Raw vector
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:HSummary
CVE-2026-35050 is a critical-severity Path Traversal (CWE-22) vulnerability in Oobabooga Textgen. Its CVSS base score is 9.1 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 36th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as LLM Application Platforms; in the Supply Chain and Deployment risk domain.
The strongest mitigations our analysis identified map to AC-3 (Access Enforcement) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2026-35050 is a path traversal vulnerability (CWE-22) affecting text-generation-webui, an open-source web interface for running Large Language Models, in versions prior to 4.1.1. The issue allows users to save extension settings in Python (.py) format directly into the application root directory, enabling the overwriting of critical Python files such as download-model.py. This flaw has a CVSS v3.1 base score of 9.1 (AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H), indicating critical severity due to its potential for high-impact remote exploitation.
An attacker with high privileges (PR:H), such as an authenticated user, can exploit this vulnerability over the network with low complexity and no user interaction required. By overwriting a Python file like download-model.py and then triggering its execution via the "Model" menu during a model download request, the attacker achieves arbitrary code execution with scoped impact, potentially compromising confidentiality, integrity, and availability at a high level.
The vulnerability is fixed in text-generation-webui version 4.1.1. Security practitioners should consult the GitHub security advisory at https://github.com/oobabooga/text-generation-webui/security/advisories/GHSA-jg96-p5p6-q3cv for detailed patch information and mitigation guidance.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-19408
Vulnerability Data
text-generation-webui is an open-source web interface for running Large Language Models. Prior to 4.1.1, users can save extention settings in "py" format and in the app root directory. This allows to overwrite python files, for instance the "download-model.py" file could…
more
be overwritten. Then, this python file can be triggered to get executed from "Model" menu when requesting to download a new model. This vulnerability is fixed in 4.1.1.
- CWE(s)
AI Security AnalysisAI
- AI Category
- LLM Application Platforms
- Risk Domain
- Supply Chain and Deployment
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: text-generation-webui
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V5.3.2
Mitigating Controls (NIST 800-53 r5) AI
Enforces the intended directory access authorizations that path traversal would otherwise bypass.
Input validation directly neutralizes special path elements before pathname construction occurs.
Least privilege reduces the impact of any unauthorized file access obtained via traversal.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Patching/maintenance can remediate known path-traversal flaws in deployed software (partial prevention of exploitability) but does nothing to stop the coding defect from being introduced in the first place.
PR.AA-05 defines and reviews access policies but does not address code-level pathname neutralization, so neither direction prevents CWE-22.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing in development catches path traversal via static/dynamic analysis.
Secure SDLC mandates input validation and path sanitization that directly prevent path traversal.
Application security requirements include rules for safe file handling and canonicalization.
Secure architecture principles require least-privilege file access and directory isolation.
Secure coding standards explicitly forbid unsafe path construction and mandate safe APIs.
Information access restriction limits which files an application may read or write.