In Spring AI, having access to a shared environment can expose the ONNX model used by the application.
Affected versions: Spring AI: 1.0.0 - 1.0.5 (fixed in 1.0.6), 1.1.0 - 1.1.4 (fixed in 1.1.5)
This medium-severity CVE scores 6.1 under NVD CVSS v3. EPSS exploit probability: 0.1%, top 99% of all CVEs by exploit prediction. GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).
No vendor fix yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for a patch.
In Spring AI, having access to a shared environment can expose the ONNX model used by the application.
Affected versions: Spring AI: 1.0.0 - 1.0.5 (fixed in 1.0.6), 1.1.0 - 1.1.4 (fixed in 1.1.5)
EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).
April 28, 2026
April 29, 2026
| Package | Vulnerable range | Fixed in | Dependents |
|---|---|---|---|
| org.springframework.ai:spring-ai-transformers | 1.1.0, 1.1.1, 1.1.2, 1.1.3, 1.1.4 | 1.1.5 | — |
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.
See which npm, PyPI, Go, and Maven packages are affected by CVE-2026-40979
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