2026-09-27 1:28CVE-2026-100845VulnCheck
PUBLISHED5.2CWE-502

MONAI before 1.6.0 Remote Code Execution via NumpyReader

MONAI before 1.6.0 contains an unsafe deserialization vulnerability in the NumpyReader class that unconditionally uses numpy.load with allow_pickle=True when loading .npy and .npz files. Attackers can craft malicious .npy files with pickle payloads that execute arbitrary code when loaded through MONAI's standard data pipeline.

Problem type

Affected products

Project-MONAI

MONAI

< 1.6.0 - AFFECTED

1.6.0 - UNAFFECTED

References

GitHub Security Advisories

GHSA-4jj3-3266-2688

MONAI before 1.6.0 contains an unsafe deserialization vulnerability in the NumpyReader class that...

https://github.com/advisories/GHSA-4jj3-3266-2688

MONAI before 1.6.0 contains an unsafe deserialization vulnerability in the NumpyReader class that unconditionally uses numpy.load with allow_pickle=True when loading .npy and .npz files. Attackers can craft malicious .npy files with pickle payloads that execute arbitrary code when loaded through MONAI's standard data pipeline.

JSON source

https://cveawg.mitre.org/api/cve/CVE-2026-100845
Click to expand
{
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "cveMetadata": {
    "cveId": "CVE-2026-100845",
    "assignerOrgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
    "assignerShortName": "VulnCheck",
    "dateUpdated": "2026-09-27T01:28:40.337Z",
    "dateReserved": "2026-09-27T00:18:40.971Z",
    "datePublished": "2026-09-27T01:28:40.337Z",
    "state": "PUBLISHED"
  },
  "containers": {
    "cna": {
      "providerMetadata": {
        "orgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
        "shortName": "VulnCheck",
        "dateUpdated": "2026-09-27T01:28:40.337Z"
      },
      "datePublic": "2026-06-11T00:00:00.000Z",
      "title": "MONAI before 1.6.0 Remote Code Execution via NumpyReader",
      "descriptions": [
        {
          "lang": "en",
          "value": "MONAI before 1.6.0 contains an unsafe deserialization vulnerability in the NumpyReader class that unconditionally uses numpy.load with allow_pickle=True when loading .npy and .npz files. Attackers can craft malicious .npy files with pickle payloads that execute arbitrary code when loaded through MONAI's standard data pipeline."
        }
      ],
      "affected": [
        {
          "vendor": "Project-MONAI",
          "product": "MONAI",
          "defaultStatus": "unaffected",
          "versions": [
            {
              "version": "0",
              "status": "affected",
              "versionType": "semver",
              "lessThan": "1.6.0"
            },
            {
              "version": "1.6.0",
              "status": "unaffected",
              "versionType": "semver"
            }
          ]
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      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "lang": "en",
              "description": "Deserialization of Untrusted Data",
              "cweId": "CWE-502",
              "type": "CWE"
            }
          ]
        }
      ],
      "references": [
        {
          "url": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-wg9g-w2j2-8pgr",
          "name": "GitHub Security Advisory (GHSA-wg9g-w2j2-8pgr)",
          "tags": [
            "vendor-advisory"
          ]
        },
        {
          "url": "https://www.vulncheck.com/advisories/monai-before-1.6.0-remote-code-execution-via-numpyreader",
          "name": "VulnCheck Advisory: MONAI before 1.6.0 Remote Code Execution via NumpyReader",
          "tags": [
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      "metrics": [
        {
          "format": "CVSS"
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            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
            "attackVector": "LOCAL",
            "attackComplexity": "LOW",
            "privilegesRequired": "NONE",
            "userInteraction": "REQUIRED",
            "scope": "UNCHANGED",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "availabilityImpact": "HIGH",
            "baseScore": 7.8,
            "baseSeverity": "HIGH"
          }
        }
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      "credits": [
        {
          "lang": "en",
          "value": "romain-deperne",
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}