8.7
HIGH CVSS 4.0
CVE-2026-10105
agno 2.6.5 SQL Injection via ClickHouse delete_by_metadata()
Description

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.

INFO

Published Date :

May 29, 2026, 4:18 p.m.

Last Modified :

May 29, 2026, 4:18 p.m.

Remotely Exploit :

Yes !

Source :

VulnCheck
Affected Products

The following products are affected by CVE-2026-10105 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

No affected product recoded yet

CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
Score Version Severity Vector Exploitability Score Impact Score Source
CVSS 3.1 HIGH 83251b91-4cc7-4094-a5c7-464a1b83ea10
CVSS 4.0 HIGH 83251b91-4cc7-4094-a5c7-464a1b83ea10
Solution
Update agno to a version that addresses SQL injection in the ClickHouse backend.
  • Update agno to a secure version.
  • Sanitize metadata keys and values.
  • Avoid unsafe f-string interpolation.
  • Use parameterized queries for database interaction.

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2026-10105 vulnerability anywhere in the article.

EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.