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OpenAdvisories
Critical · 10.0 Scanner template Public exploit CVE-2023-43654 EUVD-2023-2697GHSA-8fxr-qfr9-p34wPYSEC-2026-553

TorchServe Server-Side Request Forgery

Published Sep 28, 2023 · Updated Feb 13, 2025 · Assigned by GitHub_M

Description

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.

Affected products

VendorProductAffectedFixed
pytorch serve >= 0.1.0, < 0.8.2 —

Public exploits

Exploit or proof-of-concept code for this vulnerability is publicly available, which lowers the bar for attackers. Treat it as a reason to patch sooner.

Third-party code, not reviewed by us. Public PoCs are sometimes fake or contain malware. Read the code first and run it only in an isolated lab, against systems you are authorised to test.

Metasploit 1 module

GitHub 2 repositories

Sources: PoC-in-GitHub, Metasploit Framework, Exploit-DB — updated daily. Only links are listed; no exploit code is hosted here.

Automated scanner template

A ready-made Nuclei template detects this vulnerability automatically. Vulnerabilities with public scanner templates are typically probed across the internet soon after the template appears — exposed systems should be patched first.

Source: projectdiscovery/nuclei-templates (MIT) — updated daily. Only links are listed.

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI torchserve >= 0.1.0, < 0.8.2 0.8.2 GHSA-8fxr-qfr9-p34w

Advisories 1

References