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apparmor/parser/libapparmor_re/hfa.cc
John Johansen 6aad970d1c Split out compressed dfa "transition table" compression
Split hfa into hfa and compressed_hfa files.  The hfa portion focuses on
creating an manipulating hfas, while compressed_hfa is used for creating
compressed hfas that can be used/reused at run time with much less memory
usage than the full blown hfa.

Signed-off-by: John Johansen <john.johansen@canonical.com>
Acked-By: Steve Beattie <sbeattie@ubuntu.com>
2011-03-13 05:50:34 -07:00

864 lines
25 KiB
C++

/*
* (C) 2006, 2007 Andreas Gruenbacher <agruen@suse.de>
* Copyright (c) 2003-2008 Novell, Inc. (All rights reserved)
* Copyright 2009-2010 Canonical Ltd.
*
* The libapparmor library is licensed under the terms of the GNU
* Lesser General Public License, version 2.1. Please see the file
* COPYING.LGPL.
*
* This library is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*
*
* Base of implementation based on the Lexical Analysis chapter of:
* Alfred V. Aho, Ravi Sethi, Jeffrey D. Ullman:
* Compilers: Principles, Techniques, and Tools (The "Dragon Book"),
* Addison-Wesley, 1986.
*/
#include <list>
#include <vector>
#include <stack>
#include <set>
#include <map>
#include <ostream>
#include <iostream>
#include <fstream>
#include "expr-tree.h"
#include "hfa.h"
#include "../immunix.h"
ostream& operator<<(ostream& os, const State& state)
{
/* dump the state label */
os << '{';
os << state.label;
os << '}';
return os;
}
State* DFA::add_new_state(NodeMap &nodemap, pair <unsigned long, NodeSet *> index, NodeSet *nodes, dfa_stats_t &stats)
{
State *state = new State(nodemap.size(), nodes);
states.push_back(state);
nodemap.insert(make_pair(index, state));
stats.proto_sum += nodes->size();
if (nodes->size() > stats.proto_max)
stats.proto_max = nodes->size();
return state;
}
State *DFA::find_target_state(NodeMap &nodemap, list <State *> &work_queue,
NodeSet *nodes, dfa_stats_t &stats)
{
State *target;
pair <unsigned long, NodeSet *> index = make_pair(hash_NodeSet(nodes), nodes);
map<pair <unsigned long, NodeSet *>, State *, deref_less_than>::iterator x = nodemap.find(index);
if (x == nodemap.end()) {
/* set of nodes isn't known so create new state, and nodes to
* state mapping
*/
target = add_new_state(nodemap, index, nodes, stats);
work_queue.push_back(target);
} else {
/* set of nodes already has a mapping so free this one */
stats.duplicates++;
delete (nodes);
target = x->second;
}
return target;
}
void DFA::update_state_transitions(NodeMap &nodemap,
list <State *> &work_queue, State *state,
dfa_stats_t &stats)
{
/* Compute possible transitions for state->nodes. This is done by
* iterating over all the nodes in state->nodes and combining the
* transitions.
*
* The resultant transition set is a mapping of characters to
* sets of nodes.
*/
NodeCases cases;
for (NodeSet::iterator i = state->nodes->begin(); i != state->nodes->end(); i++)
(*i)->follow(cases);
/* Now for each set of nodes in the computed transitions, make
* sure that there is a state that maps to it, and add the
* matching case to the state.
*/
/* check the default transition first */
if (cases.otherwise)
state->cases.otherwise = find_target_state(nodemap, work_queue,
cases.otherwise,
stats);;
/* For each transition from *from, check if the set of nodes it
* transitions to already has been mapped to a state
*/
for (NodeCases::iterator j = cases.begin(); j != cases.end(); j++) {
State *target;
target = find_target_state(nodemap, work_queue, j->second,
stats);
/* Don't insert transition that the default transition
* already covers
*/
if (target != state->cases.otherwise)
state->cases.cases[j->first] = target;
}
}
/* WARNING: This routine can only be called from within DFA creation as
* the nodes value is only valid during dfa construction.
