| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.4 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in run-llama llama_index up to 0.12.27 and classified as critical. This vulnerability affects unknown code. The manipulation leads to sql injection. This vulnerability is uniquely identified as CVE-2025-1793. The attack is possible to be carried out remotely. No exploit exists. The affected component should be upgraded.
Details
A vulnerability was found in run-llama llama_index up to 0.12.27. It has been rated as critical. This issue affects an unknown part. The manipulation with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to 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. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
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.
The advisory is shared at huntr.com. The identification of this vulnerability is CVE-2025-1793 since 02/28/2025. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1505 for this issue.
Upgrading to version 0.12.28 eliminates this vulnerability.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2025-16964). If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Vendor
Name
Version
- 0.12.0
- 0.12.1
- 0.12.2
- 0.12.3
- 0.12.4
- 0.12.5
- 0.12.6
- 0.12.7
- 0.12.8
- 0.12.9
- 0.12.10
- 0.12.11
- 0.12.12
- 0.12.13
- 0.12.14
- 0.12.15
- 0.12.16
- 0.12.17
- 0.12.18
- 0.12.19
- 0.12.20
- 0.12.21
- 0.12.22
- 0.12.23
- 0.12.24
- 0.12.25
- 0.12.26
- 0.12.27
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.5VulDB 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): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Sql injectionCWE: 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: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: llama_index 0.12.28
Timeline
02/28/2025 🔍06/05/2025 🔍
06/05/2025 🔍
07/31/2025 🔍
Sources
Advisory: huntr.comStatus: Confirmed
CVE: CVE-2025-1793 (🔍)
GCVE (CVE): GCVE-0-2025-1793
GCVE (VulDB): GCVE-100-311237
EUVD: 🔍
Entry
Created: 06/05/2025 07:11Updated: 07/31/2025 00:38
Changes: 06/05/2025 07:11 (63), 06/05/2025 11:37 (1), 07/31/2025 00:38 (1)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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