PYSEC-2026-289

Vulnerability from pysec - Published: 2026-06-29 11:50 - Updated: 2026-06-29 12:05
VLAI
Details

Deserialization of untrusted data in the Azure AI Language Conversations Authoring client library for Python allows an unauthorized attacker to execute code over a network.

Impacted products
Name purl
azure-ai-language-conversations-authoring

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "azure-ai-language-conversations-authoring"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.0.0b4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "1.0.0b1",
        "1.0.0b2",
        "1.0.0b3"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-21531",
    "GHSA-436v-jg82-p533"
  ],
  "details": "Deserialization of untrusted data in the Azure AI Language Conversations Authoring client library for Python allows an unauthorized attacker to execute code over a network.",
  "id": "PYSEC-2026-289",
  "modified": "2026-06-29T12:05:21.371552Z",
  "published": "2026-06-29T11:50:51.457063Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-21531"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/Azure/azure-sdk-for-python"
    },
    {
      "type": "WEB",
      "url": "https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21531"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/azure-ai-language-conversations-authoring"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-436v-jg82-p533"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Azure AI Language Authoring Elevation of Privilege Vulnerability can Lead to RCE"
}


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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.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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