GHSA-9WJG-4FHR-X4RW

Vulnerability from github – Published: 2026-07-13 06:31 – Updated: 2026-07-13 06:31
VLAI
Details

A vulnerability has been found in yashbhalgat HashNeRF-pytorch up to 82885e698295982504eb6a26d060a6b2473e3706. Affected by this issue is the function torch.load of the file run_nerf.py of the component Checkpoint File Handler. The manipulation of the argument ckpt_path leads to deserialization. The attack must be carried out locally. The exploit has been disclosed to the public and may be used. This product uses a rolling release model to deliver continuous updates. As a result, specific version information for affected or updated releases is not available. The pull request to fix this issue awaits acceptance.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-15531"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-20"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-13T06:16:27Z",
    "severity": "LOW"
  },
  "details": "A vulnerability has been found in yashbhalgat HashNeRF-pytorch up to 82885e698295982504eb6a26d060a6b2473e3706. Affected by this issue is the function torch.load of the file run_nerf.py of the component Checkpoint File Handler. The manipulation of the argument ckpt_path leads to deserialization. The attack must be carried out locally. The exploit has been disclosed to the public and may be used. This product uses a rolling release model to deliver continuous updates. As a result, specific version information for affected or updated releases is not available. The pull request to fix this issue awaits acceptance.",
  "id": "GHSA-9wjg-4fhr-x4rw",
  "modified": "2026-07-13T06:31:32Z",
  "published": "2026-07-13T06:31:32Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-15531"
    },
    {
      "type": "WEB",
      "url": "https://github.com/yashbhalgat/HashNeRF-pytorch/issues/49"
    },
    {
      "type": "WEB",
      "url": "https://github.com/yashbhalgat/HashNeRF-pytorch/pull/50"
    },
    {
      "type": "WEB",
      "url": "https://github.com/yashbhalgat/HashNeRF-pytorch"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/cve/CVE-2026-15531"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/submit/854906"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/vuln/377874"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/vuln/377874/cti"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}



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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

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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