Vulnerability-Lookup

GSD-2022-48629

Vulnerability from gsd - Updated: 2024-02-26 06:00

Details

In the Linux kernel, the following vulnerability has been resolved: crypto: qcom-rng - ensure buffer for generate is completely filled The generate function in struct rng_alg expects that the destination buffer is completely filled if the function returns 0. qcom_rng_read() can run into a situation where the buffer is partially filled with randomness and the remaining part of the buffer is zeroed since qcom_rng_generate() doesn't check the return value. This issue can be reproduced by running the following from libkcapi: kcapi-rng -b 9000000 > OUTFILE The generated OUTFILE will have three huge sections that contain all zeros, and this is caused by the code where the test 'val & PRNG_STATUS_DATA_AVAIL' fails. Let's fix this issue by ensuring that qcom_rng_read() always returns with a full buffer if the function returns success. Let's also have qcom_rng_generate() return the correct value. Here's some statistics from the ent project (https://www.fourmilab.ch/random/) that shows information about the quality of the generated numbers: $ ent -c qcom-random-before Value Char Occurrences Fraction 0 606748 0.067416 1 33104 0.003678 2 33001 0.003667 ... 253 � 32883 0.003654 254 � 33035 0.003671 255 � 33239 0.003693 Total: 9000000 1.000000 Entropy = 7.811590 bits per byte. Optimum compression would reduce the size of this 9000000 byte file by 2 percent. Chi square distribution for 9000000 samples is 9329962.81, and randomly would exceed this value less than 0.01 percent of the times. Arithmetic mean value of data bytes is 119.3731 (127.5 = random). Monte Carlo value for Pi is 3.197293333 (error 1.77 percent). Serial correlation coefficient is 0.159130 (totally uncorrelated = 0.0). Without this patch, the results of the chi-square test is 0.01%, and the numbers are certainly not random according to ent's project page. The results improve with this patch: $ ent -c qcom-random-after Value Char Occurrences Fraction 0 35432 0.003937 1 35127 0.003903 2 35424 0.003936 ... 253 � 35201 0.003911 254 � 34835 0.003871 255 � 35368 0.003930 Total: 9000000 1.000000 Entropy = 7.999979 bits per byte. Optimum compression would reduce the size of this 9000000 byte file by 0 percent. Chi square distribution for 9000000 samples is 258.77, and randomly would exceed this value 42.24 percent of the times. Arithmetic mean value of data bytes is 127.5006 (127.5 = random). Monte Carlo value for Pi is 3.141277333 (error 0.01 percent). Serial correlation coefficient is 0.000468 (totally uncorrelated = 0.0). This change was tested on a Nexus 5 phone (msm8974 SoC).