*/
void DFA::dump_node_to_dfa(void)
{
cerr << "Mapping of States to expr nodes\n"
" State <= Nodes\n"
"-------------------\n";
for (Partition::iterator i = states.begin(); i != states.end(); i++)
cerr << " " << (*i)->label << " <= " << *(*i)->nodes << "\n";
}
/**
* Construct a DFA from a syntax tree.
*/
DFA::DFA(Node *root, dfaflags_t flags) : root(root)
{
dfa_stats_t stats = { 0, 0, 0 };
int i = 0;
if (flags & DFA_DUMP_PROGRESS)
fprintf(stderr, "Creating dfa:\r");
for (depth_first_traversal i(root); i; i++) {
(*i)->compute_nullable();
(*i)->compute_firstpos();
(*i)->compute_lastpos();
}
if (flags & DFA_DUMP_PROGRESS)
fprintf(stderr, "Creating dfa: followpos\r");
for (depth_first_traversal i(root); i; i++) {
(*i)->compute_followpos();
}
NodeMap nodemap;
NodeSet *emptynode = new NodeSet;
nonmatching = add_new_state(nodemap,
make_pair(hash_NodeSet(emptynode), emptynode),
emptynode, stats);
NodeSet *first = new NodeSet(root->firstpos);
start = add_new_state(nodemap, make_pair(hash_NodeSet(first), first),
first, stats);
/* the work_queue contains the states that need to have their
* transitions computed. This could be done with a recursive
* algorithm instead of a work_queue, but it would be slightly slower
* and consume more memory.
*
* TODO: currently the work_queue is treated in a breadth first
* search manner. Test using the work_queue in a depth first
* manner, this may help reduce the number of entries on the
* work_queue at any given time, thus reducing peak memory use.
*/
list<State *> work_queue;
work_queue.push_back(start);
while (!work_queue.empty()) {
if (i % 1000 == 0 && (flags & DFA_DUMP_PROGRESS))
fprintf(stderr, "\033[2KCreating dfa: queue %ld\tstates %ld\teliminated duplicates %d\r", work_queue.size(), states.size(), stats.duplicates);
i++;
State *from = work_queue.front();
work_queue.pop_front();
/* Update 'from's transitions, and if it transitions to any
* unknown State create it and add it to the work_queue
*/
update_state_transitions(nodemap, work_queue, from, stats);
} /* for (NodeSet *nodes ... */
/* cleanup Sets of nodes used computing the DFA as they are no longer
* needed.
*/
for (depth_first_traversal i(root); i; i++) {
(*i)->firstpos.clear();
(*i)->lastpos.clear();
(*i)->followpos.clear();
}
if (flags & DFA_DUMP_NODE_TO_DFA)
dump_node_to_dfa();
for (NodeMap::iterator i = nodemap.begin(); i != nodemap.end(); i++)
delete i->first.second;
nodemap.clear();
if (flags & (DFA_DUMP_STATS))
fprintf(stderr, "\033[2KCreated dfa: states %ld,\teliminated duplicates %d,\tprotostate sets: longest %u, avg %u\n", states.size(), stats.duplicates, stats.proto_max, (unsigned int) (stats.proto_sum/states.size()));
}
DFA::~DFA()
{
for (Partition::iterator i = states.begin(); i != states.end(); i++)
delete *i;
}
void DFA::dump_uniq_perms(const char *s)
{
set < pair<uint32_t, uint32_t> > uniq;
for (Partition::iterator i = states.begin(); i != states.end(); i++)
uniq.insert(make_pair((*i)->accept, (*i)->audit));
cerr << "Unique Permission sets: " << s << " (" << uniq.size() << ")\n";
cerr << "----------------------\n";
for (set< pair<uint32_t, uint32_t> >::iterator i = uniq.begin();
i != uniq.end(); i++) {
cerr << " " << hex << i->first << " " << i->second << dec <<"\n";
}
}
/* Remove dead or unreachable states */
void DFA::remove_unreachable(dfaflags_t flags)
{
set <State *> reachable;
list <State *> work_queue;
/* find the set of reachable states */
reachable.insert(nonmatching);
