diff --git a/2025/lake/misc/illegal_download/c_ki_7_taspe__prod._anate.mp3 b/2025/lake/misc/illegal_download/c_ki_7_taspe__prod._anate.mp3
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diff --git a/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3 b/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3
new file mode 120000
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--- /dev/null
+++ b/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3
@@ -0,0 +1 @@
+/home/cato/ctf/2025/lake/misc/illegal_download/c_ki_7_taspe__prod._anate.mp3
\ No newline at end of file
diff --git a/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3.extracted/10A/diff.png b/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3.extracted/10A/diff.png
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diff --git a/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3.extracted/10A/image.jpg b/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3.extracted/10A/image.jpg
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diff --git a/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3.extracted/10A/morse.md b/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3.extracted/10A/morse.md
new file mode 100644
index 0000000..2fb58cd
--- /dev/null
+++ b/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3.extracted/10A/morse.md
@@ -0,0 +1,3 @@
+the fucking diff is morse code
+
+W3LL_1_H0P3_
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diff --git a/2025/lake/misc/wordler/.python-version b/2025/lake/misc/wordler/.python-version
new file mode 100644
index 0000000..e4fba21
--- /dev/null
+++ b/2025/lake/misc/wordler/.python-version
@@ -0,0 +1 @@
+3.12
diff --git a/2025/lake/misc/wordler/gemini_alone.py b/2025/lake/misc/wordler/gemini_alone.py
new file mode 100644
index 0000000..21919fe
--- /dev/null
+++ b/2025/lake/misc/wordler/gemini_alone.py
@@ -0,0 +1,313 @@
+from pwn import *
+import z3
+import re
+import os
+from collections import defaultdict
+
+# --- Configuration ---
+# Update these if the challenge parameters change
+HOST = "chall.polygl0ts.ch"
+PORT = 6052
+WORDLIST_PATH = "word_list.txt"
+
+context.log_level = 'info'
+
+def get_word_lengths(raw_bytes):
+ """Parses the initial 'Structure: ...' line to get word lengths."""
+ try:
+ decoded = raw_bytes.decode('utf-8', errors='ignore')
+ except:
+ return []
+
+ # Look for the visual structure line
+ for line in decoded.splitlines():
+ if "Structure:" in line:
+ # Example: Structure: ■■■■■_■■■■
+ pattern_str = line.split("Structure:")[1].strip()
+ word_segments = pattern_str.split('_')
+ # Length is number of block characters (or just length of segment if stripped)
+ # UTF-8 block is 3 bytes, but decoded string is 1 char.
+ return [len(segment) for segment in word_segments]
+ return []
+
+def load_wordlist(path):
+ """Loads wordlist into a dictionary keyed by length."""
+ if not os.path.exists(path):
+ log.error(f"Wordlist {path} not found!")
+ exit(1)
+
+ words_by_len = defaultdict(list)
+ with open(path, 'r', encoding='utf-8', errors='ignore') as f:
+ for line in f:
+ w = line.strip().lower()
+ if w:
+ words_by_len[len(w)].append(w)
+ return words_by_len
+
+def parse_ansi_feedback(raw_bytes):
+ """Extracts (color, char) tuples from ANSI output."""
+ try:
+ decoded = raw_bytes.decode('utf-8', errors='ignore')
+ except:
+ return []
+
+ # Heuristic: Find the line with ANSI codes and underscores
+ lines = decoded.splitlines()
+ target_line = ""
+ for line in lines:
+ if "\x1b[" in line and "_" in line:
+ target_line = line.strip()
+ break
+
+ # If heuristic fails, scan whole block
+ if not target_line:
+ target_line = decoded
+
+ raw_segments = target_line.split('_')
+ parsed_segments = []
+ # Matches ANSI code and the letter immediately after
+ ansi_pattern = re.compile(r'\x1b\[(\d+)m([A-Z])')
+
+ for raw_seg in raw_segments:
+ matches = ansi_pattern.findall(raw_seg)
+ if matches:
+ parsed_segments.append(matches)
+
+ return parsed_segments
+
+def analyze_global_constraints(all_segments):
+ """
+ Returns constraints for *this specific guess result*.
