GSD-2022-29192

Vulnerability from gsd - Updated: 2023-12-13 01:19
Details
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.QuantizeAndDequantizeV4Grad` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
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Aliases
CVE-2022-29192
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{
  "GSD": {
    "alias": "CVE-2022-29192",
    "description": "TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.QuantizeAndDequantizeV4Grad` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.",
    "id": "GSD-2022-29192",
    "references": [
      "https://www.suse.com/security/cve/CVE-2022-29192.html"
    ]
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2022-29192"
      ],
      "details": "TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.QuantizeAndDequantizeV4Grad` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.",
      "id": "GSD-2022-29192",
      "modified": "2023-12-13T01:19:42.571700Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
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        "ID": "CVE-2022-29192",
        "STATE": "PUBLIC",
        "TITLE": "Missing validation crashes `QuantizeAndDequantizeV4Grad` in TensorFlow"
      },
      "affects": {
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          "vendor_data": [
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              "product": {
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      "impact": {
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          "attackVector": "LOCAL",
          "availabilityImpact": "HIGH",
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          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
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      },
      "source": {
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        "discovery": "UNKNOWN"
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          "affected_versions": "All versions before 2.6.4, all versions starting from 2.7.0 before 2.7.2, all versions starting from 2.8.0 before 2.8.1",
          "cwe_ids": [
            "CWE-1035",
            "CWE-20",
            "CWE-937"
          ],
          "date": "2022-05-24",
          "description": "TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.QuantizeAndDequantizeV4Grad` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.",
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            "2.7.2",
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            "CVE-2022-29192"
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          "package_slug": "pypi/tensorflow-cpu",
          "pubdate": "2022-05-24",
          "solution": "Upgrade to versions 2.6.4, 2.7.2, 2.8.1 or above.",
          "title": "Improper Input Validation",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h2wq-prv9-2f56",
            "https://nvd.nist.gov/vuln/detail/CVE-2022-29192",
            "https://github.com/tensorflow/tensorflow/commit/098e7762d909bac47ce1dbabe6dfd06294cb9d58",
            "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L148-L226",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0",
            "https://github.com/advisories/GHSA-h2wq-prv9-2f56"
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        },
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            "CWE-20",
            "CWE-937"
          ],
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          "description": "TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.QuantizeAndDequantizeV4Grad` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.",
          "fixed_versions": [
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          "package_slug": "pypi/tensorflow-gpu",
          "pubdate": "2022-05-24",
          "solution": "Upgrade to versions 2.6.4, 2.7.2, 2.8.1 or above.",
          "title": "Improper Input Validation",
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        },
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            "CWE-937"
          ],
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          "description": "TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.QuantizeAndDequantizeV4Grad` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.",
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            "2.7.2",
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          "package_slug": "pypi/tensorflow",
          "pubdate": "2022-05-20",
          "solution": "Upgrade to versions 2.6.4, 2.7.2, 2.8.1 or above.",
          "title": "Improper Input Validation",
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            "https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4",
            "https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2",
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            "accessVector": "LOCAL",
            "authentication": "NONE",
            "availabilityImpact": "PARTIAL",
            "baseScore": 2.1,
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            "vectorString": "AV:L/AC:L/Au:N/C:N/I:N/A:P",
            "version": "2.0"
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          "exploitabilityScore": 3.9,
          "impactScore": 2.9,
          "obtainAllPrivilege": false,
          "obtainOtherPrivilege": false,
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        },
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            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 5.5,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
            "version": "3.1"
          },
          "exploitabilityScore": 1.8,
          "impactScore": 3.6
        }
      },
      "lastModifiedDate": "2022-06-02T12:58Z",
      "publishedDate": "2022-05-20T21:15Z"
    }
  }
}


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  • 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.



Detection rules are retrieved from Rulezet.