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CVE-2023-43654

Status Candidate

Overview

TorchServe is a tool for serving and scaling PyTorch models in production. TorchServe default configuration lacks proper input validation, enabling third parties to invoke remote HTTP download requests and write files to the disk. This issue could be taken advantage of to compromise the integrity of the system and sensitive data. This issue is present in versions 0.1.0 to 0.8.1. A user is able to load the model of their choice from any URL that they would like to use. The user of TorchServe is responsible for configuring both the allowed_urls and specifying the model URL to be used. A pull request to warn the user when the default value for allowed_urls is used has been merged in PR #2534. TorchServe release 0.8.2 includes this change. Users are advised to upgrade. There are no known workarounds for this issue.

Related Files

PyTorch Model Server Registration / Deserialization Remote Code Execution
Posted Oct 13, 2023
Authored by Spencer McIntyre, Guy Kaplan, Swapneil Kumar Dash, Idan Levcovich, Gal Elbaz | Site metasploit.com

The PyTorch model server contains multiple vulnerabilities that can be chained together to permit an unauthenticated remote attacker arbitrary Java code execution. The first vulnerability is that the management interface is bound to all IP addresses and not just the loop back interface as the documentation suggests. The second vulnerability (CVE-2023-43654) allows attackers with access to the management interface to register MAR model files from arbitrary servers. The third vulnerability is that when an MAR file is loaded, it can contain a YAML configuration file that when deserialized by snakeyaml, can lead to loading an arbitrary Java class.

tags | exploit, java, remote, arbitrary, vulnerability, code execution
advisories | CVE-2022-1471, CVE-2023-43654
SHA-256 | 8f8eaa5fb149254fafc287442e21135c92b2e8d534cc824ab39c2e34d6b3afb6
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