work_queue.push_back(start);
while (!work_queue.empty()) {
State *from = work_queue.front();
work_queue.pop_front();
reachable.insert(from);
if (from->cases.otherwise &&
(reachable.find(from->cases.otherwise) == reachable.end()))
work_queue.push_back(from->cases.otherwise);
for (Cases::iterator j = from->cases.begin();
j != from->cases.end(); j++) {
if (reachable.find(j->second) == reachable.end())
work_queue.push_back(j->second);
}
}
/* walk the set of states and remove any that aren't reachable */
if (reachable.size() < states.size()) {
int count = 0;
Partition::iterator i;
Partition::iterator next;
for (i = states.begin(); i != states.end(); i = next) {
next = i;
next++;
if (reachable.find(*i) == reachable.end()) {
if (flags & DFA_DUMP_UNREACHABLE) {
cerr << "unreachable: "<< **i;
if (*i == start)
cerr << " <==";
if ((*i)->accept) {
cerr << " (0x" << hex << (*i)->accept
<< " " << (*i)->audit << dec << ')';
}
cerr << endl;
}
State *current = *i;
states.erase(i);
delete(current);
count++;
}
}
if (count && (flags & DFA_DUMP_STATS))
cerr << "DFA: states " << states.size() << " removed "
<< count << " unreachable states\n";
}
}
/* test if two states have the same transitions under partition_map */
bool DFA::same_mappings(State *s1, State *s2)
{
if (s1->cases.otherwise && s1->cases.otherwise != nonmatching) {
if (!s2->cases.otherwise || s2->cases.otherwise == nonmatching)
return false;
Partition *p1 = s1->cases.otherwise->partition;
Partition *p2 = s2->cases.otherwise->partition;
if (p1 != p2)
return false;
} else if (s2->cases.otherwise && s2->cases.otherwise != nonmatching) {
return false;
}
if (s1->cases.cases.size() != s2->cases.cases.size())
return false;
for (Cases::iterator j1 = s1->cases.begin(); j1 != s1->cases.end();
j1++){
Cases::iterator j2 = s2->cases.cases.find(j1->first);
if (j2 == s2->cases.end())
return false;
Partition *p1 = j1->second->partition;
Partition *p2 = j2->second->partition;
if (p1 != p2)
return false;
}
return true;
}
/* Do simple djb2 hashing against a States transition cases
* this provides a rough initial guess at state equivalence as if a state
* has a different number of transitions or has transitions on different
* cases they will never be equivalent.
* Note: this only hashes based off of the alphabet (not destination)
* as different destinations could end up being equiv
*/
size_t DFA::hash_trans(State *s)
{
unsigned long hash = 5381;
for (Cases::iterator j = s->cases.begin(); j != s->cases.end(); j++){
hash = ((hash << 5) + hash) + j->first;
State *k = j->second;
hash = ((hash << 5) + hash) + k->cases.cases.size();
}
if (s->cases.otherwise && s->cases.otherwise != nonmatching) {
hash = ((hash << 5) + hash) + 5381;
State *k = s->cases.otherwise;
hash = ((hash << 5) + hash) + k->cases.cases.size();
}
hash = (hash << 8) | s->cases.cases.size();
return hash;
}
/* minimize the number of dfa states */
void DFA::minimize(dfaflags_t flags)
{
map <pair <uint64_t, size_t>, Partition *> perm_map;
list <Partition *> partitions;
/* Set up the initial partitions
* minimium of - 1 non accepting, and 1 accepting
* if trans hashing is used the accepting and non-accepting partitions
* can be further split based on the number and type of transitions
* a state makes.
* If permission hashing is enabled the accepting partitions can
* be further divided by permissions. This can result in not
* obtaining a truely minimized dfa but comes close, and can speedup
* minimization.
