CVE Catalog

CVE-2026-40610

MediumCVSS 5.5
Published: Updated: Translated: NVD NIST

Exploitation Probability (EPSS)

Low risk
0.28%

21th percentile - higher than 21% of all known CVEs

Summary

In BentoML versions 1.4.38 and prior, the build packaging workflow follows attacker-controlled symlinks inside the build context and copies the referenced file contents into the generated Bento artifact. An attacker can place a symlink pointing to a sensitive local file, which gets packaged into the Bento.

Risk Assessment

An attacker can exfiltrate sensitive files from the build host (e.g., credentials, SSH keys, API tokens) into the Bento artifact, which may be further exported, uploaded, or containerized, leading to data leakage.

Recommendation

Update BentoML to version 1.4.39 or later, which includes the fix.

Other vulnerabilities in BentoML

Original NVD description (English source)

BentoML is a Python library for building online serving systems optimized for AI apps and model inference. In versions 1.4.38 and prior, the build packaging workflow follows attacker-controlled symlinks inside the build context and copies the referenced file contents into the generated Bento artifact. If a victim builds an untrusted repository or other attacker-supplied build context, the attacker can place a symlink such as loot.txt -> /tmp/outside-marker.txt or a link to a more sensitive local file. When bentoml build runs, BentoML dereferences the symlink and packages the target file contents into the Bento. The leaked file can then propagate further through export, push, or containerization workflows. An attacker can exfiltrate local files from the build host into the Bento artifact, exposing secrets such as cloud credentials, SSH keys, API tokens, environment files, or other sensitive local configurations. Because Bento artifacts are commonly exported, uploaded, stored, or containerized after build, the leaked file contents can spread beyond the original build machine. This issue has been fixed in version 1.4.39.

Vulnerability data from NVD (NIST) · CISA KEV · EPSS