CVE-2025-62515
Python vulnerability analysis and mitigation

Overview

CVE-2025-62515 affects pyquokka, a framework for making data lakes work for time series. The vulnerability was discovered and disclosed on October 17, 2025, impacting versions 0.3.1 and prior. The issue exists in the FlightServer class where untrusted data is deserialized using pickle.loads() without proper validation (GitHub Advisory).

Technical details

The vulnerability is located in pyquokka/flight.py at line 283, where the FlightServer class directly uses pickle.loads() to deserialize action bodies received from Flight clients without any sanitization or validation in the doaction() method. Additional vulnerability points exist in the cachegarbagecollect, doput, and do_get functions. The issue is particularly severe when FlightServer is configured to listen on 0.0.0.0. The vulnerability has been assigned a CVSS v3.1 score of 9.8 (Critical) with the vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H, indicating network accessibility with no required privileges or user interaction (GitHub Advisory, NVD).

Impact

The vulnerability enables remote code execution on the victim's machine over the network. When FlightServer is configured with network binding (especially 0.0.0.0), attackers can gain arbitrary code execution capabilities by connecting to the Flight endpoint and sending crafted pickle payloads through the set_configs action. This can lead to complete system compromise, data exfiltration, lateral movement within the network, denial of service attacks, and installation of persistent backdoors (GitHub Advisory).

Mitigation and workarounds

Several mitigation strategies are recommended: 1) Replace pickle.loads() with safer alternatives such as JSON serialization for simple data structures or Protocol Buffers/MessagePack for complex data. 2) If pickle must be used, implement a custom Unpickler with a restricted find_class() method that only allows whitelisted classes. 3) For internal services, bind to localhost (127.0.0.1) instead of 0.0.0.0. 4) Implement proper authentication and authorization mechanisms. 5) Display clear security warnings when starting the service on public interfaces (GitHub Advisory).

Additional resources


SourceThis report was generated using AI

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