In the high-performance world of Go (Golang) development, understanding how your application uses memory is critical. While Go's garbage collector (GC) is highly efficient,, memory leaks, high memory usage, and poor allocation patterns can still cripple application performance.
When auditing legacy applications, logs are frequently saved in proprietary binary formats. xdumpgo can isolate specific offset ranges to extract plain text strings hidden within hex code:
// 4. Stream Processing // We create a slice of empty interfaces to hold raw pointers values := make([]interface{}, len(columns)) valuePtrs := make([]interface{}, len(columns)) for i := range columns valuePtrs[i] = &values[i] xdumpgo tutorial extra quality
If you are writing an exploit or a kernel patch, you need to turn raw binary fragments into an array format. xdumpgo -f python shellcode.bin Use code with caution.
Standard dumps change while you read them (the "moving target" problem). Enable OS-level process freezing: In the high-performance world of Go (Golang) development,
import ( "os" "runtime/debug" ) func dumpMemory() f, err := os.Create("heap.dump") if err != nil panic(err) defer f.Close() // Writes the current heap profile to the file debug.WriteHeapDump(f.Fd()) Use code with caution. Method 2: Using gcore (Linux)
dumper := NewSQLDumper(db, f)
Instead of a blind export, you can specify exactly which data to grab. This is useful for capturing recent logs or specific user records.
defer f.Close()
// writeInsert constructs and writes a single INSERT statement func (d *SQLDumper) writeInsert(table string, cols []string, vals []interface{}) error var sb strings.Builder
To continue your journey, dive into the official xdumpgo documentation at pkg.go.dev or explore the source code on its GitHub repository. Happy (quality) debugging! xdumpgo can isolate specific offset ranges to extract