WIP lakectf

2025/lake/misc/wordler/solve.py

@@ -0,0 +1,55 @@
+from pwn import *
+
+def get_word_lengths(raw_bytes):
+    # 1. Decode the bytes to a string
+    try:
+        decoded_output = raw_bytes.decode('utf-8')
+    except UnicodeDecodeError:
+        # Fallback if bytes are messy, though the provided input is valid utf-8
+        decoded_output = raw_bytes.decode('utf-8', errors='ignore')
+
+    print("--- Decoded Output ---")
+    print(decoded_output)
+    print("----------------------\n")
+
+    # 2. Find the line containing "Structure:"
+    structure_line = None
+    for line in decoded_output.splitlines():
+        if "Structure:" in line:
+            structure_line = line
+            break
+    
+    if not structure_line:
+        return "No 'Structure' line found."
+
+    # 3. Extract the pattern part (remove "Structure: " prefix)
+    # The split ensures we get everything after the colon and space
+    pattern_str = structure_line.split("Structure:")[1].strip()
+
+    # 4. Split by the underscore '_' which acts as the delimiter between words
+    word_segments = pattern_str.split('_')
+
+    # 5. Calculate lengths of each segment
+    word_lengths = [len(segment) for segment in word_segments]
+    
+    return word_lengths
+
+with remote("chall.polygl0ts.ch", 6052) as p:
+    structure = p.read()
+    lens = get_word_lengths(structure)
+
+    with open("./word_list.txt", "r") as f:
+        words = f.readlines()
+
+    word_dict = {}
+
+    for word in words:
+        if word_dict[len(word)]:
+
+            word_dict[len(word)].append(word)
+        else:
+            word_dict[len(word)] = [word]
+
+    for len in lens:
+        print(f"Num of words with len {len} in wordlist: {len(word_dict[len])}")
+