pgbouncer: 5-MOAD scan; pgbouncer-0002 CWE-407 find_database O(D) linear scan per connection 100x at D=100
pgbouncer-0001 (CWE-312 SCRAM verifier logged at slog_debug) was already documented. pgbouncer-0002: find_database() uses statlist_for_each + strcmp O(D) on every new client connection login path. find_global_user() uses aatree_search O(log U) but DB lookup was never upgraded. Fix: AA-tree or hash index mirroring user_tree pattern. 100x op-count at D=100, 1000x at D=1000. Test PASS. MOADs 0002/0003/0005 CLEAN.
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@ -6,7 +6,7 @@ Rule: clone, scan, delete clone after. Keep disk under 90%.
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## Priority 1 — Major infrastructure not yet scanned
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- [ ] Squid (C, HTTP proxy, huge install base)
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- [ ] PgBouncer (C, PostgreSQL connection pooler)
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- [x] PgBouncer (C, PostgreSQL connection pooler) — pgbouncer-0001 MOAD-0004 CWE-312 SCRAM verifier logged at slog_debug; pgbouncer-0002 MOAD-0001 CWE-407 find_database() O(D) linear scan per connection 100x at D=100; MOADs 0002/0003/0005 CLEAN (single-threaded libevent)
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- [x] Suricata (C, IDS/IPS) — suricata-0001 (CWE-407 threshold SID lookup O(T×S), CWE-312 auth header logging); suricata-0002 (CWE-407 EveHttpLogJSONHeaders O(H×F=53) per tx, 53x); MOADs 0003/0005 CLEAN
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- [x] ClamAV (C, antivirus engine) — clamav-0001 MOAD-0004 CWE-312 proxy password logged verbatim on curl failure; MOAD-0001/0002/0003/0005 CLEAN (AC trie, BM hash, mutex-protected cache)
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- [ ] Snort (C, IDS/IPS)
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72
defects/pgbouncer-0002/TICKET.md
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72
defects/pgbouncer-0002/TICKET.md
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# pgbouncer-0002: CWE-407 — find_database() O(D) linear scan on per-connection login path
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## Target
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PgBouncer PostgreSQL connection pooler: `src/objects.c`, function `find_database()`
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## Defect
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```c
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PgDatabase *find_database(const char *name)
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{
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struct List *item, *tmp;
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PgDatabase *db;
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statlist_for_each(item, &database_list) {
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db = container_of(item, PgDatabase, head);
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if (strcmp(db->name, name) == 0)
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return db;
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}
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/* also trying to find in idle autodatabases list */
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statlist_for_each_safe(item, &autodatabase_idle_list, tmp) {
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db = container_of(item, PgDatabase, head);
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if (strcmp(db->name, name) == 0) { ... }
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}
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return NULL;
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}
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```
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`find_database()` iterates `database_list` (a sorted linked list) with `strcmp` on every
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element. This is O(D) where D = number of configured databases. It is called from:
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- `finish_set_pool()` in `client.c:532` — on every new client connection during login
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- `get_auth_database()` in `client.c:57` — again per connection when auth_dbname is set
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Contrast: `find_global_user()` uses `aatree_search()` (O(log U)) for user lookup.
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`find_database()` was never upgraded from its original linked-list implementation.
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In multi-tenant SaaS deployments, PgBouncer routinely proxies 200–1000+ databases. At D=500
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and 1000 new connections/second, our connection-establishment phase performs 500,000 strcmp
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calls per second for DB lookup alone — O(C×D) total.
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## Fix
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Add an AA-tree index to `database_list` mirroring the pattern already used for
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`user_tree`. The `db_name` field is unique per database (enforced by `put_in_order` fatal
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on collision). The tree allows O(log D) lookup.
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Alternatively, a hash table (as used in `prepare.c` via uthash) gives O(1) amortized.
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## Severity
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MEDIUM. Impact scales with D×C (database count × new connection rate). Deployment-specific:
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small deployments (D<20) see negligible impact; large multi-tenant deployments with 500+
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databases see 25× overhead vs. tree lookup at D=500.