+ Format: {char: {'min': k, 'max': k or None}}
+ """
+ all_entries = [item for seg in all_segments for item in seg]
+ char_data = defaultdict(lambda: {'92': 0, '93': 0, '90': 0})
+
+ for color, char in all_entries:
+ char_data[char.lower()][color] += 1
+
+ constraints = {}
+ for char, counts in char_data.items():
+ greens = counts['92']
+ yellows = counts['93']
+ greys = counts['90']
+
+ required = greens + yellows
+
+ if greys > 0:
+ # If we see a grey, the count is exact
+ constraints[char] = {'min': required, 'max': required}
+ else:
+ # If no grey, we only know the minimum
+ constraints[char] = {'min': required, 'max': None}
+ return constraints
+
+def filter_candidates(current_lists, segments, global_cons):
+ """
+ Filters the *existing* candidate lists based on positional feedback (Green/Yellow/Grey).
+ This reduces the search space for Z3 significantly.
+ """
+ new_lists = []
+
+ # Identify chars that are globally forbidden (max count is 0)
+ forbidden_chars = {c for c, lim in global_cons.items() if lim['max'] == 0}
+
+ for i, seg in enumerate(segments):
+ # 1. Build Local Constraints for this slot
+ local_fixed = {} # Index -> Char (Green)
+ local_not_at = [] # (Index, Char) (Yellow or Grey)
+
+ for idx, (color, char) in enumerate(seg):
+ c = char.lower()
+ if color == '92': # Green
+ local_fixed[idx] = c
+ elif color == '93': # Yellow
+ local_not_at.append((idx, c))
+ elif color == '90': # Grey
+ # Grey in Wordle means "not at this position" locally
+ local_not_at.append((idx, c))
+
+ # 2. Apply to current candidates
+ filtered = []
+ for w in current_lists[i]:
+ # A. Global Forbidden Check
+ if any(c in forbidden_chars for c in w): continue
+
+ # B. Green Check (Must match exact position)
+ if any(w[pos] != char for pos, char in local_fixed.items()): continue
+
+ # C. Yellow/Grey Check (Must NOT be at this position)
+ if any(w[pos] == char for pos, char in local_not_at): continue
+
+ filtered.append(w)
+
+ new_lists.append(filtered)
+ log.info(f"Slot {i+1}: Candidates reduced from {len(current_lists[i])} to {len(filtered)}")
+
+ return new_lists
+
+def solve_with_z3(candidate_lists, global_constraints):
+ """
+ Uses Z3 to pick one word from each candidate list such that their combined
+ letter counts satisfy the global_constraints.
+ """
+ s = z3.Solver()
+ selected_flags = []
+
+ # 1. Create variables: One boolean per candidate word
+ for slot_idx, words in enumerate(candidate_lists):
+ slot_flags = []
+ for word_idx, w in enumerate(words):
+ v = z3.Bool(f"s{slot_idx}_{word_idx}")
+ slot_flags.append(v)
+ selected_flags.append(slot_flags)
+
+ # Constraint: Select exactly one word per slot
+ s.add(z3.PbEq([(f, 1) for f in slot_flags], 1))
+
+ # 2. Add Global Count Constraints
+ # We sum the character counts of selected words
+ for char, limits in global_constraints.items():
+ terms = []
+
+ for slot_idx, words in enumerate(candidate_lists):
+ # Pre-calculate counts for efficiency
+ # If a word has 2 'e's, we add (2 * bool_var) to the sum
+ for w_idx, w in enumerate(words):
+ c_count = w.count(char)
+ if c_count > 0:
+ terms.append(z3.If(selected_flags[slot_idx][w_idx], c_count, 0))
+
+ if not terms:
+ # Edge case: If min > 0 but no candidates have the char -> UNSAT
+ if limits['min'] > 0:
+ s.add(False)
+ continue
+
+ total = z3.Sum(terms)
+
+ s.add(total >= limits['min'])
+ if limits['max'] is not None:
+ s.add(total <= limits['max'])
+
+ log.info("Z3: Solving for valid combination...")
+ if s.check() == z3.sat:
+ m = s.model()
+ result_words = []
+ for slot_idx, flags in enumerate(selected_flags):
+ for w_idx, f in enumerate(flags):
+ if z3.is_true(m[f]):
+ result_words.append(candidate_lists[slot_idx][w_idx])
+ break
+ return "_".join(result_words)
+ else:
+ return None
+
+def main():
+ # 1. Connect
+ r = remote(HOST, PORT)
+
+ # 2. Read Initial State
+ log.info("Reading initial structure...")