Aliases

CVE-2022-48629

JSON

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{
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2022-48629"
      ],
      "details": "In the Linux kernel, the following vulnerability has been resolved:\n\ncrypto: qcom-rng - ensure buffer for generate is completely filled\n\nThe generate function in struct rng_alg expects that the destination\nbuffer is completely filled if the function returns 0. qcom_rng_read()\ncan run into a situation where the buffer is partially filled with\nrandomness and the remaining part of the buffer is zeroed since\nqcom_rng_generate() doesn\u0027t check the return value. This issue can\nbe reproduced by running the following from libkcapi:\n\n    kcapi-rng -b 9000000 \u003e OUTFILE\n\nThe generated OUTFILE will have three huge sections that contain all\nzeros, and this is caused by the code where the test\n\u0027val \u0026 PRNG_STATUS_DATA_AVAIL\u0027 fails.\n\nLet\u0027s fix this issue by ensuring that qcom_rng_read() always returns\nwith a full buffer if the function returns success. Let\u0027s also have\nqcom_rng_generate() return the correct value.\n\nHere\u0027s some statistics from the ent project\n(https://www.fourmilab.ch/random/) that shows information about the\nquality of the generated numbers:\n\n    $ ent -c qcom-random-before\n    Value Char Occurrences Fraction\n      0           606748   0.067416\n      1            33104   0.003678\n      2            33001   0.003667\n    ...\n    253   \ufffd        32883   0.003654\n    254   \ufffd        33035   0.003671\n    255   \ufffd        33239   0.003693\n\n    Total:       9000000   1.000000\n\n    Entropy = 7.811590 bits per byte.\n\n    Optimum compression would reduce the size\n    of this 9000000 byte file by 2 percent.\n\n    Chi square distribution for 9000000 samples is 9329962.81, and\n    randomly would exceed this value less than 0.01 percent of the\n    times.\n\n    Arithmetic mean value of data bytes is 119.3731 (127.5 = random).\n    Monte Carlo value for Pi is 3.197293333 (error 1.77 percent).\n    Serial correlation coefficient is 0.159130 (totally uncorrelated =\n    0.0).\n\nWithout this patch, the results of the chi-square test is 0.01%, and\nthe numbers are certainly not random according to ent\u0027s project page.\nThe results improve with this patch:\n\n    $ ent -c qcom-random-after\n    Value Char Occurrences Fraction\n      0            35432   0.003937\n      1            35127   0.003903\n      2            35424   0.003936\n    ...\n    253   \ufffd        35201   0.003911\n    254   \ufffd        34835   0.003871\n    255   \ufffd        35368   0.003930\n\n    Total:       9000000   1.000000\n\n    Entropy = 7.999979 bits per byte.\n\n    Optimum compression would reduce the size\n    of this 9000000 byte file by 0 percent.\n\n    Chi square distribution for 9000000 samples is 258.77, and randomly\n    would exceed this value 42.24 percent of the times.\n\n    Arithmetic mean value of data bytes is 127.5006 (127.5 = random).\n    Monte Carlo value for Pi is 3.141277333 (error 0.01 percent).\n    Serial correlation coefficient is 0.000468 (totally uncorrelated =\n    0.0).\n\nThis change was tested on a Nexus 5 phone (msm8974 SoC).",
      "id": "GSD-2022-48629",
      "modified": "2024-02-26T06:00:31.314369Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "cve@kernel.org",
        "ID": "CVE-2022-48629",
        "STATE": "PUBLIC"
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                    "product_name": "Linux",
                    "version": {
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                          "version_name": "ceec5f5b5988",
                          "version_value": "a8e32bbb96c2"
                        },
                        {
                          "version_value": "not down converted",
                          "x_cve_json_5_version_data": {
                            "defaultStatus": "affected",
