CVE-2026-4035 Details
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.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2026-4035
EPSS (Exploit Prediction Scoring System): EPSS predicts the likelihood that a vulnerability will be exploited in the wild. A higher percentage means a greater chance of an exploit occurring. The EPSS model produces a probability score between 0 and 1 (0 and 100%).
0.38 Probability of exploitation activity being observed over the next 30 days (29th percentile)
CVSS score for CVE-2026-4035
CVSS (Common Vulnerability Scoring System): An open framework owned and managed by FIRST.Org, Inc. that assigns a numerical score from 0 to 10 to software vulnerabilities to indicate their severity.
7.7 High
Products affected by CVE-2026-4035

CVE-2026-4035 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 15 53.57%
RU 3 10.71%
DE 2 7.14%
KR 2 7.14%
FR 1 3.57%
GR 1 3.57%
ID 1 3.57%
IR 1 3.57%
IS 1 3.57%
NL 1 3.57%

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CVE-2026-4035 Industry Footprint

Top 10 Identified Industries

*Service provider organizations (typically Technology and Telecommunications) are disproportionally represented in the results given their upstream ownership of end-user infrastructure. See our FAQs.

Industry* Observations Percentage
Technology 22 88.00%
Telecommunications 2 8.00%
Education 1 4.00%

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