VulnTideExploited vulnerabilities, by vendor. Data as of .
Not in CISA KEVReported exploited: VulnCheck KEV since Published CVSS 9.1 criticalEPSS 0.5% probability of exploitation in 30 days
MLflow

CVE-2026-4035: Environment Variable Resolution Vulnerability in mlflow/mlflow

Is it exploited?

Reported, not confirmed by CISA. VulnCheck KEV lists it as exploited in the wild. CISA has not added it to its Known Exploited Vulnerabilities catalog as of .

VulnCheck KEV lists it since . It cites 1 public report, the first from .

How likely is exploitation in the next 30 days?
0.5%

EPSS score, percentile 44.7 of all scored records. A probability estimated by FIRST, not a report of exploitation.

CISA's SSVC assessment in the CVE record lists exploitation as poc.

How severe?
9.1 Critical

CVSS v3.0 base score, given by the CNA

What should I do?

CISA has set no required action, because the vulnerability is not in KEV.

No patch or vendor advisory is listed in the CVE record. Check MLflow's advisories.

Which versions are affected?

Affected

  • before 3.11.0

Versions by product

Source: CISA KEV 2026.11.10, as of ; VulnCheck KEV, as of ; FIRST EPSS, as of ; CVE List, as of . About the data.

Description

Environment Variable Resolution Vulnerability in mlflow/mlflow

A vulnerability in mlflow/mlflow versions prior to 3.11.0 allows for the resolution of environment variables in AI Gateway secrets, which can be exploited to exfiltrate sensitive server-side environment credentials to an attacker-controlled endpoint. This issue arises because the `api_key` field in gateway secrets can accept `$ENV_VAR` references, which are resolved against the MLflow server's environment during runtime. The resolved secrets are then sent in provider authentication headers to the configured upstream `api_base`. This vulnerability can be exploited by low-privileged authenticated users in basic-auth deployments or by unauthenticated users in default deployments without `basic-auth`. The impact includes potential leakage of sensitive credentials such as cloud artifact credentials (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`), which could lead to artifact poisoning and cross-boundary code execution in downstream environments. The issue is fixed in version 3.11.0.

Source: CVE List, as of . About the data.

What to do

Advisories and patches

No patch, vendor advisory or mitigation is listed in the CVE record. Check MLflow's own security advisories for a fix, and compare your version with the affected versions below.

This summary is based on the CVE record as of . Check the vendor's advisory before you act: affected versions and fixes can change.

Affected products and versions

Versions by product, as listed in the CVE record (1 product)
mlflow mlflow/mlflow
StatusVersions
Affectedbefore 3.11.0

Source: CVE List, as of . About the data.

Weakness

CWE-201
  • CWE-201: Insertion of Sensitive Information Into Sent Data

CWE and CAPEC are maintained by MITRE; the entries are those named in the CVE record.

Timeline

DateEvent
CVE record published
CVE record last updated

References

2

Known exploited MLflow vulnerabilities

  • CVE-2026-64849: MLflow Server-Side Request Forgery Vulnerability (added )