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                                "status": "affected",
                                "version": "4.19"
                              },
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                                "status": "unaffected",
                                "version": "4.19.236",
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                              {
                                "lessThanOrEqual": "5.4.*",
                                "status": "unaffected",
                                "version": "5.4.187",
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                                "lessThanOrEqual": "5.10.*",
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                                "lessThanOrEqual": "5.15.*",
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            "value": "In the Linux kernel, the following vulnerability has been resolved:\n\ncrypto: qcom-rng - ensure buffer for generate is completely filled\n\nThe generate function in struct rng_alg expects that the destination\nbuffer is completely filled if the function returns 0. qcom_rng_read()\ncan run into a situation where the buffer is partially filled with\nrandomness and the remaining part of the buffer is zeroed since\nqcom_rng_generate() doesn\u0027t check the return value. This issue can\nbe reproduced by running the following from libkcapi:\n\n    kcapi-rng -b 9000000 \u003e OUTFILE\n\nThe generated OUTFILE will have three huge sections that contain all\nzeros, and this is caused by the code where the test\n\u0027val \u0026 PRNG_STATUS_DATA_AVAIL\u0027 fails.\n\nLet\u0027s fix this issue by ensuring that qcom_rng_read() always returns\nwith a full buffer if the function returns success. Let\u0027s also have\nqcom_rng_generate() return the correct value.\n\nHere\u0027s some statistics from the ent project\n(https://www.fourmilab.ch/random/) that shows information about the\nquality of the generated numbers:\n\n    $ ent -c qcom-random-before\n    Value Char Occurrences Fraction\n      0           606748   0.067416\n      1            33104   0.003678\n      2            33001   0.003667\n    ...\n    253   \ufffd        32883   0.003654\n    254   \ufffd        33035   0.003671\n    255   \ufffd        33239   0.003693\n\n    Total:       9000000   1.000000\n\n    Entropy = 7.811590 bits per byte.\n\n    Optimum compression would reduce the size\n    of this 9000000 byte file by 2 percent.\n\n    Chi square distribution for 9000000 samples is 9329962.81, and\n    randomly would exceed this value less than 0.01 percent of the\n    times.\n\n    Arithmetic mean value of data bytes is 119.3731 (127.5 = random).\n    Monte Carlo value for Pi is 3.197293333 (error 1.77 percent).\n    Serial correlation coefficient is 0.159130 (totally uncorrelated =\n    0.0).\n\nWithout this patch, the results of the chi-square test is 0.01%, and\nthe numbers are certainly not random according to ent\u0027s project page.\nThe results improve with this patch:\n\n    $ ent -c qcom-random-after\n    Value Char Occurrences Fraction\n      0            35432   0.003937\n      1            35127   0.003903\n      2            35424   0.003936\n    ...\n    253   \ufffd        35201   0.003911\n    254   \ufffd        34835   0.003871\n    255   \ufffd        35368   0.003930\n\n    Total:       9000000   1.000000\n\n    Entropy = 7.999979 bits per byte.\n\n    Optimum compression would reduce the size\n    of this 9000000 byte file by 0 percent.\n\n    Chi square distribution for 9000000 samples is 258.77, and randomly\n    would exceed this value 42.24 percent of the times.\n\n    Arithmetic mean value of data bytes is 127.5006 (127.5 = random).\n    Monte Carlo value for Pi is 3.141277333 (error 0.01 percent).\n    Serial correlation coefficient is 0.000468 (totally uncorrelated =\n    0.0).\n\nThis change was tested on a Nexus 5 phone (msm8974 SoC)."
