CVE-2026-104103 — Ludwig is a low-code framework for building custom LLMs, neural networks, and other AI…¶
Key facts
CVE-2026-104103 is a High (8.1) vulnerability: Ludwig is a low-code framework for building custom LLMs, neural networks, and other AI…. This entry ships a detection-only PoC and a Docker test lab.
| CVE | CVE-2026-104103 |
| Severity | High (8.1) |
| Detection / prevention | — |
| PoC | poc.py |
| Source | 2026/CVE-2026-104103/ |
Details¶
English | 한국어
Description¶
Ludwig is a low-code framework for building custom LLMs, neural networks, and other AI models. Prior to 0.17.8, ludwig.datasets.archives.extract_archive() validated tar member names before calling TarFile.extractall() but did not validate symlink members or hard-link members. A crafted archive could create a link that escaped the extraction directory and then write a later member through that link, placing attacker-controlled content at an arbitrary filesystem path with the extracting process's privileges. The same containment check used os.path.commonprefix, so a sibling path sharing the destination's character prefix could also pass. The dataset-loading path can download and extract configured archive URLs, but exploitation requires a user to process an archive from a source controlled or compromised by the attacker on supported Python 3.12 and 3.13 runtimes. Python 3.14 is not affected because its default tar data filter rejects escaping links. This issue is fixed in version 0.17.8.
Vulnerability Details¶
| Property | Value |
|---|---|
| CVE ID | CVE-2026-104103 |
| Type | RCE |
| CVSS Score | 8.1 |
Proof of Concept¶
Download¶
# Download PoC script
curl -O https://raw.githubusercontent.com/fankh/vulnerability-poc/main/2026/CVE-2026-104103/poc.py
Usage¶
# Run PoC against target
python3 poc.py --target <TARGET_URL>
# With authentication
python3 poc.py --target <TARGET_URL> --username <USER> --password <PASS>
⚠️ Warning: This PoC is for authorized security testing only. It uses detection-only techniques and does not exploit or damage target systems.
Test Lab¶
This repository includes a Docker-based test environment with both vulnerable and patched applications.
Quick Start¶
# Clone and navigate to CVE directory
cd CVE-2026-104103
# Start both applications
docker-compose up -d
# Run tests
./run-tests.sh # Linux/Mac
./run-tests.ps1 # Windows PowerShell
Application Endpoints¶
| Application | URL | Status |
|---|---|---|
| Vulnerable App | http://localhost:8080 | Shows vulnerability |
| Patched App | http://localhost:8081 | Demonstrates fix |
Directory Structure¶
├── README.md # English documentation
├── README_KO.md # Korean documentation
├── poc.py # PoC detection script
├── docker-compose.yml # Container orchestration
├── run-tests.sh # Linux/Mac test runner
├── run-tests.ps1 # Windows test runner
├── vulnerable-app/ # Vulnerable version
│ ├── app.py
│ ├── Dockerfile
│ └── requirements.txt
└── patched-app/ # Fixed version
├── app.py
├── Dockerfile
└── requirements.txt
References¶
- https://github.com/ludwig-ai/ludwig/commit/7f534f31e725cc5362c8f6f85537488443de279a
- https://github.com/ludwig-ai/ludwig/releases/tag/v0.17.8
- https://github.com/ludwig-ai/ludwig/security/advisories/GHSA-qvrm-3x4c-rcxf
Generated by PoC Generator on 2026-10-15T13:53:03.917394422
Frequently asked questions¶
What is CVE-2026-104103?¶
CVE-2026-104103 is a High (8.1) vulnerability: Ludwig is a low-code framework for building custom LLMs, neural networks, and other AI…. This entry ships a detection-only PoC and a Docker test lab.
How do I detect CVE-2026-104103?¶
Run the detection-only PoC included with this entry against your Docker test lab to confirm whether a target is affected; pair it with your own IDS logging.
How do I block or mitigate CVE-2026-104103?¶
Upgrade to a fixed version per the vendor advisory; the NVD record lists the affected versions. Use the included PoC to verify your remediation.
For authorized security testing and research only. See the full source and NVD record.