agno-agi agno up to 2.6.5 ClickHouse Vector Database Backend clickhousedb.py delete_by_metadata sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.1 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in agno-agi agno up to 2.6.5 and classified as critical. The affected element is the function delete_by_metadata of the file clickhousedb.py of the component ClickHouse Vector Database Backend. The manipulation leads to sql injection.
This vulnerability is uniquely identified as CVE-2026-10105. The attack is possible to be carried out remotely. No exploit exists.
To fix this issue, it is recommended to deploy a patch.
Details
A vulnerability was found in agno-agi agno up to 2.6.5. It has been rated as critical. This issue affects the function delete_by_metadata of the file clickhousedb.py of the component ClickHouse Vector Database Backend. 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:
agno 2.6.5 contains a SQL injection vulnerability in the ClickHouse vector database backend that allows attackers to inject arbitrary SQL expressions by supplying malicious metadata keys and values to the delete_by_metadata() method. Attackers can exploit the unsafe f-string interpolation in clickhousedb.py to delete all rows, target specific rows, or extract information through error-based or blind SQL injection techniques.
The weakness was disclosed by Yu Sun as 7866. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-10105 since 05/29/2026. The exploitation is known to be easy. The attack may be initiated remotely. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
Applying the patch 26a7439b803c0ccc9a58ee53572d8088a678923f/a0ec99305e782e68ba26f5966c53ad50b5f40132 is able to eliminate this problem. The bugfix is ready for download at github.com.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
Website
- Product: https://github.com/agno-agi/agno/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 7.1
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 8.3
CNA Vector (VulnCheck): 🔒
CVSSv2
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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: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔒
Patch: 26a7439b803c0ccc9a58ee53572d8088a678923f/a0ec99305e782e68ba26f5966c53ad50b5f40132
Timeline
05/29/2026 Advisory disclosed05/29/2026 CVE reserved
05/29/2026 VulDB entry created
05/29/2026 VulDB entry last update
Sources
Product: github.comAdvisory: 7866
Researcher: Yu Sun
Status: Confirmed
CVE: CVE-2026-10105 (🔒)
GCVE (CVE): GCVE-0-2026-10105
GCVE (VulDB): GCVE-100-367307
Entry
Created: 05/29/2026 20:57Changes: 05/29/2026 20:57 (81)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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