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            "refsource": "MISC",
            "url": "https://git.kernel.org/stable/c/a680b1832ced3b5fa7c93484248fd221ea0d614b"
          }
        ]
      }
    },
    "nvd.nist.gov": {
      "cve": {
        "descriptions": [
          {
            "lang": "en",
            "value": "In the Linux kernel, the following vulnerability has been resolved:\n\ncrypto: qcom-rng - ensure buffer for generate is completely filled\n\nThe generate function in struct rng_alg expects that the destination\nbuffer is completely filled if the function returns 0. qcom_rng_read()\ncan run into a situation where the buffer is partially filled with\nrandomness and the remaining part of the buffer is zeroed since\nqcom_rng_generate() doesn\u0027t check the return value. This issue can\nbe reproduced by running the following from libkcapi:\n\n    kcapi-rng -b 9000000 \u003e OUTFILE\n\nThe generated OUTFILE will have three huge sections that contain all\nzeros, and this is caused by the code where the test\n\u0027val \u0026 PRNG_STATUS_DATA_AVAIL\u0027 fails.\n\nLet\u0027s fix this issue by ensuring that qcom_rng_read() always returns\nwith a full buffer if the function returns success. Let\u0027s also have\nqcom_rng_generate() return the correct value.\n\nHere\u0027s some statistics from the ent project\n(https://www.fourmilab.ch/random/) that shows information about the\nquality of the generated numbers:\n\n    $ ent -c qcom-random-before\n    Value Char Occurrences Fraction\n      0           606748   0.067416\n      1            33104   0.003678\n      2            33001   0.003667\n    ...\n    253   \ufffd        32883   0.003654\n    254   \ufffd        33035   0.003671\n    255   \ufffd        33239   0.003693\n\n    Total:       9000000   1.000000\n\n    Entropy = 7.811590 bits per byte.\n\n    Optimum compression would reduce the size\n    of this 9000000 byte file by 2 percent.\n\n    Chi square distribution for 9000000 samples is 9329962.81, and\n    randomly would exceed this value less than 0.01 percent of the\n    times.\n\n    Arithmetic mean value of data bytes is 119.3731 (127.5 = random).\n    Monte Carlo value for Pi is 3.197293333 (error 1.77 percent).\n    Serial correlation coefficient is 0.159130 (totally uncorrelated =\n    0.0).\n\nWithout this patch, the results of the chi-square test is 0.01%, and\nthe numbers are certainly not random according to ent\u0027s project page.\nThe results improve with this patch:\n\n    $ ent -c qcom-random-after\n    Value Char Occurrences Fraction\n      0            35432   0.003937\n      1            35127   0.003903\n      2            35424   0.003936\n    ...\n    253   \ufffd        35201   0.003911\n    254   \ufffd        34835   0.003871\n    255   \ufffd        35368   0.003930\n\n    Total:       9000000   1.000000\n\n    Entropy = 7.999979 bits per byte.\n\n    Optimum compression would reduce the size\n    of this 9000000 byte file by 0 percent.\n\n    Chi square distribution for 9000000 samples is 258.77, and randomly\n    would exceed this value 42.24 percent of the times.\n\n    Arithmetic mean value of data bytes is 127.5006 (127.5 = random).\n    Monte Carlo value for Pi is 3.141277333 (error 0.01 percent).\n    Serial correlation coefficient is 0.000468 (totally uncorrelated =\n    0.0).\n\nThis change was tested on a Nexus 5 phone (msm8974 SoC)."
          },
          {
            "lang": "es",
