---
title: "CVE-2024-3573: mlflow vulnerable to Path Traversal"
url: https://erroneo.us/security/cve/CVE-2024-3573/
description: "CVE-2024-3573 (mlflow (PyPI)): mlflow/mlflow is vulnerable to Local File Inclusion (LFI) due to improper parsing of URIs, allowing attackers to bypass…"
type: vulnerability-record
section: "Security Digest"
date_published: 2024-04-16
date_modified: 2025-04-08
publisher: erroneo.us
author: erroneo.us Security Desk
cve: "CVE-2024-3573"
kev: false
cvss: 9.3
epss: 0.00733
license: All rights reserved. Quote with attribution and a link.
---

# CVE-2024-3573: mlflow vulnerable to Path Traversal

**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?

- Not in CISA KEV , but CISA’s SSVC assessment records a public proof-of-concept, so attack code exists.
- EPSS 0.7% , percentile 54: FIRST’s model estimates a 0.7% chance of exploitation activity in the next 30 days, higher than 54% 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 mlflow (PyPI) < 2.10.0, fixed in 2.10.0 . Check your lockfile, including transitive dependencies.

## What it is

mlflow/mlflow is vulnerable to Local File Inclusion (LFI) due to improper parsing of URIs, allowing attackers to bypass checks and read arbitrary files on the system. The issue arises from the 'islocaluri' function's failure to properly handle URIs with empty or 'file' schemes, leading to the misclassification of URIs as non-local. Attackers can exploit this by crafting malicious model versions with specially crafted 'source' parameters, enabling the reading of sensitive files within at least two directory levels from the server's root.

## Affected packages

- PyPI `mlflow` < 2.10.0 → fixed: 2.10.0

## Affected products (CVE record)

- mlflow mlflow/mlflow: unspecified < 2.10.0

## Severity

- @huntr_ai CVSS 3.0: 9.3 `CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N`
- GitHub CVSS 3.1: 9.3 `CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N`

## Exploitation

- CISA KEV: not listed (no confirmed in-the-wild exploitation known to CISA).
- CISA SSVC assessment: exploitation poc , automatable yes , technical impact partial .
- FIRST EPSS (model of 2026-10-21): 0.73% probability of exploitation activity in the next 30 days; percentile 54.

## Sources

- [GitHub Advisory GHSA-hq88-wg7q-gp4g](https://github.com/advisories/GHSA-hq88-wg7q-gp4g)
- [CVE.org record CVE-2024-3573](https://www.cve.org/CVERecord?id=CVE-2024-3573)
- [NVD entry CVE-2024-3573](https://nvd.nist.gov/vuln/detail/CVE-2024-3573)
- [huntr.com](https://huntr.com/bounties/8ea058a7-4ef8-4baf-9198-bc0147fc543c)
- [github.com](https://github.com/mlflow/mlflow/commit/438a450714a3ca06285eeea34bdc6cf79d7f6cbc)
- [github.com](https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-243.yaml)

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Source page: https://erroneo.us/security/cve/CVE-2024-3573/ · Security Digest: https://erroneo.us/security/ · More: https://erroneo.us/llms.txt