diff --git a/detection/__main__.py b/detection/__main__.py
index ef59a08..9586c4d 100644
--- a/detection/__main__.py
+++ b/detection/__main__.py
@@ -1,3 +1,4 @@
+import json
 import os
 from typing import Dict, List, Tuple, Optional
 from reportlab.lib.pagesizes import letter
@@ -106,7 +107,11 @@ def generate_text_content(results: Dict[str, List[Tuple[int, str]]]) -> str:
     text_output += "=" * 30 + "\n\n"
 
     for risk_level, entries in results.items():
-        if entries and risk_level != "none":
+        if risk_level == "pickles":
+            text_output += f"Pickles:\n"
+            for i in entries:
+                text_output += f"  {i['file']}:{json.dumps(i['result'])}\n"
+        elif entries and risk_level != "none":
             risk_color = (
                 {
                     "high": Fore.RED,
@@ -139,6 +144,8 @@ def generate_text_content(results: Dict[str, List[Tuple[int, str]]]) -> str:
                 text_output += line_text
             text_output += "\n"
 
+
+
     return text_output
 
 
@@ -363,7 +370,7 @@ def checkModeAndDetect(mode: str, filePath: str, fileExtension: str, pycdc_addr:
 def process_path(
     path: str, output_format: str, mode: str, pycdc_addr: str, output_file=None
 ):
-    results = {"high": [], "medium": [], "low": [], "none": []}
+    results = {"high": [], "medium": [], "low": [], "none": [],"pickles": []}
     if os.path.isdir(path):
         # 使用rglob获取所有文件
         all_files = [
@@ -440,18 +447,9 @@ def main():
         help="Path to pycdc.exe to decompile",
         default=os.getenv("pycdc"),
     )
-    parser.add_argument(
-        "-P",
-        "--Pickle",
-        help="Path to pickle file to analyze",
-        default=None,
-    )
     args = parser.parse_args()
     output_format = "txt"  # Default output format
     output_file = None
-    if args.Pickle:
-        pickleDataDetection(args.Pickle, args.output)
-        return
     if args.output:
         _, ext = os.path.splitext(args.output)
         ext = ext.lower()