            "value": "En el kernel de Linux, se ha resuelto la siguiente vulnerabilidad: crypto: qcom-rng: aseg\u00farese de que el b\u00fafer para generar est\u00e9 completamente lleno. La funci\u00f3n de generaci\u00f3n en la estructura rng_alg espera que el b\u00fafer de destino est\u00e9 completamente lleno si la funci\u00f3n devuelve 0. qcom_rng_read() puede ejecutarse en una situaci\u00f3n en la que el b\u00fafer est\u00e1 parcialmente lleno de aleatoriedad y la parte restante del b\u00fafer se pone a cero ya que qcom_rng_generate() no verifica el valor de retorno. Este problema se puede reproducir ejecutando lo siguiente desde libkcapi: kcapi-rng -b 9000000 \u0026gt; OUTFILE El OUTFILE generado tendr\u00e1 tres secciones enormes que contienen todos ceros, y esto se debe al c\u00f3digo donde falla la prueba \u0027val \u0026amp; PRNG_STATUS_DATA_AVAIL\u0027. Solucionemos este problema asegur\u00e1ndonos de que qcom_rng_read() siempre regrese con un b\u00fafer lleno si la funci\u00f3n tiene \u00e9xito. Tambi\u00e9n hagamos que qcom_rng_generate() devuelva el valor correcto. Aqu\u00ed hay algunas estad\u00edsticas del proyecto ent (https://www.fourmilab.ch/random/) que muestra informaci\u00f3n sobre la calidad de los n\u00fameros generados: $ ent -c qcom-random-before Valor Char Ocurrencias Fracci\u00f3n 0 606748 0.067416 1 33104 0,003678 2 33001 0,003667 ... 253 ? 32883 0,003654 254 ? 33035 0,003671 255 ? 33239 0,003693 Total: 9000000 1,000000 Entrop\u00eda = 7,811590 bits por byte. Una compresi\u00f3n \u00f3ptima reducir\u00eda el tama\u00f1o de este archivo de 9000000 bytes en un 2 por ciento. La distribuci\u00f3n de chi cuadrado para 9000000 muestras es 9329962,81 y aleatoriamente exceder\u00eda este valor menos del 0,01 por ciento de las veces. El valor medio aritm\u00e9tico de los bytes de datos es 119,3731 (127,5 = aleatorio). El valor de Monte Carlo para Pi es 3,197293333 (error del 1,77 por ciento). El coeficiente de correlaci\u00f3n serial es 0,159130 (totalmente no correlacionado = 0,0). Sin este parche, los resultados de la prueba de chi-cuadrado son del 0,01% y los n\u00fameros ciertamente no son aleatorios seg\u00fan la p\u00e1gina del proyecto de ent. Los resultados mejoran con este parche: $ ent -c qcom-random-after Valor Char Ocurrencias Fracci\u00f3n 0 35432 0.003937 1 35127 0.003903 2 35424 0.003936 ... 253 ? 35201 0,003911 254 ? 34835 0,003871 255 ? 35368 0,003930 Total: 9000000 1,000000 Entrop\u00eda = 7,999979 bits por byte. Una compresi\u00f3n \u00f3ptima reducir\u00eda el tama\u00f1o de este archivo de 9000000 bytes en un 0 por ciento. La distribuci\u00f3n de chi cuadrado para 9000000 muestras es 258,77 y aleatoriamente exceder\u00eda este valor el 42,24 por ciento de las veces. El valor medio aritm\u00e9tico de los bytes de datos es 127,5006 (127,5 = aleatorio). El valor de Monte Carlo para Pi es 3,141277333 (error del 0,01 por ciento). El coeficiente de correlaci\u00f3n serial es 0,000468 (totalmente no correlacionado = 0,0). Este cambio se prob\u00f3 en un tel\u00e9fono Nexus 5 (SoC msm8974)."
          }
        ],
        "id": "CVE-2022-48629",
        "lastModified": "2024-03-21T02:44:43.813",
        "metrics": {},
        "published": "2024-03-05T12:15:45.707",
        "references": [
          {
            "source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
            "url": "https://git.kernel.org/stable/c/0f9b7b8df17525e464294c916acc8194ce38446b"
          },
          {
            "source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
            "url": "https://git.kernel.org/stable/c/184f7bd08ce56f003530fc19f160d54e75bf5c9d"
          },
          {
            "source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
            "url": "https://git.kernel.org/stable/c/485995cbc98a4f77cfd4f8ed4dd7ff8ab262964d"
          },
          {
            "source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
            "url": "https://git.kernel.org/stable/c/a680b1832ced3b5fa7c93484248fd221ea0d614b"
          },
          {
            "source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
            "url": "https://git.kernel.org/stable/c/a8e32bbb96c25b7ab29b1894dcd45e0b3b08fd9d"
          },
          {
            "source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
            "url": "https://git.kernel.org/stable/c/ab9337c7cb6f875b6286440b1adfbeeef2b2b2bd"
          }
        ],
        "sourceIdentifier": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
        "vulnStatus": "Awaiting Analysis"
      }
    }
  }
}