+ try:
+ initial_output = r.recvuntil(b"Your guess: ", timeout=5)
+ except:
+ initial_output = r.recv()
+
+ log.info(f"Initial Output: {initial_output.decode(errors='ignore')}")
+
+ # 3. Parse Lengths & Setup
+ lengths = get_word_lengths(initial_output)
+ if not lengths:
+ log.error("Could not parse word lengths! Check connection or format.")
+ return
+ log.success(f"Target Lengths: {lengths}")
+
+ word_dict = load_wordlist(WORDLIST_PATH)
+
+ # Initialize candidates for each slot based on length
+ candidates = []
+ for l in lengths:
+ if l in word_dict:
+ candidates.append(word_dict[l])
+ else:
+ log.error(f"No words of length {l} in wordlist!")
+ return
+
+ # Cumulative Global Constraints (start empty)
+ # format: {char: {'min': 0, 'max': None}}
+ cum_global_cons = defaultdict(lambda: {'min': 0, 'max': None})
+
+ # 4. Game Loop
+ # We loop until solved.
+ # First guess: Just pick the first word from each list (random start)
+ current_guess = "_".join([c[0] for c in candidates])
+
+ step = 0
+ while True:
+ step += 1
+ log.info(f"--- Round {step} ---")
+ log.info(f"Sending guess: {current_guess}")
+
+ r.sendline(current_guess.encode())
+
+ # Read response
+ try:
+ response = r.recvuntil(b"Your guess: ", timeout=2)
+ except:
+ # Connection might close on win, or lag
+ response = r.recvall(timeout=1)
+ if b"Correct" in response or b"Flag" in response or b"flag" in response:
+ log.success(f"WINNER! \n{response.decode(errors='ignore')}")
+ break
+ else:
+ log.info("Stream ended or timed out.")
+ log.info(response.decode(errors='ignore'))
+ break
+
+ # Check for Win text
+ if b"Correct!" in response:
+ log.success("Correct solution found!")
+ log.info(response.decode(errors='ignore'))
+ break
+
+ # 5. Process Feedback
+ segments = parse_ansi_feedback(response)
+ if not segments:
+ log.warning("Could not parse ANSI feedback. Retrying read...")
+ continue
+
+ # 6. Update Constraints & Candidates
+
+ # Update Globals (Accumulate)
+ new_globals = analyze_global_constraints(segments)
+ for char, limits in new_globals.items():
+ # Min can only go up (if we need at least 1, then at least 2...)
+ cum_global_cons[char]['min'] = max(cum_global_cons[char]['min'], limits['min'])
+
+ # Max can only go down (if max 3, then max 2...)
+ if limits['max'] is not None:
+ current_max = cum_global_cons[char]['max']
+ if current_max is None:
+ cum_global_cons[char]['max'] = limits['max']
+ else:
+ cum_global_cons[char]['max'] = min(current_max, limits['max'])
+
+ # Filter Candidates (Locals)
+ candidates = filter_candidates(candidates, segments, cum_global_cons)
+
+ if any(len(c) == 0 for c in candidates):
+ log.error("Empty candidate list! The correct word is missing from word_list.txt.")
+ break
+
+ # 7. Generate Next Guess using Z3
+ guess_str = solve_with_z3(candidates, cum_global_cons)
+
+ if not guess_str:
+ log.error("Z3 says UNSAT. Contradictory constraints or missing words.")
+ break
+
+ current_guess = guess_str
+
+if __name__ == "__main__":
+ main()
diff --git a/2025/lake/misc/wordler/gemini_solve.py b/2025/lake/misc/wordler/gemini_solve.py
new file mode 100644
index 0000000..dc929a0
--- /dev/null
+++ b/2025/lake/misc/wordler/gemini_solve.py
@@ -0,0 +1,247 @@
+import os
+import re
+from pwn import remote
+
+def get_word_lengths(input):
+
+ print("--- Decoded Output ---")
+ print(input)
+ print("----------------------\n")
+
+ # 2. Find the line containing "Structure:"
+ structure_line = None
+ for line in input.splitlines():
+ if "Structure:" in line:
+ structure_line = line
+ break
+
+ if not structure_line:
+ print("No 'Structure' line found.")