*/
int accept_count = 0;
int final_accept = 0;
for (Partition::iterator i = states.begin(); i != states.end(); i++) {
uint64_t perm_hash = 0;
if (flags & DFA_CONTROL_MINIMIZE_HASH_PERMS) {
/* make every unique perm create a new partition */
perm_hash = ((uint64_t)(*i)->audit)<<32 |
(uint64_t)(*i)->accept;
} else if ((*i)->audit || (*i)->accept) {
/* combine all perms together into a single parition */
perm_hash = 1;
} /* else not an accept state so 0 for perm_hash */
size_t trans_hash = 0;
if (flags & DFA_CONTROL_MINIMIZE_HASH_TRANS)
trans_hash = hash_trans(*i);
pair <uint64_t, size_t> group = make_pair(perm_hash, trans_hash);
map <pair <uint64_t, size_t>, Partition *>::iterator p = perm_map.find(group);
if (p == perm_map.end()) {
Partition *part = new Partition();
part->push_back(*i);
perm_map.insert(make_pair(group, part));
partitions.push_back(part);
(*i)->partition = part;
if (perm_hash)
accept_count++;
} else {
(*i)->partition = p->second;
p->second->push_back(*i);
}
if ((flags & DFA_DUMP_PROGRESS) &&
(partitions.size() % 1000 == 0))
cerr << "\033[2KMinimize dfa: partitions " << partitions.size() << "\tinit " << partitions.size() << " (accept " << accept_count << ")\r";
}
/* perm_map is no longer needed so free the memory it is using.
* Don't remove - doing it manually here helps reduce peak memory usage.
*/
perm_map.clear();
int init_count = partitions.size();
if (flags & DFA_DUMP_PROGRESS)
cerr << "\033[2KMinimize dfa: partitions " << partitions.size() << "\tinit " << init_count << " (accept " << accept_count << ")\r";
/* Now do repartitioning until each partition contains the set of
* states that are the same. This will happen when the partition
* splitting stables. With a worse case of 1 state per partition
* ie. already minimized.
*/
Partition *new_part;
int new_part_count;
do {
new_part_count = 0;
for (list <Partition *>::iterator p = partitions.begin();
p != partitions.end(); p++) {
new_part = NULL;
State *rep = *((*p)->begin());
Partition::iterator next;
for (Partition::iterator s = ++(*p)->begin();
s != (*p)->end(); ) {
if (same_mappings(rep, *s)) {
++s;
continue;
}
if (!new_part) {
new_part = new Partition;
list <Partition *>::iterator tmp = p;
partitions.insert(++tmp, new_part);
new_part_count++;
}
new_part->push_back(*s);
s = (*p)->erase(s);
}
/* remapping partition_map for new_part entries
* Do not do this above as it messes up same_mappings
*/
if (new_part) {
for (Partition::iterator m = new_part->begin();
m != new_part->end(); m++) {
(*m)->partition = new_part;
}
}
if ((flags & DFA_DUMP_PROGRESS) &&
(partitions.size() % 100 == 0))
cerr << "\033[2KMinimize dfa: partitions " << partitions.size() << "\tinit " << init_count << " (accept " << accept_count << ")\r";
}
} while(new_part_count);
if (partitions.size() == states.size()) {
if (flags & DFA_DUMP_STATS)
cerr << "\033[2KDfa minimization no states removed: partitions " << partitions.size() << "\tinit " << init_count << " (accept " << accept_count << ")\n";
goto out;
}
/* Remap the dfa so it uses the representative states
* Use the first state of a partition as the representative state
* At this point all states with in a partion have transitions
* to states within the same partitions, however this can slow
* down compressed dfa compression as there are more states,
*/
for (list <Partition *>::iterator p = partitions.begin();
p != partitions.end(); p++) {
/* representative state for this partition */
State *rep = *((*p)->begin());
/* update representative state's transitions */
if (rep->cases.otherwise) {
