---
title: "CVE-2023-6974: MLflow Server-Side Request Forgery (SSRF)"
url: https://erroneo.us/security/cve/CVE-2023-6974/
description: "CVE-2023-6974 (mlflow (PyPI)): A malicious user could use this issue to access internal HTTP(s) servers and in the worst case (ie: aws instance) it could be…"
type: vulnerability-record
section: "Security Digest"
date_published: 2023-12-20
date_modified: 2024-08-02
publisher: erroneo.us
author: erroneo.us Security Desk
cve: "CVE-2023-6974"
kev: false
cvss: 9.8
epss: 0.01519
license: All rights reserved. Quote with attribution and a link.
---

# CVE-2023-6974: MLflow Server-Side Request Forgery (SSRF)

**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. That can change quickly after a public write-up; re-check if you are affected.
- EPSS 1.5% , percentile 74: FIRST’s model estimates a 1.5% chance of exploitation activity in the next 30 days, higher than 74% 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) < 2.9.2, fixed in 2.9.2 . Check your lockfile, including transitive dependencies.

## What it is

A malicious user could use this issue to access internal HTTP(s) servers and in the worst case (ie: aws instance) it could be abuse to get a remote code execution on the victim machine.

## Affected packages

- PyPI `mlflow` < 2.9.2 → fixed: 2.9.2

## Affected products (CVE record)

- mlflow mlflow/mlflow: unspecified < 2.9.2

## Severity

- @huntr_ai CVSS 3.0: 8.6 `CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N`
- GitHub CVSS 3.1: 9.8 `CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H`

## Exploitation

- CISA KEV: not listed (no confirmed in-the-wild exploitation known to CISA).
- FIRST EPSS (model of 2026-10-21): 1.52% probability of exploitation activity in the next 30 days; percentile 74.

## Sources

- [GitHub Advisory GHSA-59v3-898r-qwhj](https://github.com/advisories/GHSA-59v3-898r-qwhj)
- [CVE.org record CVE-2023-6974](https://www.cve.org/CVERecord?id=CVE-2023-6974)
- [NVD entry CVE-2023-6974](https://nvd.nist.gov/vuln/detail/CVE-2023-6974)
- [huntr.com](https://huntr.com/bounties/438b0524-da0e-4d08-976a-6f270c688393)
- [github.com](https://github.com/mlflow/mlflow/commit/8174250f83352a04c2d42079f414759060458555)

---
Source page: https://erroneo.us/security/cve/CVE-2023-6974/ · Security Digest: https://erroneo.us/security/ · More: https://erroneo.us/llms.txt