+ return []
+
+ # 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
+
+def get_word_dict(wordlist_path='wordlist.txt'):
+ """
+ Reads a wordlist file and suggests words that match the required lengths.
+ """
+ if not os.path.exists(wordlist_path):
+ print(f"Error: Wordlist file '{wordlist_path}' not found.")
+ print("Please create a file named 'wordlist.txt' with one word per line.")
+ return
+
+ print(f"\nReading wordlist from: {wordlist_path}")
+ try:
+ with open(wordlist_path, 'r', encoding='utf-8') as f:
+ # Clean words: remove whitespace and filter out empty lines
+ words = [line.strip() for line in f if line.strip()]
+ except Exception as e:
+ print(f"Error reading file: {e}")
+ return
+
+ # Group words by length for efficient lookup
+ words_by_len = {}
+ for w in words:
+ l = len(w)
+ if l not in words_by_len:
+ words_by_len[l] = []
+ words_by_len[l].append(w)
+
+ return words_by_len
+
+def parse_ansi_feedback(raw_bytes):
+ """
+ Parses the raw bytes containing ANSI codes to extract letters and their colors.
+ Returns a list of word_segments.
+ Each segment is a list of tuples: (char, color_code)
+ """
+ try:
+ decoded = raw_bytes.decode('utf-8')
+ except UnicodeDecodeError:
+ decoded = raw_bytes.decode('utf-8', errors='ignore')
+
+ print("--- Raw Decoded String ---")
+ print(decoded)
+ print("--------------------------")
+
+ # Split into word chunks based on the underscore
+ # We must be careful because the underscore is likely plain text between ANSI codes
+ raw_segments = decoded.strip().split('_')
+
+ parsed_segments = []
+
+ # Regex to find ANSI code and the character immediately following
+ # Matches: \x1b[93mU
+ ansi_pattern = re.compile(r'\x1b\[(\d+)m([A-Z])')
+
+ for raw_seg in raw_segments:
+ matches = ansi_pattern.findall(raw_seg)
+ if matches:
+ # matches is a list of ('93', 'U'), ('90', 'V'), etc.
+ parsed_segments.append(matches)
+
+ return parsed_segments
+
+def generate_constraints(segment_data):
+ """
+ Converts parsed (color, char) data into logical constraints for a specific word.
+ """
+ constraints = {
+ 'length': len(segment_data),
+ 'greens': {}, # index: char
+ 'yellows': [], # list of (index, char)
+ 'forbidden': set(), # chars that definitely aren't in the word
+ 'must_have': set() # chars that must exist (from greens/yellows)
+ }
+
+ # First pass: Identify "Must Have" chars (Green/Yellow)
+ for i, (color, char) in enumerate(segment_data):
+ char = char.lower()
+ if color == '92' or color == '93': # Green or Yellow
+ constraints['must_have'].add(char)
+
+ # Second pass: Build specific constraints
+ for i, (color, char) in enumerate(segment_data):
+ char = char.lower()
+
+ if color == '92': # Green (Correct Position)
+ constraints['greens'][i] = char
+
+ elif color == '93': # Yellow (Wrong Position)
+ constraints['yellows'].append((i, char))
+
+ elif color == '90': # Grey (Not in word / Not here)
+ # If char is in 'must_have', Grey just means "not at this position"
+ # (or max count reached, but "not at this position" is safer for simple filtering)
+ if char in constraints['must_have']:
+ constraints['yellows'].append((i, char)) # Treat as "wrong pos" constraint
+ else:
+ constraints['forbidden'].add(char)
+
+ return constraints
+
+def get_candidates_for_slots(wordlist_path, constraints_list):
+ """
+ Reads the wordlist and applies constraints for each word segment.
+ Returns a list of lists: [ [candidates_for_word_1], [candidates_for_word_2], ... ]
+ """
+ if not os.path.exists(wordlist_path):
+ print(f"Error: {wordlist_path} not found.")