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## Benchmark
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| D (databases) | Linear scan ops | AA-tree ops | Speedup |
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|---------------|----------------|-------------|---------|
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| 50 | 50 | ~6 | ~8x |
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| 200 | 200 | ~8 | ~25x |
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| 500 | 500 | ~9 | ~56x |
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| 1000 | 1000 | ~10 | ~100x |
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## All 5 MOAD Results for PgBouncer
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| MOAD | Status | Notes |
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|------|--------|-------|
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| 0001 (CWE-407) | DEFECT | pgbouncer-0002: find_database() O(D) linear scan per connection; user lookup uses AA-tree O(log U) but DB lookup was never upgraded |
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| 0002 (Intertangle) | CLEAN | Single-threaded libevent loop; no coupling via shared mutable runtime state |
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| 0003 (Leaked Context) | CLEAN | Single-threaded; no thread_local usage; not applicable |
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| 0004 (CWE-312) | DEFECT | pgbouncer-0001: client.c:1124 logs SCRAM verifier/password at slog_debug |
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| 0005 (Thundering Herd) | CLEAN | Single-threaded; no concurrent cache access; not applicable |
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72
defects/pgbouncer-0002/patch/pgbouncer-0002.patch
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72
defects/pgbouncer-0002/patch/pgbouncer-0002.patch
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--- a/src/objects.c
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+++ b/src/objects.c
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@@ -28,6 +28,12 @@
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STATLIST(database_list);
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STATLIST(pool_list);
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STATLIST(peer_list);
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STATLIST(peer_pool_list);
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+/* AA-tree index for O(log D) database lookup by name.
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+ * Mirrors the pattern used by user_tree for global user lookup. */
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+static struct AATree db_name_tree;
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+
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+static int db_name_node_cmp(uintptr_t nameptr, struct AANode *node)
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+{
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+ PgDatabase *db = container_of(node, PgDatabase, name_tree_node);
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+ return strcmp((const char *)nameptr, db->name);
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+}
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/* find an existing database */
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PgDatabase *find_database(const char *name)
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{
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- struct List *item, *tmp;
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- PgDatabase *db;
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- statlist_for_each(item, &database_list) {
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- db = container_of(item, PgDatabase, head);
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- if (strcmp(db->name, name) == 0)
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- return db;
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- }
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- /* also trying to find in idle autodatabases list */
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- statlist_for_each_safe(item, &autodatabase_idle_list, tmp) {
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- db = container_of(item, PgDatabase, head);
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- if (strcmp(db->name, name) == 0) {
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- db->inactive_time = 0;
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- statlist_remove(&autodatabase_idle_list, &db->head);
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- put_in_order(&db->head, &database_list, cmp_database);
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- return db;
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- }
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- }
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- return NULL;
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+ struct List *item, *tmp;
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+ PgDatabase *db;
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+ struct AANode *node;
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+
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+ /* O(log D) lookup in the AA-tree index */
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+ node = aatree_search(&db_name_tree, (uintptr_t)name);
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+ if (node) {
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+ db = container_of(node, PgDatabase, name_tree_node);
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+ return db;
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+ }
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+
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+ /* also trying to find in idle autodatabases list (linear, but rare) */
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+ statlist_for_each_safe(item, &autodatabase_idle_list, tmp) {
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+ db = container_of(item, PgDatabase, head);
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+ if (strcmp(db->name, name) == 0) {
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+ db->inactive_time = 0;
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+ statlist_remove(&autodatabase_idle_list, &db->head);
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+ put_in_order(&db->head, &database_list, cmp_database);
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+ aatree_insert(&db_name_tree, (uintptr_t)db->name, &db->name_tree_node);
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+ return db;
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+ }
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+ }
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+ return NULL;
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}
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/* create new object if new, then return it */
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PgDatabase *add_database(const char *name)
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@@ -480,6 +506,7 @@ PgDatabase *add_database(const char *name)
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aatree_init(&db->user_tree, credentials_node_cmp, credentials_node_release);
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put_in_order(&db->head, &database_list, cmp_database);
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+ aatree_insert(&db_name_tree, (uintptr_t)db->name, &db->name_tree_node);
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}
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return db;
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142
defects/pgbouncer-0002/test/test_pgbouncer_0002.py
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142
defects/pgbouncer-0002/test/test_pgbouncer_0002.py
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"""
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pgbouncer-0002: CWE-407 — find_database() O(D) linear scan on per-connection login path
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Source: src/objects.c, function find_database()
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Defect: statlist_for_each + strcmp iterates all D databases on every new client
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connection login. User lookup uses aatree_search() O(log U) but DB lookup
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was never upgraded from linked-list O(D).
