:05 UTC
Last enriched: 07/13/2026, 05:32:29 UTC
Last updated: 08/26/2026, 10:52:07 UTC
Views: 66
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