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CVE-2026-44345
8.8 HIGH
- CVSS version (CVSS): 3.1
- Attack Vector (AV): Network (N)
- Attack Complexity (AC): Low (L)
- Privileges Required (PR): None (N)
- User Interaction (UI): Required (R)
- Scope (S): Unchanged (U)
- Confidentiality (C): High (H)
- Integrity (I): High (H)
- Availability (A): High (H)
- Modified Attack Vector (MAV): Network (N)
- Modified Attack Complexity (MAC): Low (L)
- Modified Privileges Required (MPR): None (N)
- Modified User Interaction (MUI): Required (R)
- Modified Confidentiality (MC): High (H)
- Modified Scope (MS): Unchanged (U)
- Modified Integrity (MI): High (H)
- Modified Availability (MA): High (H)
Activity log
- Created suggestion
BentoML: Dockerfile command injection via docker.base_image
BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.39, src/bentoml/_internal/container/frontend/dockerfile/templates/base_v2.j2 interpolates docker.base_image raw with no escaping, newline filtering, or validation. A malicious bento.yaml with a multi-line docker.base_image value smuggles arbitrary Dockerfile directives into the generated Dockerfile, and bentoml containerize then runs docker build which executes the injected RUN directives on the victim host. This vulnerability is fixed in 1.4.39.
References
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https://github.com/bentoml/BentoML/security/advisories/GHSA-78f9-r8mh-4xm2 exploitx_refsource_CONFIRM
Affected products
BentoML
- ==< 1.4.39
Matching in nixpkgs
pkgs.python312Packages.bentoml
Build Production-Grade AI Applications
Package maintainers
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@natsukium Tomoya Otabi <nixpkgs@natsukium.com>
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@happysalada Raphael Megzari <raphael@megzari.com>