GHSA-CMW6-HCPP-C6JP

Vulnerability from github – Published: 2026-04-01 21:13 – Updated: 2026-04-01 21:13
VLAI
Summary
ONNX: Arbitrary File Read via ExternalData Hardlink Bypass in ONNX load
Details

Summary

The issue is in onnx.load — the code checks for symlinks to prevent path traversal, but completely misses hardlinks, which is the problem, since a hardlink looks exactly like a regular file on the filesystem.

The Real Problem

The validator in onnx/checker.cc only calls is_symlink() and never checks the inode or st_nlink, so a hardlink walks right through every security check without any issues.

Impact

Especially dangerous in AI supply chain scenarios like HuggingFace — a single malicious model is enough to silently steal secrets from the victim's machine without them noticing anything.

Show details on source website

{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 1.20.1"
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "onnx"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.21.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-34446"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-22",
      "CWE-61"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-04-01T21:13:37Z",
    "nvd_published_at": "2026-04-01T18:16:30Z",
    "severity": "MODERATE"
  },
  "details": "### Summary\nThe issue is in `onnx.load` \u2014 the code checks for symlinks to prevent path traversal, but completely misses hardlinks, which is the problem, since a hardlink looks exactly like a regular file on the filesystem.\n\n### The Real Problem\nThe validator in `onnx/checker.cc` only calls `is_symlink()` and never checks the inode or `st_nlink`, so a hardlink walks right through every security check without any issues.\n\n### Impact\nEspecially dangerous in AI supply chain scenarios like HuggingFace \u2014 a single malicious model is enough to silently steal secrets from the victim\u0027s machine without them noticing anything.",
  "id": "GHSA-cmw6-hcpp-c6jp",
  "modified": "2026-04-01T21:13:37Z",
  "published": "2026-04-01T21:13:37Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/onnx/onnx/security/advisories/GHSA-cmw6-hcpp-c6jp"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-34446"
    },
    {
      "type": "WEB",
      "url": "https://github.com/onnx/onnx/commit/4755f8053928dce18a61db8fec71b69c74f786cb"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/onnx/onnx"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "ONNX: Arbitrary File Read via ExternalData Hardlink Bypass in ONNX load"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


Loading…