GHSA-mq64-7vwv-8j4j · Severity: high — Improper neutralization of special elements in output used by a downstream component ('injection'...
Improper neutralization of special elements in output used by a downstream component ('injection') in Azure Machine Learning allows an unauthorized attacker to perform spoofing over a network.
Conclusion & alert: CVE-2026-33833 is rated Low Risk (38.3/100): CVSS High severity, with low exploitation likelihood (EPSS 0.05%). Mandatory action: Monitor for updates and reassess as exploit intelligence or EPSS changes.
Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.
EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).
| # | Date | Old EPSS score | New EPSS score | Delta (New - Old) |
|---|---|---|---|---|
| 1 | 2026-05-18 | 0.05% | 0.05% | +0.00% |
| 2 | 2026-05-13 | — | 0.05% | — |
Full EPSS history (2 records total)
CVSS metrics for this CVE.
| Base score | Version | Severity | Vector | Exploitability | Impact | Score source |
|---|---|---|---|---|---|---|
| 8.2 | 3.1 | HIGH |
|
2.8 | 4.7 | [email protected] |
GHSA-mq64-7vwv-8j4j · Severity: high — Improper neutralization of special elements in output used by a downstream component ('injection'...
| Vendor | Product | Version | Raw CPE |
|---|---|---|---|
| No affected products in dataset. | |||