refactor: replace bloom filter with map for deduplication

Bloom filter has false positive risk which can silently drop valid
scan results. Map provides exact deduplication with negligible memory
overhead at the scale of open ports (typically thousands, not millions).

core/icmp.go

@@ -328,8 +328,8 @@ func RunIcmp1(hostslist []string, conn *icmp.PacketConn, chanHosts chan string,
 	var endflag atomic.Bool
 	var listenerWg sync.WaitGroup
 
-	// 创建布隆过滤器用于去重（自动根据主机数量调整大小）
-	bloomFilter := NewBloomFilter(len(hostslist), 0.01)
+	// 去重集合：过滤重复的ICMP响应
+	seen := make(map[string]struct{}, len(hostslist))
 
 	// 启动监听协程
 	listenerWg.Add(1)
@@ -365,11 +365,10 @@ func RunIcmp1(hostslist []string, conn *icmp.PacketConn, chanHosts chan string,
 			if sourceIP != nil && !endflag.Load() {
 				ipStr := sourceIP.String()
 
-				// 使用布隆过滤器去重，过滤重复的ICMP响应和杂包
-				if bloomFilter.Contains(ipStr) {
+				if _, dup := seen[ipStr]; dup {
 					continue
 				}
-				bloomFilter.Add(ipStr)
+				seen[ipStr] = struct{}{}
 
 				livewg.Add(1)
 				select {