---
title: "CVE-2024-35198: TorchServe vulnerable to bypass of allowed_urls configuration"
url: https://erroneo.us/security/cve/CVE-2024-35198/
description: "CVE-2024-35198 (torchserve (PyPI)): TorchServe is a flexible and easy-to-use tool for serving and scaling PyTorch models in production. TorchServe 's check…"
type: vulnerability-record
section: "Security Digest"
date_published: 2024-07-18
date_modified: 2024-08-07
publisher: erroneo.us
author: erroneo.us Security Desk
cve: "CVE-2024-35198"
kev: false
cvss: 9.3
epss: 0.00799
license: All rights reserved. Quote with attribution and a link.
---

# CVE-2024-35198: TorchServe vulnerable to bypass of allowed_urls configuration

**Signal:** Critical and remotely reachable. No known exploitation yet, but it is network-reachable without credentials. (Computed from CISA KEV, EPSS and CVSS; not an editorial verdict.)

## Should you act?

- No confirmed exploitation. It is not in CISA’s KEV catalog and CISA’s SSVC assessment records no known exploitation. That can change quickly after a public write-up; re-check if you are affected.
- EPSS 0.8% , percentile 56: FIRST’s model estimates a 0.8% chance of exploitation activity in the next 30 days, higher than 56% of all scored CVEs (moderate). EPSS is a probability, not a verdict.
- Remotely reachable with no login and no user interaction. If the vulnerable service is exposed to the internet, prioritize it.
- Only applies if your dependency tree includes torchserve (PyPI) < 0.11.0, fixed in 0.11.0 . Check your lockfile, including transitive dependencies.

## What it is

TorchServe is a flexible and easy-to-use tool for serving and scaling PyTorch models in production. TorchServe 's check on allowedurls configuration can be by-passed if the URL contains characters such as ".." but it does not prevent the model from being downloaded into the model store. Once a file is downloaded, it can be referenced without providing a URL the second time, which effectively bypasses the allowedurls security check. Customers using PyTorch inference Deep Learning Containers (DLC) through Amazon SageMaker and EKS are not affected. This issue in TorchServe has been fixed by validating the URL without characters such as ".." before downloading see PR #3082. TorchServe release 0.11.0 includes the fix to address this vulnerability. Users are advised to upgrade. There are no known workarounds for this vulnerability.

## Affected packages

- PyPI `torchserve` < 0.11.0 → fixed: 0.11.0

## Affected products (CVE record)

- pytorch serve: >= 0.4.2, < 0.11.0

## Severity

- GitHub_M CVSS 3.1: 9.8 `CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H`
- GitHub CVSS 4.0: 9.3 `CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N`

## Exploitation

- CISA KEV: not listed (no confirmed in-the-wild exploitation known to CISA).
- CISA SSVC assessment: exploitation none , automatable no , technical impact partial .
- FIRST EPSS (model of 2026-10-21): 0.80% probability of exploitation activity in the next 30 days; percentile 56.

## Sources

- [GitHub Advisory GHSA-wxcx-gg9c-fwp2](https://github.com/advisories/GHSA-wxcx-gg9c-fwp2)
- [CVE.org record CVE-2024-35198](https://www.cve.org/CVERecord?id=CVE-2024-35198)
- [NVD entry CVE-2024-35198](https://nvd.nist.gov/vuln/detail/CVE-2024-35198)
- [github.com](https://github.com/pytorch/serve/security/advisories/GHSA-wxcx-gg9c-fwp2)
- [github.com](https://github.com/pytorch/serve/pull/3082)
- [github.com](https://github.com/pytorch/serve/releases/tag/v0.11.0)
- [github.com](https://github.com/pytorch/serve/commit/cdba0fd449c2fd23dcf37c54c0784035541d5114)

---
Source page: https://erroneo.us/security/cve/CVE-2024-35198/ · Security Digest: https://erroneo.us/security/ · More: https://erroneo.us/llms.txt