onnx - Debian Package Tracker

general

source: onnx (main)
version: 1.20.0-6
maintainer: Debian Deep Learning Team (archive) (DMD)
uploaders: Mo Zhou [DMD]
arch: all any
std-ver: 4.7.4
VCS: Git (Browse, QA)

versions [more versions can be listed by madison] [old versions available from snapshot.debian.org]

[pool directory]

o-o-stable: 1.7.0+dfsg-3
oldstable: 1.12.0-2
stable: 1.17.0-3
testing: 1.20.0-6
unstable: 1.20.0-6

versioned links

1.7.0+dfsg-3: [.dsc, use dget on this link to retrieve source package] [changelog] [copyright] [rules] [control]
1.12.0-2: [.dsc, use dget on this link to retrieve source package] [changelog] [copyright] [rules] [control]
1.17.0-3: [.dsc, use dget on this link to retrieve source package] [changelog] [copyright] [rules] [control]
1.20.0-6: [.dsc, use dget on this link to retrieve source package] [changelog] [copyright] [rules] [control]

binaries

libonnx-dev
libonnx-testdata
libonnx1l
python3-onnx

action needed

A new upstream version is available: 1.22.0 high

A new upstream version 1.22.0 is available, you should consider packaging it.

Created: 2025-11-26 Last update: 2026-06-29 19:03

5 security issues in sid high

There are 5 open security issues in sid.

5 important issues:

CVE-2026-27489: Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, a path traversal vulnerability via symlink allows to read arbitrary files outside model or user-provided directory. This issue has been patched in version 1.21.0.
CVE-2026-28500: Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load() due to improper logic in the repository trust verification mechanism. While the function is designed to warn users when loading models from non-official sources, the use of the silent=True parameter completely suppresses all security warnings and confirmation prompts. This vulnerability transforms a standard model-loading function into a vector for Zero-Interaction Supply-Chain Attacks. When chained with file-system vulnerabilities, an attacker can silently exfiltrate sensitive files (SSH keys, cloud credentials) from the victim's machine the moment the model is loaded. As of time of publication, no known patched versions are available.
CVE-2026-34445: Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr() function to load metadata (like file paths or data lengths) directly from an ONNX model file. It didn’t check if the "keys" in the file were valid. Due to this, an attacker could craft a malicious model that overwrites internal object properties. This issue has been patched in version 1.21.0.
CVE-2026-34446: Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, there is an issue in onnx.load, the code checks for symlinks to prevent path traversal, but completely misses hardlinks because a hardlink looks exactly like a regular file on the filesystem. This issue has been patched in version 1.21.0.
CVE-2026-34447: Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, there is a symlink traversal vulnerability in external data loading allows reading files outside the model directory. This issue has been patched in version 1.21.0.

Created: 2026-03-18 Last update: 2026-06-27 07:00

5 security issues in forky high

There are 5 open security issues in forky.

5 important issues:

CVE-2026-27489: Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, a path traversal vulnerability via symlink allows to read arbitrary files outside model or user-provided directory. This issue has been patched in version 1.21.0.
CVE-2026-28500: Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load() due to improper logic in the repository trust verification mechanism. While the function is designed to warn users when loading models from non-official sources, the use of the silent=True parameter completely suppresses all security warnings and confirmation prompts. This vulnerability transforms a standard model-loading function into a vector for Zero-Interaction Supply-Chain Attacks. When chained with file-system vulnerabilities, an attacker can silently exfiltrate sensitive files (SSH keys, cloud credentials) from the victim's machine the moment the model is loaded. As of time of publication, no known patched versions are available.
CVE-2026-34445: Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr() function to load metadata (like file paths or data lengths) directly from an ONNX model file. It didn’t check if the "keys" in the file were valid. Due to this, an attacker could craft a malicious model that overwrites internal object properties. This issue has been patched in version 1.21.0.
CVE-2026-34446: Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, there is an issue in onnx.load, the code checks for symlinks to prevent path traversal, but completely misses hardlinks because a hardlink looks exactly like a regular file on the filesystem. This issue has been patched in version 1.21.0.
CVE-2026-34447: Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, there is a symlink traversal vulnerability in external data loading allows reading files outside the model directory. This issue has been patched in version 1.21.0.

Created: 2026-03-18 Last update: 2026-06-27 07:00

lintian reports 1 warning normal

Lintian reports 1 warning about this package. You should make the package lintian clean getting rid of them.

Created: 2026-06-25 Last update: 2026-06-25 17:16

version in VCS is newer than in repository, is it time to upload? normal

vcswatch reports that this package seems to have a new changelog entry (version 1.21.0-1, distribution UNRELEASED) and new commits in its VCS. You should consider whether it's time to make an upload.

