grsecurity forums

Hi,

When I try to parse learn logs (created with gradm -F -L /etc/grsec/learning.logs), I got:

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Beginning full learning 1st pass...done.
Beginning full learning role reduction...done.
Beginning full learning 2nd pass...done.
Beginning full learning subject reduction for user root...done.
Beginning full learning subject reduction for user nobody...done.
Beginning full learning subject reduction for user dhcp...done.
Beginning full learning object reduction for subject /...done.
Segmentation fault


strace (few last lines):

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write(4, "\t/var\t\t\t\t\n"..., 10)     = 10
write(4, "\t/var/spool\t\t\t\n"..., 15) = 15
write(4, "\t/var/spool/cron\t\t\t\n"..., 20) = 20
write(4, "\t/var/log\t\t\th\n"..., 14)  = 14
write(4, "\t/boot\t\t\t\th\n"..., 12)   = 12
--- SIGSEGV (Segmentation fault) @ 0 (0) ---
+++ killed by SIGSEGV +++


Input file is only 2MB and it seems it doesen't matter how long it is created.

OS: gentoo 2.6.28-hardened-r7 with gradm sys-apps/gradm-2.1.13.200902232204 running on amd64.

How can I change learned data to policy? Is it my mistake or gradm?

If you could send your learning log to spender@grsecurity.net, I can try to reproduce the crash.
Otherwise, I can give you some instructions to help debug it on your end.

-Brad

Logs sent. Hope this will help

Thanks, I've fixed the problem in CVS. If you want to apply the fix to your own tree, here's the diff:

http://cvsweb.grsecurity.net/index.cgi/ ... 86;r2=1.87

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--- gradm2/gradm_newlearn.c   2009/02/21 17:15:32   1.86
+++ gradm2/gradm_newlearn.c   2009/04/14 17:56:26   1.87
@@ -1204,7 +1204,7 @@ show_ips:
          display_ip_tree(connect, GR_IP_CONNECT, stream);
       else
          fprintf(stream, "\tconnect\tdisabled\n");
-      if (node->subject->inaddr_any_override) {
+      if (node->subject != NULL && node->subject->inaddr_any_override) {
          struct in_addr addr;
          addr.s_addr = node->subject->inaddr_any_override;
          fprintf(stream, "\tip_override\t%s\n", inet_ntoa(addr));


I can confirm, that with this patch learning works fine (even for 400MB file).

Thanks