run-llama llama_index up to 0.3.0 DuckDBVectorStore delete ref_doc_id sql injection

CVSS Meta Temp Score
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CTI Interest Score
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8.4$0-$5k0.00

Summaryinfo

A vulnerability identified as critical has been detected in run-llama llama_index up to 0.3.0. This issue affects the function delete of the component DuckDBVectorStore. Performing a manipulation of the argument ref_doc_id results in sql injection. This vulnerability is cataloged as CVE-2025-1750. It is possible to initiate the attack remotely. There is no exploit available. You should upgrade the affected component.

Detailsinfo

A vulnerability, which was classified as critical, was found in run-llama llama_index up to 0.3.0. This affects the function delete of the component DuckDBVectorStore. The manipulation of the argument ref_doc_id with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

An SQL injection vulnerability exists in the delete function of DuckDBVectorStore in run-llama/llama_index version v0.12.19. This vulnerability allows an attacker to manipulate the ref_doc_id parameter, enabling them to read and write arbitrary files on the server, potentially leading to remote code execution (RCE).

The advisory is shared at huntr.com. This vulnerability is uniquely identified as CVE-2025-1750 since 02/27/2025. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1505 for this issue.

Upgrading to version 0.3.1 eliminates this vulnerability. Applying the patch 369a2942df2efcf6b74461c45d20a0af1fbe4ae2 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.4

VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 9.8
CNA Vector (@huntr_ai): 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: llama_index 0.3.1
Patch: 369a2942df2efcf6b74461c45d20a0af1fbe4ae2

Timelineinfo

02/27/2025 🔍
06/02/2025 +94 days 🔍
06/02/2025 +0 days 🔍
06/03/2025 +1 days 🔍

Sourcesinfo

Product: github.com

Advisory: huntr.com
Status: Confirmed

CVE: CVE-2025-1750 (🔍)
GCVE (CVE): GCVE-0-2025-1750
GCVE (VulDB): GCVE-100-310809

Entryinfo

Created: 06/02/2025 13:58
Updated: 06/03/2025 06:48
Changes: 06/02/2025 13:58 (68), 06/03/2025 06:48 (1)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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