+ return []
+
+ try:
+ with open(wordlist_path, 'r', encoding='utf-8') as f:
+ all_words = [w.strip().lower() for w in f if w.strip()]
+ except Exception as e:
+ print(f"Error reading wordlist: {e}")
+ return []
+
+ all_slots_candidates = []
+
+ # Process each word slot defined in the input
+ for word_idx, constraints in enumerate(constraints_list):
+ print(f"\n=== Solving Word {word_idx + 1} (Length {constraints['length']}) ===")
+
+ candidates = []
+
+ for w in all_words:
+ # 1. Length Check
+ if len(w) != constraints['length']:
+ continue
+
+ # 2. Forbidden Char Check
+ if any(c in constraints['forbidden'] for c in w):
+ continue
+
+ # 3. Green Check (Exact matches)
+ if any(w[i] != char for i, char in constraints['greens'].items()):
+ continue
+
+ # 4. Yellow Check
+ # Part A: The char must exist in the word
+ if any(char not in w for char in constraints['must_have']):
+ continue
+
+ # Part B: The char must NOT be at the yellow index
+ if any(w[i] == char for i, char in constraints['yellows']):
+ continue
+
+ candidates.append(w)
+
+ print(f"-> Found {len(candidates)} matches.")
+ if candidates:
+ preview = ', '.join(candidates[:5])
+ if len(candidates) > 5:
+ preview += "..."
+ print(f"-> Examples: {preview}")
+
+ all_slots_candidates.append(candidates)
+
+ return all_slots_candidates
+
+def construct_guess_string(all_slots_candidates):
+ """
+ Takes the lists of candidates and forms a 'word_word_word' string.
+ Strategically, it just picks the first valid candidate for now.
+ """
+ chosen_words = []
+ for i, candidates in enumerate(all_slots_candidates):
+ if not candidates:
+ print(f"Warning: No solution found for word {i+1}!")
+ chosen_words.append("?????")
+ else:
+ # Simple strategy: Pick the first one
+ chosen_words.append(candidates[0])
+
+ return "_".join(chosen_words)
+
+
+with remote("chall.polygl0ts.ch", 6052) as p:
+ structure = p.read()
+
+
+ # Run the function
+ lengths = get_word_lengths(structure.decode())
+
+ if lengths:
+ print(f"Word Lengths: {lengths}")
+ print(f"Total Letters: {sum(lengths)}")
+
+ word_dict = get_word_dict('word_list.txt')
+
+ solve = []
+ for l in lengths:
+ solve.append(word_dict[l][0])
+
+ guess = "_".join(solve)
+
+ p.sendline(guess.encode())
+ output = p.read()
+
+ print(output.decode())
+
+ # 1. Parse the structure
+ segments = parse_ansi_feedback(output)
+
+ # 2. Convert to constraints
+ all_constraints = [generate_constraints(seg) for seg in segments]
+
+ print(all_constraints)
+
+ # 3. Get Candidates
+ candidate_lists = get_candidates_for_slots('word_list.txt', all_constraints)
+
+ guess = construct_guess_string(candidate_lists)
+
+ print(f"Best guess {guess}")
+
diff --git a/2025/lake/misc/wordler/pyproject.toml b/2025/lake/misc/wordler/pyproject.toml
new file mode 100644
index 0000000..f9e6973
--- /dev/null
+++ b/2025/lake/misc/wordler/pyproject.toml
@@ -0,0 +1,10 @@
+[project]
+name = "wordler"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+ "pwntools>=4.15.0",
+ "z3-solver>=4.15.4.0",
+]
diff --git a/2025/lake/misc/wordler/solve.py b/2025/lake/misc/wordler/solve.py
new file mode 100644
index 0000000..bf73a20
--- /dev/null
+++ b/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])}")
+
diff --git a/2025/lake/misc/wordler/tmp.py b/2025/lake/misc/wordler/tmp.py
new file mode 100644
index 0000000..2973fdc
--- /dev/null
+++ b/2025/lake/misc/wordler/tmp.py
@@ -0,0 +1,215 @@
+import re
+import os
+from collections import Counter, defaultdict
+import itertools
+
+def parse_ansi_feedback(raw_bytes):
+ """
+ Parses the raw bytes containing ANSI codes to extract letters and their colors.
+ Returns a list of word_segments.
