CVE-2026-61536

HIGH
MEDIUM Priority: 0.03 BB Relevance: 55/100
Published: 2026-07-30 Modified: 2026-10-23 First seen: 2026-10-29 Status: active

Attack Surface

Network No Interaction Conf. Impact Integ. Impact

CVSS Vector Breakdown

AV: Network
AC: High
PR: Low
UI: None
S: Unchanged
C: High
I: High
A: High

Description

Banks generates meaningful LLM prompts using a simple template language. In versions prior to 2.4.3, banks parses Tool JSON objects from the rendered body of {% completion %} blocks and later resolves their import_path field through importlib.import_module(...) + getattr(...) to obtain the callable that handles a tool call. There is no allowlist or sanitization on import_path, so any importable Python attribute (e.g. os.system, subprocess.getoutput) can be selected. When the LLM emits a tool_calls entry whose function.name matches the attacker-supplied tool name, the resolved callable is invoked with kwargs decoded from tool_call.function.arguments, yielding arbitrary code execution in the banks-hosting process. This is distinct from GHSA-gphh-9q3h-jgpp / CVE-2026-44209. That advisory was fixed in 2.4.2 by switching src/banks/env.py from Environment to SandboxedEnvironment. The fix does not touch src/banks/extensions/completion.py, and the unsafe import + getattr chain still executes on 2.4.2. The malicious Tool JSON is plain text in the rendered template body — it requires no Jinja attribute access, so the sandbox is irrelevant. This issue has been fixed in version 2.4.3.

Weakness Classification (2)

Bug Bounty Relevance

55 / 100
✓ Network accessible
✓ No user interaction

CVSS Score

7.5 / 10.0 v3.1
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H

EPSS — Exploitation Probability

0.38%
Raw Score 0.003770
Percentile 31.7%
Date 2026-10-29

EPSS Trend

2026-10-29
0.00377
2026-10-28
0.00377

Intelligence Sources

nvd ref →