René Helmke 7791f18b51 bootstrap
2023-05-16 16:09:41 +02:00

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{
"id": "CVE-2021-29582",
"sourceIdentifier": "security-advisories@github.com",
"published": "2021-05-14T20:15:14.390",
"lastModified": "2021-05-20T15:39:49.547",
"vulnStatus": "Analyzed",
"descriptions": [
{
"lang": "en",
"value": "TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.Dequantize`, an attacker can trigger a read from outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/26003593aa94b1742f34dc22ce88a1e17776a67d/tensorflow/core/kernels/dequantize_op.cc#L106-L131) accesses the `min_range` and `max_range` tensors in parallel but fails to check that they have the same shape. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range."
},
{
"lang": "es",
"value": "TensorFlow es una plataforma de c\u00f3digo abierto de extremo a extremo para el aprendizaje autom\u00e1tico. Debido a una falta de comprobaci\u00f3n en la funci\u00f3n \"tf.raw_ops.Dequantize\", un atacante puede desencadenar una lectura desde fuera de l\u00edmites de los datos asignados a la pila. La implementaci\u00f3n (https://github.com/tensorflow/tensorflow/blob/26003593aa94b1742f34dc22ce88a1e17776a67d/tensorflow/core/kernels/dequantize_op.cc#L106-L131) accede a los tensores \"min_range\" y \"max_range\" en paralelo pero no puede comprobar eso presentan una misma forma. La correcci\u00f3n ser\u00e1 incluida en TensorFlow versi\u00f3n 2.5.0. Tambi\u00e9n seleccionaremos este compromiso en TensorFlow versi\u00f3n 2.4.2, TensorFlow versi\u00f3n 2.3.3, TensorFlow versi\u00f3n 2.2.3 y TensorFlow versi\u00f3n 2.1.4, ya que estos tambi\u00e9n est\u00e1n afectados y a\u00fan est\u00e1n en el rango admitido"
}
],
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"source": "nvd@nist.gov",
"type": "Primary",
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"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H",
"attackVector": "LOCAL",
"attackComplexity": "LOW",
"privilegesRequired": "LOW",
"userInteraction": "NONE",
"scope": "UNCHANGED",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"availabilityImpact": "HIGH",
"baseScore": 7.1,
"baseSeverity": "HIGH"
},
"exploitabilityScore": 1.8,
"impactScore": 5.2
},
{
"source": "security-advisories@github.com",
"type": "Secondary",
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"version": "3.1",
"vectorString": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L",
"attackVector": "LOCAL",
"attackComplexity": "HIGH",
"privilegesRequired": "LOW",
"userInteraction": "NONE",
"scope": "UNCHANGED",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"availabilityImpact": "LOW",
"baseScore": 2.5,
"baseSeverity": "LOW"
},
"exploitabilityScore": 1.0,
"impactScore": 1.4
}
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{
"source": "nvd@nist.gov",
"type": "Primary",
"cvssData": {
"version": "2.0",
"vectorString": "AV:L/AC:L/Au:N/C:P/I:N/A:P",
"accessVector": "LOCAL",
"accessComplexity": "LOW",
"authentication": "NONE",
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 3.6
},
"baseSeverity": "LOW",
"exploitabilityScore": 3.9,
"impactScore": 4.9,
"acInsufInfo": false,
"obtainAllPrivilege": false,
"obtainUserPrivilege": false,
"obtainOtherPrivilege": false,
"userInteractionRequired": false
}
]
},
"weaknesses": [
{
"source": "security-advisories@github.com",
"type": "Primary",
"description": [
{
"lang": "en",
"value": "CWE-125"
}
]
}
],
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"references": [
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"url": "https://github.com/tensorflow/tensorflow/commit/5899741d0421391ca878da47907b1452f06aaf1b",
"source": "security-advisories@github.com",
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