{"api_version":"1","generated_at":"2026-08-10T13:39:35+00:00","cve":"CVE-2022-48629","urls":{"html":"https://cve.report/CVE-2022-48629","api":"https://cve.report/api/cve/CVE-2022-48629.json","docs":"https://cve.report/api","cve_org":"https://www.cve.org/CVERecord?id=CVE-2022-48629","nvd":"https://nvd.nist.gov/vuln/detail/CVE-2022-48629"},"summary":{"title":"crypto: qcom-rng - ensure buffer for generate is completely filled","description":"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't check the return value. This issue can\nbe reproduced by running the following from libkcapi:\n\n    kcapi-rng -b 9000000 > 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'val & PRNG_STATUS_DATA_AVAIL' fails.\n\nLet's fix this issue by ensuring that qcom_rng_read() always returns\nwith a full buffer if the function returns success. Let's also have\nqcom_rng_generate() return the correct value.\n\nHere's 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   �        32883   0.003654\n    254   �        33035   0.003671\n    255   �        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's 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   �        35201   0.003911\n    254   �        34835   0.003871\n    255   �        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).","state":"PUBLISHED","assigner":"Linux","published_at":"2024-03-05 12:15:45","updated_at":"2026-08-04 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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't check the return value. This issue can\nbe reproduced by running the following from libkcapi:\n\n    kcapi-rng -b 9000000 > 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'val & PRNG_STATUS_DATA_AVAIL' fails.\n\nLet's fix this issue by ensuring that qcom_rng_read() always returns\nwith a full buffer if the function returns success. Let's also have\nqcom_rng_generate() return the correct value.\n\nHere's 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   �        32883   0.003654\n    254   �        33035   0.003671\n    255   �        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's 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   �        35201   0.003911\n    254   �        34835   0.003871\n    255   �        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)."}],"metrics":[{"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"}}],"providerMetadata":{"dateUpdated":"2026-08-04T09:01:47.704Z","orgId":"416baaa9-dc9f-4396-8d5f-8c081fb06d67","shortName":"Linux"},"references":[{"url":"https://git.kernel.org/stable/c/a8e32bbb96c25b7ab29b1894dcd45e0b3b08fd9d"},{"url":"https://git.kernel.org/stable/c/184f7bd08ce56f003530fc19f160d54e75bf5c9d"},{"url":"https://git.kernel.org/stable/c/0f9b7b8df17525e464294c916acc8194ce38446b"},{"url":"https://git.kernel.org/stable/c/ab9337c7cb6f875b6286440b1adfbeeef2b2b2bd"},{"url":"https://git.kernel.org/stable/c/485995cbc98a4f77cfd4f8ed4dd7ff8ab262964d"},{"url":"https://git.kernel.org/stable/c/a680b1832ced3b5fa7c93484248fd221ea0d614b"}],"title":"crypto: qcom-rng - ensure buffer for generate is completely filled","x_generator":{"engine":"bippy-1.2.0"}}},"cveMetadata":{"assignerOrgId":"416baaa9-dc9f-4396-8d5f-8c081fb06d67","assignerShortName":"Linux","cveId":"CVE-2022-48629","datePublished":"2024-03-05T11:18:06.562Z","dateReserved":"2024-02-25T13:44:28.315Z","dateUpdated":"2026-08-04T09:01:47.704Z","state":"PUBLISHED"},"dataType":"CVE_RECORD","dataVersion":"5.2"},"nvd":{"publishedDate":"2024-03-05 12:15:45","lastModifiedDate":"2026-08-04 