如何用VBA或Python解锁忘记密码的加密Excel工作簿m.xlsx?
Hey there, let's work through this Excel password headache together. I’ve helped folks with similar issues before, so here’s what you can try:
VBA Method: Unlock Without Relying on
THISWORKBOOK Your idea of using a new workbook to run code against m.xlsx is totally doable—you don’t need to "replace" THISWORKBOOK; instead, you’ll directly target the locked file via its path. Here’s a script that tries two approaches:
Sub UnlockWorkbookStructure() Dim targetPath As String Dim wb As Workbook ' Replace this with your full file path to m.xlsx targetPath = "C:\Your\Folder\Path\m.xlsx" ' First try: Directly open and unprotect (works for weaker protections) On Error Resume Next Set wb = Workbooks.Open(targetPath, Password:="") On Error GoTo 0 If Not wb Is Nothing Then wb.Unprotect Password:="" wb.Save wb.Close MsgBox "Success! Workbook unlocked." Else ' Fallback: Copy all sheets to a new workbook (bypasses structure protection) MsgBox "Direct unlock failed—creating an unlocked copy instead." Dim newWb As Workbook Set newWb = Workbooks.Add ' Copy every sheet from the locked workbook to the new one Dim ws As Worksheet For Each ws In GetObject(targetPath).Worksheets ws.Copy After:=newWb.Sheets(newWb.Sheets.Count) Next ws ' Delete the default blank sheet in the new workbook Application.DisplayAlerts = False newWb.Sheets(1).Delete Application.DisplayAlerts = True newWb.SaveAs "C:\Your\Folder\Path\Unlocked_m.xlsx" newWb.Close MsgBox "Unlocked copy saved successfully!" End If End Sub
- How to use: Open a blank Excel workbook, press
Alt + F11to open the VBA editor, insert a new module, paste this code, update the file paths, and run it. - Note: This works for workbook structure protection (e.g., can’t add/delete sheets). If your file requires a password just to open it (full encryption), this won’t work.
Python Method: Modify the Excel File’s Underlying XML
Excel files are just zipped folders with XML files inside. For structure-protected workbooks, we can remove the protection tag directly from the XML without opening the file in Excel. Here’s a Python script to do that:
import zipfile import os import shutil import re def unlock_excel_workbook(file_path): # Create a temporary folder to extract the Excel contents temp_dir = "temp_excel_unlock" os.makedirs(temp_dir, exist_ok=True) # Unzip the Excel file into the temp folder with zipfile.ZipFile(file_path, 'r') as zip_ref: zip_ref.extractall(temp_dir) # Locate and modify the workbook.xml file workbook_xml = os.path.join(temp_dir, "xl", "workbook.xml") with open(workbook_xml, 'r') as f: content = f.read() # Remove the workbookProtection tag that enforces structure locks content = re.sub(r'<workbookProtection[^>]+>', '', content) with open(workbook_xml, 'w') as f: f.write(content) # Repackage the contents into a new unlocked Excel file unlocked_filename = f"unlocked_{os.path.basename(file_path)}" with zipfile.ZipFile(unlocked_filename, 'w', zipfile.ZIP_DEFLATED) as zip_ref: for root, _, files in os.walk(temp_dir): for file in files: file_path_in_temp = os.path.join(root, file) relative_path = os.path.relpath(file_path_in_temp, temp_dir) zip_ref.write(file_path_in_temp, relative_path) # Clean up the temporary folder shutil.rmtree(temp_dir) print(f"Unlocked file saved as: {unlocked_filename}") # Replace this with your actual file path unlock_excel_workbook("C:\\Your\\Folder\\Path\\m.xlsx")
- Key notes: This only bypasses structure protection. If your file is fully encrypted (requires a password to open), this method won’t work—full encryption locks the entire zip package, not just individual XML files.
- Always back up your original
m.xlsxbefore running this!
Important Caveats
- If you’re dealing with a password required to open the file (full encryption), these methods won’t help. Brute-forcing such passwords is slow, unreliable, and may violate terms of service or laws—your best bet is to try to recall the password or use a dedicated (legal) password recovery tool if you have proper ownership.
- Always test these methods on a copy of your file first to avoid data loss.
内容的提问来源于stack exchange,提问作者Ray




