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GHSA-969w-gqqr-g6j3 BIT-mlflow-2025-1473 CVE-2025-1473 PYSEC-2026-1646

MLflow Cross-Site Request Forgery (CSRF) vulnerability

High PyPI
Severity
5.4 / 10
High · CVSS 3.1
Exploit chance (EPSS)
0.22%
Chance of exploitation in the next 30 days. Higher than 12.67% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-352 Cross-Site Request Forgery (CSRF)
Fix
2.20.3
Upgrade mlflow to this version or later

Description

A Cross-Site Request Forgery (CSRF) vulnerability exists in the Signup feature of mlflow/mlflow versions 2.17.0 to 2.20.1. This vulnerability allows an attacker to create a new account, which may be used to perform unauthorized actions on behalf of the malicious user.

Affected versions

PyPI

PackageVulnerableFixed in
mlflow
>= 2.17.0, < 2.20.3
2.20.3

How to fix

Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.

mlflow PyPI → 2.20.3

pip
pip install --upgrade "mlflow>=2.20.3"
poetry
poetry add "mlflow>=2.20.3"
uv
uv add "mlflow>=2.20.3"

Severity breakdown

CVSS 3.1 5.4

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
Required
Scope
Unchanged
Confidentiality
Low
Integrity
Low
Availability
None

Weakness

CWE-352: Cross-Site Request Forgery (CSRF)

The web application does not, or cannot, sufficiently verify whether a request was intentionally provided by the user who sent the request, which could have originated from an unauthorized actor.

How to prevent it
  • Architecture and Design: Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid [REF-1482]. For example, use anti-CSRF packages such as the OWASP CSRFGuard. [REF-330] Another example is the ESAPI Session Management control, which includes a component for CSRF. [REF-45]
  • Implementation: Ensure that the application is free of cross-site scripting issues (CWE-79), because most CSRF defenses can be bypassed using attacker-controlled script.
  • Architecture and Design: Generate a unique nonce for each form, place the nonce into the form, and verify the nonce upon receipt of the form. Be sure that the nonce is not predictable (CWE-330). [REF-332]
  • Architecture and Design: Identify especially dangerous operations. When the user performs a dangerous operation, send a separate confirmation request to ensure that the user intended to perform that operation.
  • Architecture and Design: Use the "double-submitted cookie" method as described by Felten and Zeller: When a user visits a site, the site should generate a pseudorandom value and set it as a cookie on the user's machine. The site should require every form submission to include this value as a form value and also as a cookie value. When a POST request is sent to the site, the request should only be considered valid if the form value and the cookie value are the same. Because of the same-origin policy, an attacker cannot read or modify the value stored in the cookie. To successfully submit a form on behalf of the user, the attacker would have to correctly guess the pseudorandom value. If the pseudorandom value is cryptographically strong, this will be prohibitively difficult. This technique requires Javascript, so it may not work for browsers that have Javascript disabled. [REF-331]
  • Architecture and Design: Do not use the GET method for any request that triggers a state change.
  • Implementation: Check the HTTP Referer header to see if the request originated from an expected page. This could break legitimate functionality, because users or proxies may have disabled sending the Referer for privacy reasons.

References

Timeline

  1. Published
  2. Last updated by the source
  3. Latest EPSS score
AdvisorySeverityWhy it's related
GHSA-7gwp-5pfp-969j
MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding)
Critical Known exploited Also affects mlflow
GHSA-26p8-2jq9-3vq9
MLflow vulnerable to remote code execution on unauthenticated servers via third-party scorer deserialization importing caller-placed artifact modules
Critical Also affects mlflow
GHSA-j7qq-vr8c-xvw3
MLflow CrewAI autologging records LLM provider API keys in logged trace spans
Medium Also affects mlflow
GHSA-m65p-9j7q-6w33
MLflow vulnerable to arbitrary file read on unauthenticated servers via prompt model version source
High Also affects mlflow
GHSA-2wqp-q3c6-ccj5
MLflow: SSRF on unauthenticated MLflow servers via third-party scorer kwargs in the scorer invoke, register, and GenAI evaluate endpoints
Medium Also affects mlflow
GHSA-wqmh-qccw-pqwf
MLflow FileStore trace IDs allow path traversal and arbitrary file writes
High Also affects mlflow
GHSA-gqvg-gmmx-x4hm
MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False safety control bypassed by mlflow.statsmodels flavor — RCE via crafted model artifact
High Also affects mlflow
GHSA-h7x2-h6g9-p789
MLflow AI Gateway permits SSRF through an unvalidated api_base
High Also affects mlflow
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