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Description
Multiple vector store integrations in run-llama/llama_index version v0.12.21 have SQL injection vulnerabilities. These vulnerabilities allow an attacker to read and write data using SQL, potentially leading to unauthorized access to data of other users depending on the usage of the llama-index library in a web application.
Basic information
Type
reviewed
Severity
critical
Advisory on GitHub
Open advisory ↗
Repository advisory
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Source code
Browse source ↗
Published (advisory)
2025-06-05 06:30:26 UTC
Updated
2025-06-06 17:24:33 UTC
GitHub reviewed
2025-06-06 17:24:32 UTC
NVD published
2025-06-05 05:15:23 UTC
EPSS Score
Score
Percentile
0.06%
19.32%
CVSS Scores
Base score
Version
Severity
Vector
9.8
3.0
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CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
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Attack vector (AV:N)
Could be attacked over the internet or any normal routed network—not just someone sitting at the machine.
Attack complexity (AC:L)
Once they can reach the bug, pulling it off is straightforward—no weird race conditions or rare setup.
Privileges required (PR:N)
No account or special rights needed—anonymous or random user is enough.
User interaction (UI:N)
Nobody has to click “OK” or open a trap file; it can work without a victim helping.
Scope (S:U)
Damage stays in the same “trust bubble” as the broken component—no big spill into unrelated systems.
Confidentiality (C:H)
Serious risk that confidential data gets exposed in a big way.
Integrity (I:H)
They could widely tamper with or forge data—trust in the data is badly hurt.
Availability (A:H)
Could take the service down hard or make it unusable for people who depend on it.
CWEs
CWE id
Name
CWE-89
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Affected packages (1)
Vulnerable version ranges and first patched releases as published by GitHub.
Ecosystem
Package
Vulnerable range
First patched
Vulnerable functions
pip
llama-index
< 0.12.28
0.12.28
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cvelogic
Threat Intelligence