CVE-2022-48629 (GCVE-0-2022-48629)

Vulnerability from cvelistv5 – Published: 2024-03-05 11:18 – Updated: 2026-08-05 08:51

Title

crypto: qcom-rng - ensure buffer for generate is completely filled

Summary

Severity

8.1 (High)


                        
                          CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-03-05 16:07 UTC

Assigner

Linux mitre root

References

6 references

URL	Tags
https://git.kernel.org/stable/c/a8e32bbb96c25b7ab…
https://git.kernel.org/stable/c/184f7bd08ce56f003…
https://git.kernel.org/stable/c/0f9b7b8df17525e46…
https://git.kernel.org/stable/c/ab9337c7cb6f875b6…
https://git.kernel.org/stable/c/485995cbc98a4f77c…
https://git.kernel.org/stable/c/a680b1832ced3b5fa…

Impacted products

2 products

Vendor	Product	Version
Linux	Linux	Affected: ceec5f5b59882b871a722ca4d49b767a09a4bde9 , < a8e32bbb96c25b7ab29b1894dcd45e0b3b08fd9d (git) Affected: ceec5f5b59882b871a722ca4d49b767a09a4bde9 , < 184f7bd08ce56f003530fc19f160d54e75bf5c9d (git) Affected: ceec5f5b59882b871a722ca4d49b767a09a4bde9 , < 0f9b7b8df17525e464294c916acc8194ce38446b (git) Affected: ceec5f5b59882b871a722ca4d49b767a09a4bde9 , < ab9337c7cb6f875b6286440b1adfbeeef2b2b2bd (git) Affected: ceec5f5b59882b871a722ca4d49b767a09a4bde9 , < 485995cbc98a4f77cfd4f8ed4dd7ff8ab262964d (git) Affected: ceec5f5b59882b871a722ca4d49b767a09a4bde9 , < a680b1832ced3b5fa7c93484248fd221ea0d614b (git)
Linux	Linux	Affected: 4.19 Unaffected: 0 , < 4.19 (semver) Unaffected: 4.19.236 , ≤ 4.19.* (semver) Unaffected: 5.4.187 , ≤ 5.4.* (semver) Unaffected: 5.10.108 , ≤ 5.10.* (semver) Unaffected: 5.15.31 , ≤ 5.15.* (semver) Unaffected: 5.16.17 , ≤ 5.16.* (semver) Unaffected: 5.17 , ≤ * (original_commit_for_fix)