Here are the relevant commit messages:

commit 17b76a06fda7c6133cad369a743b933f74e7676f
Author: Dylan Aïssi <dylan.aissi@collabora.com>
Date:   Thu Jun 25 15:27:04 2026 +0200

    Update debian/changelog
    
    Signed-off-by: Dylan Aïssi <dylan.aissi@collabora.com>

commit c53f3231c97a21ad5167f1c671d3d76cdb3ad59c
Author: Dylan Aïssi <dylan.aissi@collabora.com>
Date:   Thu Jun 25 15:16:18 2026 +0200

    Disable building against all python versions to workaround an issue with cmake cache
    
    We are facing: https://github.com/onnx/onnx/issues/7568
    
    Signed-off-by: Dylan Aïssi <dylan.aissi@collabora.com>

commit b47343b9441b34014de560fde7bf46a5c2432a90
Author: Dylan Aïssi <dylan.aissi@collabora.com>
Date:   Thu Jun 25 10:10:23 2026 +0200

    Refresh patches
    
    Signed-off-by: Dylan Aïssi <dylan.aissi@collabora.com>

commit 2cbc5370399fe5bd66b8eb3223dc1cef98f22656
Author: Dylan Aïssi <dylan.aissi@collabora.com>
Date:   Thu Jun 25 09:57:09 2026 +0200

    Bump debian/changelog
    
    Signed-off-by: Dylan Aïssi <dylan.aissi@collabora.com>

commit 7ef6c3a9668867d31da14601789d2cd9289b0823
Merge: 6d6da0b c12d178
Author: Dylan Aïssi <daissi@debian.org>
Date:   Thu Jun 25 09:56:14 2026 +0200

    Update upstream source from tag 'upstream/1.21.0'
    
    Update to upstream version '1.21.0'
    with Debian dir 923a4e842321d390db909314e5075af2e4c15f44

commit c12d1785193cd8377864a3697b7afc2264ada3eb
Author: Dylan Aïssi <daissi@debian.org>
Date:   Thu Jun 25 09:55:53 2026 +0200

    New upstream version 1.21.0

Created: 2026-06-25 Last update: 2026-06-25 15:31

5 low-priority security issues in trixie low

There are 5 open security issues in trixie.

5 issues left for the package maintainer to handle:

CVE-2026-27489: (needs triaging) Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, a path traversal vulnerability via symlink allows to read arbitrary files outside model or user-provided directory. This issue has been patched in version 1.21.0.
CVE-2026-28500: (needs triaging) Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load() due to improper logic in the repository trust verification mechanism. While the function is designed to warn users when loading models from non-official sources, the use of the silent=True parameter completely suppresses all security warnings and confirmation prompts. This vulnerability transforms a standard model-loading function into a vector for Zero-Interaction Supply-Chain Attacks. When chained with file-system vulnerabilities, an attacker can silently exfiltrate sensitive files (SSH keys, cloud credentials) from the victim's machine the moment the model is loaded. As of time of publication, no known patched versions are available.
CVE-2026-34445: (needs triaging) Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr() function to load metadata (like file paths or data lengths) directly from an ONNX model file. It didn’t check if the "keys" in the file were valid. Due to this, an attacker could craft a malicious model that overwrites internal object properties. This issue has been patched in version 1.21.0.
CVE-2026-34446: (needs triaging) Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, there is an issue in onnx.load, the code checks for symlinks to prevent path traversal, but completely misses hardlinks because a hardlink looks exactly like a regular file on the filesystem. This issue has been patched in version 1.21.0.
CVE-2026-34447: (needs triaging) Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, there is a symlink traversal vulnerability in external data loading allows reading files outside the model directory. This issue has been patched in version 1.21.0.

You can find information about how to handle these issues in the security team's documentation.

Created: 2026-03-18 Last update: 2026-06-27 07:00

6 low-priority security issues in bookworm low

There are 6 open security issues in bookworm.

6 issues left for the package maintainer to handle:

CVE-2024-7776: (needs triaging) A vulnerability in the `download_model` function of the onnx/onnx framework, before and including version 1.16.1, allows for arbitrary file overwrite due to inadequate prevention of path traversal attacks in malicious tar files. This vulnerability can be exploited by an attacker to overwrite files in the user's directory, potentially leading to remote command execution.
CVE-2026-27489: (needs triaging) Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, a path traversal vulnerability via symlink allows to read arbitrary files outside model or user-provided directory. This issue has been patched in version 1.21.0.
CVE-2026-28500: (needs triaging) Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load() due to improper logic in the repository trust verification mechanism. While the function is designed to warn users when loading models from non-official sources, the use of the silent=True parameter completely suppresses all security warnings and confirmation prompts. This vulnerability transforms a standard model-loading function into a vector for Zero-Interaction Supply-Chain Attacks. When chained with file-system vulnerabilities, an attacker can silently exfiltrate sensitive files (SSH keys, cloud credentials) from the victim's machine the moment the model is loaded. As of time of publication, no known patched versions are available.
CVE-2026-34445: (needs triaging) Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr() function to load metadata (like file paths or data lengths) directly from an ONNX model file. It didn’t check if the "keys" in the file were valid. Due to this, an attacker could craft a malicious model that overwrites internal object properties. This issue has been patched in version 1.21.0.
CVE-2026-34446: (needs triaging) Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, there is an issue in onnx.load, the code checks for symlinks to prevent path traversal, but completely misses hardlinks because a hardlink looks exactly like a regular file on the filesystem. This issue has been patched in version 1.21.0.
CVE-2026-34447: (needs triaging) Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, there is a symlink traversal vulnerability in external data loading allows reading files outside the model directory. This issue has been patched in version 1.21.0.

