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How the Mentioned CVE Works:
The vulnerability (CVE-2025-XXXX) in Gradio arises from its dataframe component, which utilizes `pd.read_csv` to process user-uploaded files. This function accepts compressed files, such as ZIP archives, for data extraction. An attacker can exploit this by uploading a maliciously crafted ZIP bomb—a compressed file designed to decompress into an extremely large amount of data. When Gradio attempts to process this file using pd.read_csv
, the system becomes overwhelmed due to the massive resource consumption, leading to a crash. This results in a Denial of Service (DoS), rendering the application unavailable to legitimate users.
DailyCVE Form:
Platform: Gradio
Version: git 98cbcae
Vulnerability: Zip Bomb DoS
Severity: High
Date: Mar 20, 2025
What Undercode Say:
Exploitation:
1. Crafting a ZIP Bomb:
- Use tools like `dd` or Python’s `zipfile` module to create a compressed file that decompresses into terabytes of data.
Example:
import zipfile with zipfile.ZipFile('bomb.zip', 'w') as zipf: zipf.writestr('large_file.txt', b'0' 109) 1GB file
2. Uploading the Payload:
- The attacker uploads the malicious ZIP file to a Gradio application endpoint that processes CSV files.
3. Triggering the Crash:
- The server attempts to decompress and read the file, exhausting system resources and causing a crash.
Protection:
1. Input Validation:
- Implement file size and content checks before processing.
Example:
MAX_FILE_SIZE = 100 1024 1024 100MB if uploaded_file.size > MAX_FILE_SIZE: raise ValueError("File size exceeds limit.")
2. Resource Limits:
- Use libraries like `resource` in Python to set limits on memory and CPU usage.
Example:
import resource resource.setrlimit(resource.RLIMIT_AS, (1 1024 1024 1024, 1 1024 1024 1024)) 1GB memory limit
3. Sandboxing:
- Process user-uploaded files in a sandboxed environment to isolate potential damage.
4. Library Updates:
- Monitor and update Gradio to the latest version to ensure patches for known vulnerabilities are applied.
Commands:
- Check File Size:
ls -lh bomb.zip
- Monitor System Resources:
top
Code Snippets:
- Safe File Processing:
import pandas as pd import zipfile def safe_read_csv(file_path): with zipfile.ZipFile(file_path) as zipf: if sum(f.file_size for f in zipf.infolist()) > 100 1024 1024: 100MB limit raise ValueError("Compressed file size exceeds limit.") with zipf.open(zipf.namelist()[bash]) as f: return pd.read_csv(f)
By following these steps, developers can mitigate the risk of this vulnerability and protect their Gradio applications from similar attacks.
References:
Reported By: https://github.com/advisories/GHSA-7xmc-vhjp-qv5q
Extra Source Hub:
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