Show details on NVD website

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{
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            "other": {
              "content": {
                "id": "CVE-2022-48629",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
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                "role": "CISA Coordinator",
                "timestamp": "2024-03-05T16:07:05.481936Z",
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          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      },
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          "dateUpdated": "2024-08-03T15:17:55.625Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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            "url": "https://git.kernel.org/stable/c/184f7bd08ce56f003530fc19f160d54e75bf5c9d"
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            "url": "https://git.kernel.org/stable/c/a680b1832ced3b5fa7c93484248fd221ea0d614b"
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              "status": "unaffected",
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            {
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              "version": "5.17",
              "versionType": "original_commit_for_fix"
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      "cpeApplicability": [
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                  "versionEndExcluding": "5.4.187",
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          "lang": "en",
          "value": "In the Linux kernel, the following vulnerability has been resolved:\n\ncrypto: qcom-rng - ensure buffer for generate is completely filled\n\nThe generate function in struct rng_alg expects that the destination\nbuffer is completely filled if the function returns 0. qcom_rng_read()\ncan run into a situation where the buffer is partially filled with\nrandomness and the remaining part of the buffer is zeroed since\nqcom_rng_generate() doesn\u0027t check the return value. This issue can\nbe reproduced by running the following from libkcapi:\n\n    kcapi-rng -b 9000000 \u003e OUTFILE\n\nThe generated OUTFILE will have three huge sections that contain all\nzeros, and this is caused by the code where the test\n\u0027val \u0026 PRNG_STATUS_DATA_AVAIL\u0027 fails.\n\nLet\u0027s fix this issue by ensuring that qcom_rng_read() always returns\nwith a full buffer if the function returns success. Let\u0027s also have\nqcom_rng_generate() return the correct value.\n\nHere\u0027s some statistics from the ent project\n(https://www.fourmilab.ch/random/) that shows information about the\nquality of the generated numbers:\n\n    $ ent -c qcom-random-before\n    Value Char Occurrences Fraction\n      0           606748   0.067416\n      1            33104   0.003678\n      2            33001   0.003667\n    ...\n    253   \ufffd        32883   0.003654\n    254   \ufffd        33035   0.003671\n    255   \ufffd        33239   0.003693\n\n    Total:       9000000   1.000000\n\n    Entropy = 7.811590 bits per byte.\n\n    Optimum compression would reduce the size\n    of this 9000000 byte file by 2 percent.\n\n    Chi square distribution for 9000000 samples is 9329962.81, and\n    randomly would exceed this value less than 0.01 percent of the\n    times.\n\n    Arithmetic mean value of data bytes is 119.3731 (127.5 = random).\n    Monte Carlo value for Pi is 3.197293333 (error 1.77 percent).\n    Serial correlation coefficient is 0.159130 (totally uncorrelated =\n    0.0).\n\nWithout this patch, the results of the chi-square test is 0.01%, and\nthe numbers are certainly not random according to ent\u0027s project page.\nThe results improve with this patch:\n\n    $ ent -c qcom-random-after\n    Value Char Occurrences Fraction\n      0            35432   0.003937\n      1            35127   0.003903\n      2            35424   0.003936\n    ...\n    253   \ufffd        35201   0.003911\n    254   \ufffd        34835   0.003871\n    255   \ufffd        35368   0.003930\n\n    Total:       9000000   1.000000\n\n    Entropy = 7.999979 bits per byte.\n\n    Optimum compression would reduce the size\n    of this 9000000 byte file by 0 percent.\n\n    Chi square distribution for 9000000 samples is 258.77, and randomly\n    would exceed this value 42.24 percent of the times.\n\n    Arithmetic mean value of data bytes is 127.5006 (127.5 = random).\n    Monte Carlo value for Pi is 3.141277333 (error 0.01 percent).\n    Serial correlation coefficient is 0.000468 (totally uncorrelated =\n    0.0).\n\nThis change was tested on a Nexus 5 phone (msm8974 SoC)."
        }
      ],
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          "cvssV3_1": {
            "baseScore": 8.1,
            "baseSeverity": "HIGH",
            "vectorString": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N",
            "version": "3.1"
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            {
              "lang": "en",
              "value": "AV:A - On Qualcomm phones (the driver\u0027s primary deployment; fix tested on Nexus 5), qcom-rng becomes crypto_default_rng and feeds Bluetooth SMP ECDH private-key generation (smp\u2192ecdh-nist-p256\u2192ecc_gen_privkey), so an adjacent Bluetooth attacker can exploit weak pairing keys.\nAC:L - qcom_rng_read() stops at the first clear PRNG_STATUS_DATA_AVAIL without waiting, so any multi-word generate (including 32-byte ECDH keys) systematically underfills while qcom_rng_generate() still returns 0; the fix\u0027s readl_poll_timeout confirms waiting is required for reliable full fills.\nPR:N - A Bluetooth-adjacent attacker needs no local account or capabilities on the victim; the weak keys are produced by in-kernel SMP pairing crypto. (AF_ALG rng is also reachable by unprivileged local users, but the highest-impact path is unauthenticated adjacent Bluetooth.)\nUI:N - Exploitation rides the normal Bluetooth SMP/LE Secure Connections key-agreement exchange; no additional victim action beyond ordinary pairing protocol participation is required.\nS:U - Impact stays within the device\u0027s own kernel crypto authority (broken Bluetooth link keys/traffic); there is no VM escape, IOMMU bypass, or other cross-authority boundary crossing.\nC:H - Underfilled RNG output yields low-entropy ECDH private keys and other crypto_default_rng secrets (and AF_ALG returns large zero runs), allowing decryption of Bluetooth traffic and disclosure of material that should have been confidential.\nI:H - The same weak ECDH/session keys enable MITM and forgery of Bluetooth SMP-protected traffic, and equally undermine integrity of any MAC/signature keys drawn from the underfilled stdrng.\nA:N - This defect only returns success with incomplete/zero-padded random data; it does not oops, panic, hang, or loop (the related infinite-loop DoS is CVE-2022-48630 from a later fix)."
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        "dateUpdated": "2026-08-05T08:51:33.070Z",
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    "assignerShortName": "Linux",
    "cveId": "CVE-2022-48629",
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    "dateReserved": "2024-02-25T13:44:28.315Z",
    "dateUpdated": "2026-08-05T08:51:33.070Z",
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}

Sightings

Author	Source	Type	Date	Other

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.
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.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.