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Medium

Denial of Service via HDF5 Shape Bomb in keras.models.load_model() in keras-team/keras

Type: advisorySources: OSV

A vulnerability in keras-team/keras versions <= 3.15.0 allows for a denial of service (DoS) attack when loading malicious .keras model files via the keras.models.load_model() function. The H5IOStore.__getitem__ method in keras/src/saving/saving_lib.py does not validate the shape or size of datasets, leading to unbounded memory allocation. A specially crafted .keras file can exploit this flaw to trigger an out-of-memory (OOM) condition, causing the process to be terminated (exit code 137). This issue bypasses the fix for CVE-2026-0897, which only addressed a similar vulnerability in KerasFileEditor. The attack vector includes poisoned models from public repositories or malicious model registries, posing a risk to machine learning pipelines that process untrusted models.

Products
Not specified
Affected versions
Not specified
Fixed versions
Not specified
CVEs
CVE-2026-12570
Confirmed fixed CVEs
Not specified
Updated in this feed
4 Nov 2026, 11:19 UTC · Revision 1

Source evidence

Denial of Service via HDF5 Shape Bomb in keras.models.load_model() in keras-team/keras

core-osv · Original source

Published 10 Aug 2026, 06:29 UTC

A vulnerability in keras-team/keras versions <= 3.15.0 allows for a denial of service (DoS) attack when loading malicious .keras model files via the keras.models.load_model() function. The H5IOStore.__getitem__ method in keras/src/saving/saving_lib.py does not validate the shape or size of datasets, leading to unbounded memory allocation. A specially crafted .keras file can exploit this flaw to trigger an out-of-memory (OOM) condition, causing the process to be terminated (exit code 137). This issue bypasses the fix for CVE-2026-0897, which only addressed a similar vulnerability in KerasFileEditor. The attack vector includes poisoned models from public repositories or malicious model registries, posing a risk to machine learning pipelines that process untrusted models.

osv:CVE-2026-12570
Complete source record
{
  "id": "e0fa8c288e6c72731aaf5fc75435edff4e47f0c0ad424425614eaafc833229d6",
  "url": "https://osv.dev/vulnerability/CVE-2026-12570",
  "method": "structured",
  "payload": {
    "kind": "advisory",
    "title": "Denial of Service via HDF5 Shape Bomb in keras.models.load_model() in keras-team/keras",
    "summary": "A vulnerability in keras-team/keras versions <= 3.15.0 allows for a denial of service (DoS) attack when loading malicious .keras model files via the keras.models.load_model() function. The H5IOStore.__getitem__ method in keras/src/saving/saving_lib.py does not validate the shape or size of datasets, leading to unbounded memory allocation. A specially crafted .keras file can exploit this flaw to trigger an out-of-memory (OOM) condition, causing the process to be terminated (exit code 137). This issue bypasses the fix for CVE-2026-0897, which only addressed a similar vulnerability in KerasFileEditor. The attack vector includes poisoned models from public repositories or malicious model registries, posing a risk to machine learning pipelines that process untrusted models.",
    "evidence": "osv:CVE-2026-12570",
    "products": [],
    "severity": "medium",
    "structured": {
      "id": "CVE-2026-12570",
      "aliases": [
        "CVE-2026-12570",
        "GHSA-74m6-m3xx-3vmj",
        "PYSEC-2026-3856"
      ],
      "metrics": [
        {
          "type": "CVSS_V3",
          "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H"
        }
      ],
      "affected": [
        {
          "ranges": [
            {
              "repo": "https://github.com/keras-team/keras",
              "type": "GIT",
              "events": [
                {
                  "introduced": "0"
                },
                {
                  "fixed": "4933ea4a5b3fcc24ceacdc276f5bb5dfbd06756c"
                }
              ],
              "database_specific": {
                "extracted_events": [
                  {
                    "range": [
                      {
                        "introduced": "0"
                      },
                      {
                        "last_affected": "3.15.0"
                      }
                    ],
                    "source": "DESCRIPTION"
                  },
                  {
                    "range": [
                      {
                        "fixed": "4933ea4a5b3fcc24ceacdc276f5bb5dfbd06756c"
                      }
                    ],
                    "source": "REFERENCES_COMMIT"
                  }
                ]
              }
            }
          ],
          "versions": [
            "v3.14.0",
            "v3.12.0",
            "v3.11.0",
            "v3.10.0",
            "v3.9.0",
            "v3.8.0",
            "v3.7.0",
            "v3.6.0",
            "v3.5.0",
            "v3.4.1",
            "v3.4.0",
            "v3.3.3",
            "v3.3.2",
            "v3.3.1",
            "v3.3.0",
            "v3.2.1",
            "v3.2.0",
            "v3.1.1",
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            "v3.0.2",
            "v3.0.1",
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            "v2.7.0-rc0",
            "v2.6.0-rc0",
            "2.4.0",
            "2.3.1",
            "2.3.0",
            "2.2.4",
            "2.2.3",
            "2.2.2",
            "2.2.1",
            "2.2.0",
            "2.1.6",
            "2.1.5",
            "2.1.4",
            "2.1.3",
            "2.1.2",
            "2.1.1",
            "2.1.0",
            "2.0.9",
            "2.0.8",
            "2.0.7",
            "2.0.6",
            "2.0.5",
            "2.0.4",
            "2.0.3",
            "2.0.2",
            "2.0.1",
            "2.0.0",
            "1.2.0",
            "1.1.1",
            "1.1.0",
            "1.0.8",
            "1.0.7",
            "1.0.6",
            "1.0.5",
            "1.0.4",
            "1.0.3",
            "1.0.2",
            "1.0.1",
            "1.0.0",
            "0.3.2",
            "0.3.1",
            "0.3.0",
            "0.2.0",
            "0.1.3",
            "0.1.2",
            "0.1.1",
            "0.1.0"
          ],
          "database_specific": {
            "source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2026-12570.json"
          }
        }
      ],
      "modified": "2026-10-28T02:30:34.437908232Z",
      "provider": "osv",
      "references": [
        "https://huntr.com/bounties/a064f475-780a-409a-82f7-678512f27ad8",
        "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/12xxx/CVE-2026-12570.json",
        "https://nvd.nist.gov/vuln/detail/CVE-2026-12570",
        "https://github.com/keras-team/keras/commit/4933ea4a5b3fcc24ceacdc276f5bb5dfbd06756c"
      ],
      "provider_metadata": {
        "cwe_ids": [
          "CWE-770"
        ],
        "cna_assigner": "@huntr_ai",
        "unresolved_ranges": [
          {
            "extracted_events": [
              {
                "range": [
                  {
                    "fixed": "3.12.3, 3.15.0"
                  }
                ],
                "source": "AFFECTED_FIELD",
                "strategy": "SplitRange"
              }
            ]
          }
        ],
        "osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/12xxx/CVE-2026-12570.json"
      }
    },
    "related_cves": [
      {
        "value": "CVE-2026-12570",
        "evidence": "/id"
      }
    ],
    "security_relevant": true,
    "severity_evidence": "/severity/0/score"
  },
  "source_id": "core-osv",
  "document_id": 501985,
  "published_at": "2026-08-10T06:29:56.111+00:00"
}