A AegiFlow
MEDIUMCVSS 6.5EPSS 0.3%

CVE-2026-107717

CVE-2026-107717 updated by NVD

Published
2026-10-08
Modified
2026-10-15
EPSS percentile
19%
Sources
github-advisory, nvd

Summary

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.

Affected packages

EcosystemPackageAffected versionsFixed versions
PyPIbanks—2.5.0

Remediation: Upgrade to 2.5.0 or later.

References

Includes data from the GitHub Advisory Database, licensed under CC-BY 4.0.

Includes data from the National Vulnerability Database (NIST). NVD data is in the public domain; this page is not endorsed by NIST.

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EPSS scores provided by the FIRST.org Exploit Prediction Scoring System.