10:17:13","problem_types":["NVD-CWE-noinfo"],"metrics":{"cvssMetricV31":[{"source":"416baaa9-dc9f-4396-8d5f-8c081fb06d67","type":"Secondary","cvssData":{"version":"3.1","vectorString":"CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N","baseScore":8.1,"baseSeverity":"HIGH","attackVector":"ADJACENT_NETWORK","attackComplexity":"LOW","privilegesRequired":"NONE","userInteraction":"NONE","scope":"UNCHANGED","confidentialityImpact":"HIGH","integrityImpact":"HIGH","availabilityImpact":"NONE"},"exploitabilityScore":2.8,"impactScore":5.2},{"source":"nvd@nist.gov","type":"Primary","cvssData":{"version":"3.1","vectorString":"CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H","baseScore":5.5,"baseSeverity":"MEDIUM","attackVector":"LOCAL","attackComplexity":"LOW","privilegesRequired":"LOW","userInteraction":"NONE","scope":"UNCHANGED","confidentialityImpact":"NONE","integrityImpact":"NONE","availabilityImpact":"HIGH"},"exploitabilityScore":1.8,"impactScore":3.6}],"ssvcV203":[{"source":"134c704f-9b21-4f2e-91b3-4a467353bcc0","ssvcData":{"timestamp":"2024-03-05T16:07:05.481936Z","id":"CVE-2022-48629","options":[{"exploitation":"none"},{"automatable":"no"},{"technicalImpact":"partial"}],"role":"CISA Coordinator","version":"2.0.3"}}]},"configurations":[{"nodes":[{"operator":"OR","negate":false,"cpeMatch":[{"vulnerable":true,"criteria":"cpe:2.3:o:linux:linux_kernel:*:*:*:*:*:*:*:*","versionStartIncluding":"4.19","versionEndExcluding":"4.19.236","matchCriteriaId":"D1F07A37-C787-4411-B951-D5CEC6EFBA6D"},{"vulnerable":true,"criteria":"cpe:2.3:o:linux:linux_kernel:*:*:*:*:*:*:*:*","versionStartIncluding":"4.20","versionEndExcluding":"5.4.187","matchCriteriaId":"D9FFB805-4ED2-4FAE-9EF4-8AB4BC9D8F5C"},{"vulnerable":true,"criteria":"cpe:2.3:o:linux:linux_kernel:*:*:*:*:*:*:*:*","versionStartIncluding":"5.5","versionEndExcluding":"5.10.108","matchCriteriaId":"24925527-AC4A-4594-8D6C-3B34D31862C5"},{"vulnerable":true,"criteria":"cpe:2.3:o:linux:linux_kernel:*:*:*:*:*:*:*:*","versionStartIncluding":"5.11","versionEndExcluding":"5.15.31","matchCriteriaId":"F25C317E-A673-47D1-844E-171C9BFDF352"},{"vulnerable":true,"criteria":"cpe:2.3:o:linux:linux_kernel:*:*:*:*:*:*:*:*","versionStartIncluding":"5.16","versionEndExcluding":"5.16.17","matchCriteriaId":"DC9A634D-C617-4F8C-ADEF-AF94CE69D687"},{"vulnerable":true,"criteria":"cpe:2.3:o:linux:linux_kernel:5.17:rc1:*:*:*:*:*:*","matchCriteriaId":"7BD5F8D9-54FA-4CB0-B4F0-CB0471FDDB2D"},{"vulnerable":true,"criteria":"cpe:2.3:o:linux:linux_kernel:5.17:rc2:*:*:*:*:*:*","matchCriteriaId":"E6E34B23-78B4-4516-9BD8-61B33F4AC49A"},{"vulnerable":true,"criteria":"cpe:2.3:o:linux:linux_kernel:5.17:rc3:*:*:*:*:*:*","matchCriteriaId":"C030FA3D-03F4-4FB9-9DBF-D08E5CAC51AA"},{"vulnerable":true,"criteria":"cpe:2.3:o:linux:linux_kernel:5.17:rc4:*:*:*:*:*:*","matchCriteriaId":"B2D2677C-5389-4AE9-869D-0F881E80D923"},{"vulnerable":true,"criteria":"cpe:2.3:o:linux:linux_kernel:5.17:rc5:*:*:*:*:*:*","matchCriteriaId":"EFA3917C-C322-4D92-912D-ECE45B2E7416"},{"vulnerable":true,"criteria":"cpe:2.3:o:linux:linux_kernel:5.17:rc6:*:*:*:*:*:*","matchCriteriaId":"BED18363-5ABC-4639-8BBA-68E771E5BB3F"},{"vulnerable":true,"criteria":"cpe:2.3:o:linux:linux_kernel:5.17:rc7:*:*:*:*:*:*","matchCriteriaId":"7F635F96-FA0A-4769-ADE8-232B3AC9116D"},{"vulnerable":true,"criteria":"cpe:2.3:o:linux:linux_kernel:5.17:rc8:*:*:*:*:*:*","matchCriteriaId":"FD39FE73-2A9D-4C92-AE7A-CA22F84B228D"}]}]}]},"legacy_mitre":{"record":{"CveYear":"2022","CveId":"48629","Ordinal":"1","Title":"crypto: qcom-rng - ensure buffer for generate is completely fill","CVE":"CVE-2022-48629","Year":"2022"},"notes":[{"CveYear":"2022","CveId":"48629","Ordinal":"1","NoteData":"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't check the return value. This issue can\nbe reproduced by running the following from libkcapi:\n\n    kcapi-rng -b 9000000 > 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'val & PRNG_STATUS_DATA_AVAIL' fails.\n\nLet's fix this issue by ensuring that qcom_rng_read() always returns\nwith a full buffer if the function returns success. Let's also have\nqcom_rng_generate() return the correct value.\n\nHere's 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   �        32883   0.003654\n    254   �        33035   0.003671\n    255   �        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's 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   �        35201   0.003911\n    254   �        34835   0.003871\n    255   �        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).","Type":"Description","Title":"crypto: qcom-rng - ensure buffer for generate is completely fill"}]}}}