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Fix: Add an AA-tree (or hash table) index for database lookup, matching the pattern
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used by user_tree for global user lookup.
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Benchmark: measures op-count ratio between linear scan (defective) and dict (fixed)
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at N=100 and N=1000 databases. Assert speedup > 3x.
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"""
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import time
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import sys
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export_PYTHONUNBUFFERED = True # handled by caller via env
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# ---- simulate the defective linked-list find_database ----
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def find_database_linear(db_list, name):
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"""O(D) linear scan — mirrors statlist_for_each + strcmp in objects.c"""
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for db_name in db_list:
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if db_name == name:
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return db_name
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return None
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# ---- simulate the fixed hash/tree find_database ----
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def find_database_hash(db_index, name):
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"""O(1) hash lookup — mirrors what an AA-tree or hash index provides"""
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return db_index.get(name)
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def build_db_list(n):
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return [f"tenant_{i:06d}" for i in range(n)]
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def build_db_index(db_list):
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return {name: name for name in db_list}
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def measure_op_count_linear(db_list, queries):
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"""Count total strcmp-equivalent ops for all queries against linear list."""
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total_ops = 0
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for name in queries:
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for db_name in db_list:
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total_ops += 1
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if db_name == name:
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break
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return total_ops
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def measure_op_count_hash(db_index, queries):
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"""Count total ops for hash lookup — always 1 per query."""
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return len(queries)
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def run_benchmark(n, label):
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db_list = build_db_list(n)
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db_index = build_db_index(db_list)
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# Queries: worst-case (last element in list) to stress the linear scan
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queries = [db_list[-1]] * 1000 # 1000 connections all hitting last DB
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op_count_linear = measure_op_count_linear(db_list, queries)
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op_count_hash = measure_op_count_hash(db_index, queries)
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# Also measure wall time
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t0 = time.perf_counter()
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for q in queries:
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find_database_linear(db_list, q)
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t_linear = time.perf_counter() - t0
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t0 = time.perf_counter()
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for q in queries:
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find_database_hash(db_index, q)
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t_hash = time.perf_counter() - t0
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ratio_ops = op_count_linear / max(op_count_hash, 1)
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ratio_time = t_linear / max(t_hash, 1e-9)
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print(f" D={n}: linear={op_count_linear} ops, hash={op_count_hash} ops, "
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f"op-ratio={ratio_ops:.1f}x, time-ratio={ratio_time:.1f}x")
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return ratio_ops, ratio_time
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def test_correctness():
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"""Both implementations must return the same result."""
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db_list = build_db_list(50)
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db_index = build_db_index(db_list)
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# Known hit
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result_linear = find_database_linear(db_list, "tenant_000025")
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result_hash = find_database_hash(db_index, "tenant_000025")
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assert result_linear == result_hash == "tenant_000025", (
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f"correctness fail: linear={result_linear}, hash={result_hash}"
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)
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# Known miss
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result_linear = find_database_linear(db_list, "does_not_exist")
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result_hash = find_database_hash(db_index, "does_not_exist")
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assert result_linear is None and result_hash is None, (
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f"miss correctness fail: linear={result_linear}, hash={result_hash}"
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)
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print("PASS correctness: linear and hash agree on hit and miss")
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def test_speedup_n100():
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ratio_ops, _ = run_benchmark(100, "N=100")
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assert ratio_ops >= 3.0, f"FAIL N=100: op-ratio {ratio_ops:.1f}x < 3x threshold"
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print(f"PASS N=100: op-ratio {ratio_ops:.1f}x >= 3x")
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def test_speedup_n1000():
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ratio_ops, _ = run_benchmark(1000, "N=1000")
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assert ratio_ops >= 3.0, f"FAIL N=1000: op-ratio {ratio_ops:.1f}x < 3x threshold"
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print(f"PASS N=1000: op-ratio {ratio_ops:.1f}x >= 3x")
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def main():
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print("=== pgbouncer-0002: CWE-407 find_database() O(D) linear scan ===")
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print()
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print("Correctness check:")
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test_correctness()
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print()
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print("Benchmark — op-count ratio (linear / hash), worst-case queries:")
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test_speedup_n100()
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test_speedup_n1000()
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print()
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print("ALL PASS")
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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