CVE-2026-12895
Overview
CVE-2026-12895 is a known-severity vulnerability. It was published on July 29, 2026.
Technical Description
SQL injection in Frappe's ERPNext, versions ERPNext 15.107.0 and Frappe 15.107.2. The application constructs SQL queries through direct string interpolation using `str.format()` without employing parameterized queries, allowing the name (docname) of a Supplier record containing SQL metacharacters to be interpreted as part of the query. Exploitation of this vulnerability could allow an authenticated user with low privileges to execute arbitrary SQL queries, bypass Frappe’s access restrictions (DocPerm), extract confidential information from the database—including fragments of the administrator’s password hash—and access other sensitive data, such as credentials, integration tokens, or financial information.
Remediation
Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Frequently Asked Questions
What is CVE-2026-12895?
CVE-2026-12895 is a known-severity vulnerability. It was published on July 29, 2026.
How severe is CVE-2026-12895?
CVSS score information is not yet available for this vulnerability. Check back as the CVE record is updated by NVD analysts.
How do I fix or remediate CVE-2026-12895?
Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2026-12895?
CyberStrike's AI-powered security agents can automatically detect CVE-2026-12895 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
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