| Affected_by_vulnerabilities |
| 0 |
| url |
VCID-1jjt-ysuf-jbfw |
| vulnerability_id |
VCID-1jjt-ysuf-jbfw |
| summary |
BentoML version v1.3.4post1 is vulnerable to a Denial of Service (DoS) attack. The vulnerability can be exploited by appending characters, such as dashes (-), to the end of a multipart boundary in an HTTP request. This causes the server to continuously process each character, leading to excessive resource consumption and rendering the service unavailable. The issue is unauthenticated and does not require any user interaction, impacting all users of the service. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2024-9056, GHSA-hw8j-hw49-752c
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-1jjt-ysuf-jbfw |
|
| 1 |
| url |
VCID-4tyx-mb9b-k3ea |
| vulnerability_id |
VCID-4tyx-mb9b-k3ea |
| summary |
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. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2026-40610, GHSA-mcfx-4vc6-qgxv
|
| risk_score |
3.1 |
| exploitability |
0.5 |
| weighted_severity |
6.2 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-4tyx-mb9b-k3ea |
|
| 2 |
| url |
VCID-6uaw-mcgx-3bh5 |
| vulnerability_id |
VCID-6uaw-mcgx-3bh5 |
| summary |
BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to version 1.4.34, BentoML's `bentofile.yaml` configuration allows path traversal attacks through multiple file path fields (`description`, `docker.setup_script`, `docker.dockerfile_template`, `conda.environment_yml`). An attacker can craft a malicious bentofile that, when built by a victim, exfiltrates arbitrary files from the filesystem into the bento archive. This enables supply chain attacks where sensitive files (SSH keys, credentials, environment variables) are silently embedded in bentos and exposed when pushed to registries or deployed. Version 1.4.34 contains a patch for the issue. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2026-24123, GHSA-6r62-w2q3-48hf
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-6uaw-mcgx-3bh5 |
|
| 3 |
| url |
VCID-c9sp-e2mb-mbdw |
| vulnerability_id |
VCID-c9sp-e2mb-mbdw |
| summary |
BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.38, the Dockerfile generation function generate_containerfile() in src/bentoml/_internal/container/generate.py uses an unsandboxed jinja2.Environment with the jinja2.ext.do extension to render user-provided dockerfile_template files. When a victim imports a malicious bento archive and runs bentoml containerize, attacker-controlled Jinja2 template code executes arbitrary Python directly on the host machine, bypassing all container isolation. This vulnerability is fixed in 1.4.38. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2026-35044, GHSA-v959-cwq9-7hr6, PYSEC-2026-159
|
| risk_score |
4.3 |
| exploitability |
0.5 |
| weighted_severity |
8.6 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-c9sp-e2mb-mbdw |
|
| 4 |
| url |
VCID-ds7n-p8z7-rbcd |
| vulnerability_id |
VCID-ds7n-p8z7-rbcd |
| summary |
BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.38, the cloud deployment path in src/bentoml/_internal/cloud/deployment.py was not included in the fix for CVE-2026-33744. Line 1648 interpolates system_packages directly into a shell command using an f-string without any quoting. The generated script is uploaded to BentoCloud as setup.sh and executed on the cloud build infrastructure during deployment, making this a remote code execution on the CI/CD tier. This vulnerability is fixed in 1.4.38. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2026-35043, GHSA-fgv4-6jr3-jgfw, PYSEC-2026-158
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-ds7n-p8z7-rbcd |
|
| 5 |
| url |
VCID-e9zx-3bha-rbc7 |
| vulnerability_id |
VCID-e9zx-3bha-rbc7 |
| summary |
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 |
|
| fixed_packages |
|
| aliases |
CVE-2026-44345, GHSA-78f9-r8mh-4xm2, PYSEC-2026-189
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-e9zx-3bha-rbc7 |
|
| 6 |
| url |
VCID-fsfy-1seb-m3fu |
| vulnerability_id |
VCID-fsfy-1seb-m3fu |
| summary |
BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.8, there was an insecure deserialization in BentoML's runner server. By setting specific headers and parameters in the POST request, it is possible to execute any unauthorized arbitrary code on the server, which will grant the attackers to have the initial access and information disclosure on the server. This vulnerability is fixed in 1.4.8. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2025-32375, GHSA-7v4r-c989-xh26, PYSEC-2025-32
|
| risk_score |
10.0 |
| exploitability |
2.0 |
| weighted_severity |
9.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-fsfy-1seb-m3fu |
|
| 7 |
| url |
VCID-gbv7-cetk-r3d2 |
| vulnerability_id |
VCID-gbv7-cetk-r3d2 |
| summary |
A deserialization vulnerability exists in BentoML's runner server in bentoml/bentoml versions <=1.3.4.post1. By setting specific parameters, an attacker can execute unauthorized arbitrary code on the server, causing severe harm. The vulnerability is triggered when the args-number parameter is greater than 1, leading to automatic deserialization and arbitrary code execution. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2024-9070, GHSA-9g44-gwvm-hc44
|
| risk_score |
4.5 |
| exploitability |
0.5 |
| weighted_severity |
9.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-gbv7-cetk-r3d2 |
|
| 8 |
| url |
VCID-jh2m-dxpw-8yec |
| vulnerability_id |
VCID-jh2m-dxpw-8yec |
| summary |
BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.39, a malicious bentofile.yaml containing a newline-injected value in envs[*].name produces unquoted RUN directives in the BentoML-generated Dockerfile. When the victim runs bentoml containerize on the imported bento, those RUN directives execute on the host during docker build. This vulnerability is fixed in 1.4.39. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2026-44346, GHSA-w2pm-x38x-jp44, PYSEC-2026-190
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-jh2m-dxpw-8yec |
|
| 9 |
| url |
VCID-nqbt-phrw-nqfm |
| vulnerability_id |
VCID-nqbt-phrw-nqfm |
| summary |
BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.36, the safe_extract_tarfile() function validates that each tar member's path is within the destination directory, but for symlink members it only validates the symlink's own path, not the symlink's target. An attacker can create a malicious bento/model tar file containing a symlink pointing outside the extraction directory, followed by a regular file that writes through the symlink, achieving arbitrary file write on the host filesystem. This vulnerability is fixed in 1.4.36. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2026-27905, GHSA-m6w7-qv66-g3mf
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-nqbt-phrw-nqfm |
|
| 10 |
| url |
VCID-uayn-ekru-8qa3 |
| vulnerability_id |
VCID-uayn-ekru-8qa3 |
| summary |
BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.37, the `docker.system_packages` field in `bentofile.yaml` accepts arbitrary strings that are interpolated directly into Dockerfile `RUN` commands without sanitization. Since `system_packages` is semantically a list of OS package names (data), users do not expect values to be interpreted as shell commands. A malicious `bentofile.yaml` achieves arbitrary command execution during `bentoml containerize` / `docker build`. Version 1.4.37 fixes the issue. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2026-33744, GHSA-jfjg-vc52-wqvf, PYSEC-2026-157
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-uayn-ekru-8qa3 |
|
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