CVE-2022-48629 (GCVE-0-2022-48629)
Vulnerability from cvelistv5
Published
2024-03-05 11:18
Modified
2026-05-11 18:44
Severity ?
Summary
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).
References
Impacted products
Vendor Product Version
Linux Linux Version: ceec5f5b59882b871a722ca4d49b767a09a4bde9
Version: ceec5f5b59882b871a722ca4d49b767a09a4bde9
Version: ceec5f5b59882b871a722ca4d49b767a09a4bde9
Version: ceec5f5b59882b871a722ca4d49b767a09a4bde9
Version: ceec5f5b59882b871a722ca4d49b767a09a4bde9
Version: ceec5f5b59882b871a722ca4d49b767a09a4bde9
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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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