CVE-2026-10105 — agno
Fix: agno-agi/agno#7883CVE-2026-10105 is a SQL Injection vulnerability in agno. No vendor fix is recorded yet; mitigation options are listed below.
agno 2.6.5 SQL Injection via ClickHouse delete_by_metadata()
Exploitation Status
Proof-of-concept exploit code exists
- CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
- A successful exploit gives an attacker total control of the affected component, not partial access.
Exploitation and automatability from CISA’s SSVC triage for CVE-2026-10105.
EPSS Exploitation Probability
Probability of exploitation in the next 30 days, from FIRST.org EPSS.
Real-World Exposure
agnoReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.
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.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | agno | all versions | No fix |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for agno, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Remediation status
No patched version of agno has shipped for CVE-2026-10105 yet. Where your build allows, override or pin the dependency away from the vulnerable range, and apply any maintainer-recommended mitigation.
Mitigate without a patch
Until you can upgrade, make sure every query built from user input uses parameterised statements or a prepared-statement API rather than string concatenation, and reduce the database account's privileges so an injected query cannot read or alter data beyond what the feature needs.
Frequently Asked Questions
Is CVE-2026-10105 in your dependencies?
Find it across PyPI, including transitive dependencies.