RUSTSEC-2026-0217 (CVE-2026-55093)

Vulnerability from osv_rustsec – Published: 2026-06-18 12:00 – Updated: 2026-10-12 17:47 – Source website
VLAI
Summary
Integer overflow in tract-nnef NNEF tensor parser leads to out-of-bounds read on model load
Details

tract_nnef::tensors::read_tensor builds a tensor shape from attacker-controlled 32-bit dimensions and computes both the element count product(shape) and the byte allocation product(shape) * size_of(dt) with unchecked usize arithmetic. In release builds (no overflow-checks) both products wrap modulo 2^64.

A crafted NNEF .dat tensor can choose dimensions whose wrapped products collapse to a small value that satisfies the header size-consistency check, while the true element count stays astronomically large. read_tensor then returns a Tensor whose reported len (e.g. 2^61 + 7) far exceeds its backing heap allocation (e.g. 56 bytes). The unchecked accessor as_slice_unchecked (slice::from_raw_parts(ptr, self.len())) subsequently yields a slice spanning ~18 EiB over the small buffer.

The out-of-bounds read fires automatically during model build (no inference required), reachable through the default DatLoader resource loader via the public tract_nnef::nnef().model_for_path / model_for_read API when the const-folding as_uniform fast-path materializes the over-long constant. The always-on primitive is a bounded adjacent-heap over-read (information disclosure); access further past the mapped region SIGSEGVs (denial of service). No out-of-bounds write or code execution was demonstrated.

Affected: every release line prior to the backported fixes — < 0.21.16, 0.22.0–0.22.1, and 0.23.0. The block-quant path had already received an analogous blob-size guard; the dense DatLoader path was missed.

Mitigation

Upgrade to 0.21.16, 0.22.2, or 0.23.1. The fix computes the shape product and byte size with checked_mul and rejects the tensor on overflow (commit 34c7df2).


{
  "affected": [
    {
      "database_specific": {
        "categories": [
          "memory-exposure",
          "denial-of-service"
        ],
        "cvss": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:H",
        "informational": null
      },
      "ecosystem_specific": {
        "affected_functions": null,
        "affects": {
          "arch": [],
          "functions": [
            "tract_nnef::tensors::read_tensor"
          ],
          "os": []
        }
      },
      "package": {
        "ecosystem": "crates.io",
        "name": "tract-nnef",
        "purl": "pkg:cargo/tract-nnef"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0.0.0-0"
            },
            {
              "fixed": "0.21.16"
            },
            {
              "introduced": "0.22.0"
            },
            {
              "fixed": "0.22.2"
            },
            {
              "introduced": "0.23.0"
            },
            {
              "fixed": "0.23.1"
            }
          ],
          "type": "SEMVER"
        }
      ],
      "versions": []
    }
  ],
  "aliases": [
    "CVE-2026-55093",
    "GHSA-x5mv-8wgw-29hg"
  ],
  "database_specific": {
    "license": "CC0-1.0"
  },
  "details": "`tract_nnef::tensors::read_tensor` builds a tensor shape from attacker-controlled\n32-bit dimensions and computes both the element count `product(shape)` and the\nbyte allocation `product(shape) * size_of(dt)` with **unchecked `usize`\narithmetic**. In release builds (no `overflow-checks`) both products wrap modulo\n2^64.\n\nA crafted NNEF `.dat` tensor can choose dimensions whose wrapped products\ncollapse to a small value that satisfies the header size-consistency check, while\nthe true element count stays astronomically large. `read_tensor` then returns a\n`Tensor` whose reported `len` (e.g. `2^61 + 7`) far exceeds its backing heap\nallocation (e.g. 56 bytes). The unchecked accessor `as_slice_unchecked`\n(`slice::from_raw_parts(ptr, self.len())`) subsequently yields a slice spanning\n~18 EiB over the small buffer.\n\nThe out-of-bounds read fires automatically during model build (no inference\nrequired), reachable through the default `DatLoader` resource loader via the\npublic `tract_nnef::nnef().model_for_path` / `model_for_read` API when the\nconst-folding `as_uniform` fast-path materializes the over-long constant. The\nalways-on primitive is a bounded adjacent-heap over-read (information\ndisclosure); access further past the mapped region SIGSEGVs (denial of service).\nNo out-of-bounds write or code execution was demonstrated.\n\nAffected: every release line prior to the backported fixes \u2014 `\u003c 0.21.16`,\n`0.22.0`\u2013`0.22.1`, and `0.23.0`. The block-quant path had already received an\nanalogous blob-size guard; the dense `DatLoader` path was missed.\n\n## Mitigation\n\nUpgrade to `0.21.16`, `0.22.2`, or `0.23.1`. The fix computes the shape product\nand byte size with `checked_mul` and rejects the tensor on overflow\n(commit [`34c7df2`](https://github.com/sonos/tract/commit/34c7df2c9bd2a36583e09b52f3e6319bf23102e8)).",
  "id": "RUSTSEC-2026-0217",
  "modified": "2026-10-12T17:47:59Z",
  "published": "2026-06-18T12:00:00Z",
  "references": [
    {
      "type": "PACKAGE",
      "url": "https://crates.io/crates/tract-nnef"
    },
    {
      "type": "ADVISORY",
      "url": "https://rustsec.org/advisories/RUSTSEC-2026-0217.html"
    },
    {
      "type": "WEB",
      "url": "https://github.com/sonos/tract/commit/34c7df2c9bd2a36583e09b52f3e6319bf23102e8"
    },
    {
      "type": "WEB",
      "url": "https://github.com/sonos/tract/commit/34c7df2c9bd2a36583e09b52f3e6319bf23102e8"
    }
  ],
  "related": [],
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Integer overflow in tract-nnef NNEF tensor parser leads to out-of-bounds read on model load"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON
How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

Events included in the timeline

Loading timeline…


    Loading…

    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.