Partition *partition = rep->cases.otherwise->partition;
rep->cases.otherwise = *partition->begin();
}
for (Cases::iterator c = rep->cases.begin();
c != rep->cases.end(); c++) {
Partition *partition = c->second->partition;
c->second = *partition->begin();
}
//if ((*p)->size() > 1)
//cerr << rep->label << ": ";
/* clear the state label for all non representative states,
* and accumulate permissions */
for (Partition::iterator i = ++(*p)->begin(); i != (*p)->end(); i++) {
//cerr << " " << (*i)->label;
(*i)->label = -1;
rep->accept |= (*i)->accept;
rep->audit |= (*i)->audit;
}
if (rep->accept || rep->audit)
final_accept++;
//if ((*p)->size() > 1)
//cerr << "\n";
}
if (flags & DFA_DUMP_STATS)
cerr << "\033[2KMinimized dfa: final partitions " << partitions.size() << " (accept " << final_accept << ")" << "\tinit " << init_count << " (accept " << accept_count << ")\n";
/* make sure nonmatching and start state are up to date with the
* mappings */
{
Partition *partition = nonmatching->partition;
if (*partition->begin() != nonmatching) {
nonmatching = *partition->begin();
}
partition = start->partition;
if (*partition->begin() != start) {
start = *partition->begin();
}
}
/* Now that the states have been remapped, remove all states
* that are not the representive states for their partition, they
* will have a label == -1
*/
for (Partition::iterator i = states.begin(); i != states.end(); ) {
if ((*i)->label == -1) {
State *s = *i;
i = states.erase(i);
delete(s);
} else
i++;
}
out:
/* Cleanup */
while (!partitions.empty()) {
Partition *p = partitions.front();
partitions.pop_front();
delete(p);
}
}
/**
* text-dump the DFA (for debugging).
*/
void DFA::dump(ostream& os)
{
for (Partition::iterator i = states.begin(); i != states.end(); i++) {
if (*i == start || (*i)->accept) {
os << **i;
if (*i == start)
os << " <==";
if ((*i)->accept) {
os << " (0x" << hex << (*i)->accept << " " << (*i)->audit << dec << ')';
}
os << endl;
}
}
os << endl;
for (Partition::iterator i = states.begin(); i != states.end(); i++) {
if ((*i)->cases.otherwise)
os << **i << " -> " << (*i)->cases.otherwise << endl;
for (Cases::iterator j = (*i)->cases.begin(); j != (*i)->cases.end(); j++) {
os << **i << " -> " << j->second << ": " << j->first << endl;
}
}
os << endl;
}
/**
* Create a dot (graphviz) graph from the DFA (for debugging).
*/
void DFA::dump_dot_graph(ostream& os)
{
os << "digraph \"dfa\" {" << endl;
for (Partition::iterator i = states.begin(); i != states.end(); i++) {
if (*i == nonmatching)
continue;
os << "\t\"" << **i << "\" [" << endl;
if (*i == start) {
os << "\t\tstyle=bold" << endl;
}
uint32_t perms = (*i)->accept;
if (perms) {
os << "\t\tlabel=\"" << **i << "\\n("
<< perms << ")\"" << endl;
}
os << "\t]" << endl;
}
for (Partition::iterator i = states.begin(); i != states.end(); i++) {
Cases& cases = (*i)->cases;
Chars excluded;
for (Cases::iterator j = cases.begin(); j != cases.end(); j++) {
if (j->second == nonmatching)
excluded.insert(j->first);
else {
os << "\t\"" << **i << "\" -> \"";
os << j->second << "\" [" << endl;
os << "\t\tlabel=\"" << j->first << "\"" << endl;
os << "\t]" << endl;
}
}
if (cases.otherwise && cases.otherwise != nonmatching) {
os << "\t\"" << **i << "\" -> \"" << cases.otherwise
<< "\" [" << endl;
if (!excluded.empty()) {
os << "\t\tlabel=\"[^";
for (Chars::iterator i = excluded.begin();
i != excluded.end();
i++) {
os << *i;
}
os << "]\"" << endl;
}
os << "\t]" << endl;
}
}
os << '}' << endl;
}
/**
* Compute character equivalence classes in the DFA to save space in the
* transition table.
