CVE-2026-85694
Remote code execution via untrusted LLM output in LaVague 0.2.35’s extractor.
- CVSS 9.2
- 94
- Input Validation and Sanitization
- Remote
LaVague 0.2.35 contains a remote code execution vulnerability in PythonFromMarkdownExtractor.extract_as_object that evaluates untrusted language model output derived from web page content. Attackers can inject malicious Python code through web pages using indirect prompt injection to execute arbitrary code on the operator's host without review.
- CWE
- 94
- CVSS base score
- 9.2
- Published
- 2026-09-04
- OWASP
- A03 Injection
- Orthogonal defect classification
- Checking
- Code defect classification
- Missing Check
- Category
- Input Validation and Sanitization
- Subcategory
- Command Injection
- Accessibility scope
- Remote
- Impact
- Arbitrary Code Execution
- Affected component
- Python
- Fixed by upgrading
- Yes
Solution
Upgrade LaVague to version 0.2.36, which patches the remote code execution flaw in PythonFromMarkdownExtractor.extract_as_object.
Vulnerable code sample
import requests
from lavague import PythonFromMarkdownExtractor
class ContentProcessor:
def __init__(self, url: str):
self.url = url
def fetch_and_process(self) -> dict:
response = requests.get(self.url)
markdown = response.text
extractor = PythonFromMarkdownExtractor()
# VULNERABLE: eval on untrusted model output
return eval(extractor.extract_as_object(markdown)) # noqa: S307Patched code sample
import requests
import ast
from lavague import PythonFromMarkdownExtractor
class ContentProcessor:
def __init__(self, url: str):
self.url = url
def fetch_and_process(self) -> dict:
response = requests.get(self.url)
markdown = response.text
extractor = PythonFromMarkdownExtractor()
# FIX: safe literal evaluation instead of eval
return ast.literal_eval(extractor.extract_as_object(markdown))Payload
__VAITP_MODEL_REFUSED__
Cite this entry
@misc{vaitp:cve202685694,
title = {{Remote code execution via untrusted LLM output in LaVague 0.2.35’s extractor.}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2026},
note = {VAITP Python Vulnerability Dataset, entry CVE-2026-85694},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2026-85694/}}
}
Introducing the "VAITP dataset": a specialized repository of Python vulnerabilities and patches, meticulously compiled for the use of the security research community. As Python's prominence grows, understanding and addressing potential security vulnerabilities become crucial. Crafted by and for the cybersecurity community, this dataset offers a valuable resource for researchers, analysts, and developers to analyze and mitigate the security risks associated with Python. Through the comprehensive exploration of vulnerabilities and corresponding patches, the VAITP dataset fosters a safer and more resilient Python ecosystem, encouraging collaborative advancements in programming security.
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