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collection of tools for the extraction of digital artifacts from volatile memory (RAM) samples

The Rekall Framework is a completely open collection of tools, implemented in Python under the GNU General Public License, for the extraction of digital artifacts from volatile memory (RAM) samples. The extraction techniques are performed completely independent of the system being investigated but offer visibilty into the runtime state of the system. The framework is intended to introduce people to the techniques and complexities associated with extracting digital artifacts from volatile memory samples and provide a platform for further work into this exciting area of research.

Version: 1.7.1 License: GPL-2 GitHub
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26 build(s) found
Builder Build Number Start Time Elapsed Time Watcher Build Status
10.11 254170 2024-03-03 15:50:28 0:02:13 83169 build successful
10.14 198500 2024-03-03 15:46:56 0:03:39 64764 build successful
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10.15 174524 2024-03-03 15:30:33 0:02:19 53754 build successful
10.12 263408 2024-03-03 15:25:36 0:01:28 81955 build successful
10.8 167655 2024-03-03 15:25:23 0:02:00 53537 build successful
10.6 156158 2024-03-03 15:25:19 0:00:54 55700 build successful
10.13 223682 2024-03-03 15:25:12 0:01:26 74013 build successful
12 99510 2024-03-03 15:24:22 0:01:47 32494 build successful
10.9 266218 2024-03-03 15:23:55 0:01:14 82744 build successful
10.10 259239 2024-03-03 15:22:01 0:01:23 83061 build successful
10.7 180307 2024-03-03 15:20:05 0:01:16 55477 build successful
10.6.x86_64 191782 2024-03-03 15:19:28 0:00:54 55746 build successful
14.arm64 19321 2024-03-03 15:14:08 0:00:46 6225 build successful
14 6810 2023-11-04 3:08:12 0:03:53 1246 build successful
13 14049 2023-01-11 17:49:16 0:03:10 1923 build successful
12.arm64 28922 2021-11-25 20:02:33 0:00:44 1593 build successful
10.15 16480 2019-12-25 8:26:19 0:02:36 1717 build successful
10.12 85918 2019-03-03 18:17:53 0:02:32 21608 build successful
10.5_ppc 94450 2019-03-03 18:16:37 0:04:11 21898 build successful
10.10 81125 2019-03-03 18:03:27 0:02:49 22663 build successful
10.13 51158 2019-03-03 17:30:33 0:08:57 13584 build successful
10.11 80627 2019-03-03 17:20:30 0:08:28 22615 build successful
10.14 25130 2019-03-03 17:13:39 0:07:51 4294 build successful
10.9 83056 2019-03-03 16:23:34 0:07:12 22608 build successful