Improper input validation in Masci Banks
CVE-2026-107717
Banks generates meaningful LLM prompts using a simple template language. Prior to 2.5.0, Banks Prompt.chat_messages() attempts to parse every line of rendered template output as ChatMessage JSON. When an application renders untrusted data and passes the returned ChatMessage objects to an LLM provider, attacker-controlled JSON can cross the prompt boundary and become a system, assistant, or tool message because ChatMessage.role accepts arbitrary strings. This can override application instructions, alter the intended prompt structure, or confuse downstream tool and message handling. This issue is fixed in version 2.5.0.
Vulnerability class: Drupalgeddon 2 (CVE-2018-7600)
Published · last modified .
CVSS v3 metric
CVSS v3 base score 6.5 (Medium). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N.
EPSS exploit prediction
No EPSS score from FIRST.org yet. New CVEs usually get one within a few days; no score means no signal yet, not low risk. How EPSS works.
Affected products
- Masci Banks — versions < 2.5.0
Weakness classification (CWE)
References
Frequently asked questions
- What is CVE-2026-107717?
- CVE-2026-107717 is a medium-severity vulnerability in Masci Banks, classified under Improper Input Validation. CVSS score: 6.5/10. Published 2026-10-08.
- How severe is CVE-2026-107717?
- Medium severity. CVSS v3 base score is 6.5 out of 10.