*/
map<uchar, uchar> DFA::equivalence_classes(dfaflags_t flags)
{
map<uchar, uchar> classes;
uchar next_class = 1;
for (Partition::iterator i = states.begin(); i != states.end(); i++) {
Cases& cases = (*i)->cases;
/* Group edges to the same next state together */
map<const State *, Chars> node_sets;
for (Cases::iterator j = cases.begin(); j != cases.end(); j++)
node_sets[j->second].insert(j->first);
for (map<const State *, Chars>::iterator j = node_sets.begin();
j != node_sets.end();
j++) {
/* Group edges to the same next state together by class */
map<uchar, Chars> node_classes;
bool class_used = false;
for (Chars::iterator k = j->second.begin();
k != j->second.end();
k++) {
pair<map<uchar, uchar>::iterator, bool> x =
classes.insert(make_pair(*k, next_class));
if (x.second)
class_used = true;
pair<map<uchar, Chars>::iterator, bool> y =
node_classes.insert(make_pair(x.first->second, Chars()));
y.first->second.insert(*k);
}
if (class_used) {
next_class++;
class_used = false;
}
for (map<uchar, Chars>::iterator k = node_classes.begin();
k != node_classes.end();
k++) {
/**
* If any other characters are in the same class, move
* the characters in this class into their own new class
*/
map<uchar, uchar>::iterator l;
for (l = classes.begin(); l != classes.end(); l++) {
if (l->second == k->first &&
k->second.find(l->first) == k->second.end()) {
class_used = true;
break;
}
}
if (class_used) {
for (Chars::iterator l = k->second.begin();
l != k->second.end();
l++) {
classes[*l] = next_class;
}
next_class++;
class_used = false;
}
}
}
}
if (flags & DFA_DUMP_EQUIV_STATS)
fprintf(stderr, "Equiv class reduces to %d classes\n", next_class - 1);
return classes;
}
/**
* Text-dump the equivalence classes (for debugging).
*/
void dump_equivalence_classes(ostream& os, map<uchar, uchar>& eq)
{
map<uchar, Chars> rev;
for (map<uchar, uchar>::iterator i = eq.begin(); i != eq.end(); i++) {
Chars& chars = rev.insert(make_pair(i->second,
Chars())).first->second;
chars.insert(i->first);
}
os << "(eq):" << endl;
for (map<uchar, Chars>::iterator i = rev.begin(); i != rev.end(); i++) {
os << (int)i->first << ':';
Chars& chars = i->second;
for (Chars::iterator j = chars.begin(); j != chars.end(); j++) {
os << ' ' << *j;
}
os << endl;
}
}
/**
* Replace characters with classes (which are also represented as
* characters) in the DFA transition table.
*/
void DFA::apply_equivalence_classes(map<uchar, uchar>& eq)
{
/**
* Note: We only transform the transition table; the nodes continue to
* contain the original characters.
*/
for (Partition::iterator i = states.begin(); i != states.end(); i++) {
map<uchar, State *> tmp;
tmp.swap((*i)->cases.cases);
for (Cases::iterator j = tmp.begin(); j != tmp.end(); j++)
(*i)->cases.cases.insert(make_pair(eq[j->first], j->second));
}
}
#if 0
typedef set<ImportantNode *> AcceptNodes;
map<ImportantNode *, AcceptNodes> dominance(DFA& dfa)
{
map<ImportantNode *, AcceptNodes> is_dominated;
for (States::iterator i = dfa.states.begin(); i != dfa.states.end(); i++) {
AcceptNodes set1;
for (State::iterator j = (*i)->begin(); j != (*i)->end(); j++) {
if (AcceptNode *accept = dynamic_cast<AcceptNode *>(*j))
set1.insert(accept);
}
for (AcceptNodes::iterator j = set1.begin(); j != set1.end(); j++) {
pair<map<ImportantNode *, AcceptNodes>::iterator, bool> x =
is_dominated.insert(make_pair(*j, set1));
if (!x.second) {
AcceptNodes &set2(x.first->second), set3;
for (AcceptNodes::iterator l = set2.begin();
l != set2.end();
l++) {
if (set1.find(*l) != set1.end())
set3.insert(*l);
}
set3.swap(set2);
}
}
}
return is_dominated;
}
#endif
static inline int diff_qualifiers(uint32_t perm1, uint32_t perm2)
{
return ((perm1 & AA_EXEC_TYPE) && (perm2 & AA_EXEC_TYPE) &&
(perm1 & AA_EXEC_TYPE) != (perm2 & AA_EXEC_TYPE));
}
/**
* Compute the permission flags that this state corresponds to. If we
* have any exact matches, then they override the execute and safe
* execute flags.