You can find information about how to handle these issues in the security team's documentation.

Created: 2024-06-07 Last update: 2026-06-27 07:00

debian/patches: 3 patches to forward upstream low

Among the 3 debian patches available in version 1.20.0-6 of the package, we noticed the following issues:

3 patches where the metadata indicates that the patch has not yet been forwarded upstream. You should either forward the patch upstream or update the metadata to document its real status.

Created: 2023-02-26 Last update: 2026-06-25 15:31

testing migrations

This package will soon be part of the auto-protobuf transition. You might want to ensure that your package is ready for it. You can probably find supplementary information in the debian-release archives or in the corresponding release.debian.org bug.

news

[rss feed]

[2026-06-27] onnx 1.20.0-6 MIGRATED to testing (Debian testing watch)
[2026-06-25] Accepted onnx 1.20.0-6 (source) into unstable (Alexandre Detiste)
[2026-06-14] onnx 1.20.0-5 MIGRATED to testing (Debian testing watch)
[2026-06-12] Accepted onnx 1.20.0-5 (source) into unstable (Alexandre Detiste)
[2026-03-18] onnx 1.20.0-4 MIGRATED to testing (Debian testing watch)
[2026-03-15] Accepted onnx 1.20.0-4 (source) into unstable (Dylan Aïssi)
[2026-03-11] Accepted onnx 1.20.0-3 (source amd64 all) into experimental (Debian FTP Masters) (signed by: Dylan Aïssi)
[2026-01-12] Accepted onnx 1.20.0-1 (source) into unstable (Shengqi Chen)
[2026-01-09] Accepted onnx 1.20.0-1~exp1 (source) into experimental (Shengqi Chen)
[2025-10-23] Accepted onnx 1.19.1-1~exp1 (source) into experimental (Shengqi Chen)
[2025-02-02] onnx 1.17.0-3 MIGRATED to testing (Debian testing watch)
[2025-01-30] Accepted onnx 1.17.0-3 (source) into unstable (Mo Zhou)
[2025-01-23] Accepted onnx 1.17.0-2 (source) into unstable (Mo Zhou)
[2025-01-20] Accepted onnx 1.17.0-1 (source) into experimental (Mo Zhou)
[2024-10-18] onnx 1.16.2-1 MIGRATED to testing (Debian testing watch)
[2024-09-27] Accepted onnx 1.16.2-1 (source) into unstable (Mo Zhou)
[2024-07-14] Accepted onnx 1.16.1-1 (source) into experimental (Mo Zhou)
[2024-05-03] onnx 1.14.1-2.1 MIGRATED to testing (Debian testing watch)
[2024-03-16] onnx REMOVED from testing (Debian testing watch)
[2024-02-29] Accepted onnx 1.14.1-2.1 (source) into unstable (Benjamin Drung)
[2024-02-03] Accepted onnx 1.14.1-2.1~exp1 (source) into experimental (Lucas Kanashiro)
[2024-01-15] onnx 1.14.1-2 MIGRATED to testing (Debian testing watch)
[2024-01-01] Accepted onnx 1.14.1-2 (source) into unstable (Mo Zhou)
[2023-12-30] Accepted onnx 1.14.1-1 (source) into experimental (Mo Zhou)
[2023-09-13] onnx 1.13.1-3 MIGRATED to testing (Debian testing watch)
[2023-09-11] Accepted onnx 1.13.1-3 (source) into unstable (Mo Zhou)
[2023-09-10] Accepted onnx 1.13.1-2 (source) into unstable (Mo Zhou)
[2023-08-20] Accepted onnx 1.13.1-1 (source) into unstable (Mo Zhou)
[2022-07-13] onnx 1.12.0-2 MIGRATED to testing (Debian testing watch)
[2022-07-08] Accepted onnx 1.12.0-2 (source) into unstable (Mo Zhou)

bugs [bug history graph]

all: 5
RC: 0
I&N: 5
M&W: 0
F&P: 0
patch: 0

links

homepage
lintian (0, 1)
buildd: logs, reproducibility, cross
popcon
browse source code
other distros
security tracker
debian patches
debci

ubuntu

[Information about Ubuntu for Debian Developers]

version: 1.20.0-1