- CVSS
- HIGH · 7.5v3.1CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
- Published
- 2026-05-26
- Weakness
- CWE-1336, CWE-917
- Source
- nvd.nist.gov/vuln/detail/CVE-2026-44209
Description
Banks generates meaningful LLM prompts using a template language that makes sense. Prior to 2.4.2, banks uses jinja2.Environment() (unsandboxed) to render prompt templates. Applications that pass user-supplied strings as the template argument to Prompt() are vulnerable to Server-Side Template Injection (SSTI), which can lead to Remote Code Execution (RCE) on the host system. This vulnerability is fixed in 2.4.2.
References
- https://github.com/masci/banks/pull/74
- https://github.com/masci/banks/security/advisories/GHSA-gphh-9q3h-jgpp
- https://access.redhat.com/security/cve/CVE-2026-44209
- https://bugzilla.redhat.com/show_bug.cgi?id=2481713
- https://github.com/masci/banks/security/advisories/GHSA-gphh-9q3h-jgpp
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-44209.json
How GTK Cyber trains on this
AI security training at GTK Cyber covers the LLM and ML-pipeline vulnerability classes that vulnerabilities like CVE-2026-44209 fall into. Our hands-on courses are taught by Charles Givre and other practitioners who break and defend production AI systems.