*/
uint32_t accept_perms(NodeSet *state, uint32_t *audit_ctl, int *error)
{
uint32_t perms = 0, exact_match_perms = 0, audit = 0, exact_audit = 0,
quiet = 0, deny = 0;
if (error)
*error = 0;
for (NodeSet::iterator i = state->begin(); i != state->end(); i++) {
MatchFlag *match;
if (!(match= dynamic_cast<MatchFlag *>(*i)))
continue;
if (dynamic_cast<ExactMatchFlag *>(match)) {
/* exact match only ever happens with x */
if (!is_merged_x_consistent(exact_match_perms,
match->flag) && error)
*error = 1;;
exact_match_perms |= match->flag;
exact_audit |= match->audit;
} else if (dynamic_cast<DenyMatchFlag *>(match)) {
deny |= match->flag;
quiet |= match->audit;
} else {
if (!is_merged_x_consistent(perms, match->flag) && error)
*error = 1;
perms |= match->flag;
audit |= match->audit;
}
}
//if (audit || quiet)
//fprintf(stderr, "perms: 0x%x, audit: 0x%x exact: 0x%x eaud: 0x%x deny: 0x%x quiet: 0x%x\n", perms, audit, exact_match_perms, exact_audit, deny, quiet);
perms |= exact_match_perms &
~(AA_USER_EXEC_TYPE | AA_OTHER_EXEC_TYPE);
if (exact_match_perms & AA_USER_EXEC_TYPE) {
perms = (exact_match_perms & AA_USER_EXEC_TYPE) |
(perms & ~AA_USER_EXEC_TYPE);
audit = (exact_audit & AA_USER_EXEC_TYPE) |
(audit & ~ AA_USER_EXEC_TYPE);
}
if (exact_match_perms & AA_OTHER_EXEC_TYPE) {
perms = (exact_match_perms & AA_OTHER_EXEC_TYPE) |
(perms & ~AA_OTHER_EXEC_TYPE);
audit = (exact_audit & AA_OTHER_EXEC_TYPE) |
(audit & ~AA_OTHER_EXEC_TYPE);
}
if (perms & AA_USER_EXEC & deny)
perms &= ~AA_USER_EXEC_TYPE;
if (perms & AA_OTHER_EXEC & deny)
perms &= ~AA_OTHER_EXEC_TYPE;
perms &= ~deny;
if (audit_ctl)
*audit_ctl = PACK_AUDIT_CTL(audit, quiet & deny);
// if (perms & AA_ERROR_BIT) {
// fprintf(stderr, "error bit 0x%x\n", perms);
// exit(255);
//}
//if (perms & AA_EXEC_BITS)
//fprintf(stderr, "accept perm: 0x%x\n", perms);
/*
if (perms & ~AA_VALID_PERMS)
yyerror(_("Internal error accumulated invalid perm 0x%llx\n"), perms);
*/
//if (perms & AA_CHANGE_HAT)
// fprintf(stderr, "change_hat 0x%x\n", perms);
if (*error)
fprintf(stderr, "profile has merged rule with conflicting x modifiers\n");
return perms;
}