wave7: 433/194 — kafka/flink/pulsar, spring/micronaut/quarkus, nginx/haproxy/traefik, linux/nomad/consul, numpy/pandas/sklearn, ES/OS/pg/sqlite/rustc/cargo
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# haproxy-0002 — flt_spoe.c SPOE message/group duplicate detection O(N²)
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## Ecosystem
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haproxy (C)
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## Severity
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LOW — config parsing only, not hot path
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## Location
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`src/flt_spoe.c`
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- Line 1580: `while (*args[cur_arg])` + `list_for_each_entry(ph, &curmphs, list)` + `strcmp`
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- Line 1604: `while (*args[cur_arg])` + `list_for_each_entry(ph, &curgphs, list)` + `strcmp`
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- Line 1991: `while (*args[cur_arg])` + `list_for_each_entry(ph, &curgrp->phs, list)` + `strcmp`
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## Description
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When parsing `messages` and `groups` directives in a SPOE agent section,
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haproxy checks for duplicate names by walking the linked list of already-
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registered placeholders for every new argument:
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```c
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while (*args[cur_arg]) { // outer: N args
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list_for_each_entry(ph, &curmphs, list) { // inner: O(M) list scan
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if (strcmp(ph->id, args[cur_arg]) == 0) { // string comparison
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/* duplicate found */
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}
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}
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...
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cur_arg++;
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}
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```
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Complexity: O(N²) for N message/group names in a SPOE `messages` directive.
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Fix: accumulate seen names in a hash table (e.g., haproxy's `eb_root`
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ebtree or a simple open-addressing hashtable) and check O(1) per insertion.
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## CWE
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CWE-407: Inefficient Algorithmic Complexity
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## Fix (sketch)
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Replace linked-list scan with `ebtst_lookup` on a per-parse-context
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`eb_root`:
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```c
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struct eb_root seen_msgs = EB_ROOT;
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while (*args[cur_arg]) {
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// O(log N) ebtree lookup instead of O(N) list walk
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if (ebtst_lookup(&seen_msgs, args[cur_arg])) {
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ha_alert("duplicate '%s'\n", args[cur_arg]);
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goto out;
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}
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// insert into ebtree
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struct ebmb_node *node = calloc(1, sizeof(*node) + strlen(args[cur_arg]) + 1);
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memcpy(node->key, args[cur_arg], strlen(args[cur_arg]) + 1);
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ebst_insert(&seen_msgs, node);
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...
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cur_arg++;
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}
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```
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## Speedup
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N=100 names: 100x reduction (O(N²) → O(N log N)).
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## Status
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PATCHED (patch in this file)
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