+ Each segment is a list of tuples: (color_code, char)
+ """
+ try:
+ decoded = raw_bytes.decode('utf-8')
+ except UnicodeDecodeError:
+ decoded = raw_bytes.decode('utf-8', errors='ignore')
+
+ print("--- Raw Decoded String ---")
+ print(decoded)
+ print("--------------------------")
+
+ # Split into word chunks based on the underscore
+ raw_segments = decoded.strip().split('_')
+
+ parsed_segments = []
+
+ # Regex to find ANSI code and the character immediately following
+ # Matches: \x1b[93mU (captures '93' and 'U')
+ ansi_pattern = re.compile(r'\x1b\[(\d+)m([A-Z])')
+
+ for raw_seg in raw_segments:
+ matches = ansi_pattern.findall(raw_seg)
+ if matches:
+ # matches is a list of ('93', 'U'), ('90', 'V'), etc.
+ parsed_segments.append(matches)
+
+ return parsed_segments
+
+def analyze_global_constraints(all_segments):
+ """
+ Derives global letter counts from all segments combined based on the rule:
+ - Green/Yellow count contributes to the total.
+ - Presence of Grey implies the count is EXACTLY (Green + Yellow).
+ - Absence of Grey implies the count is AT LEAST (Green + Yellow).
+ """
+ # Flatten all entries to count global occurrences in the guess
+ all_entries = [item for seg in all_segments for item in seg]
+
+ char_data = defaultdict(lambda: {'92': 0, '93': 0, '90': 0})
+
+ for color, char in all_entries:
+ char_data[char.lower()][color] += 1
+
+ global_constraints = {}
+
+ for char, counts in char_data.items():
+ greens = counts['92']
+ yellows = counts['93']
+ greys = counts['90']
+
+ required = greens + yellows
+
+ if greys > 0:
+ # We hit the limit (Grey exists), so the total count in solution is exactly 'required'
+ global_constraints[char] = {'min': required, 'max': required}
+ else:
+ # No Greys seen, so there could be more. Count is at least 'required'
+ global_constraints[char] = {'min': required, 'max': float('inf')}
+
+ return global_constraints
+
+def generate_local_constraints(segment_data):
+ """
+ Generates positional constraints for a single word slot.
+ """
+ constraints = {
+ 'length': len(segment_data),
+ 'fixed': {}, # index: char (Green)
+ 'not_at_pos': [], # list of (index, char) (Yellow or Grey)
+ }
+
+ for i, (color, char) in enumerate(segment_data):
+ char = char.lower()
+ if color == '92': # Green
+ constraints['fixed'][i] = char
+ elif color == '93': # Yellow
+ constraints['not_at_pos'].append((i, char))
+ elif color == '90': # Grey
+ # Grey means "not a match at this position".
+ constraints['not_at_pos'].append((i, char))
+
+ return constraints
+
+def get_candidates_for_slots(wordlist_path, segments, global_constraints):
+ """
+ 1. Filters wordlist for each slot based on local constraints.
+ 2. Prunes words containing letters that are globally forbidden (max=0).
+ """
+ if not os.path.exists(wordlist_path):
+ print(f"Error: {wordlist_path} not found.")
+ return []
+
+ try:
+ with open(wordlist_path, 'r', encoding='utf-8') as f:
+ all_words = [w.strip().lower() for w in f if w.strip()]
+ except Exception as e:
+ print(f"Error reading wordlist: {e}")
+ return []
+
+ # Identify globally forbidden characters (max count is 0)
+ forbidden_chars = {c for c, limits in global_constraints.items() if limits['max'] == 0}
+
+ all_slots_candidates = []
+
+ for i, seg in enumerate(segments):
+ local = generate_local_constraints(seg)
+ candidates = []
+
+ print(f"\nScanning candidates for Slot {i+1} (Length {local['length']})...")
+
+ for w in all_words:
+ # 1. Length
+ if len(w) != local['length']: continue
+
+ # 2. Global "Zero Tolerance" check
+ if any(c in forbidden_chars for c in w): continue
+
+ # 3. Green (Fixed Position)
+ if any(w[idx] != char for idx, char in local['fixed'].items()): continue
+
+ # 4. Not At Position (Yellow/Grey)
+ if any(w[idx] == char for idx, char in local['not_at_pos']): continue
+
+ candidates.append(w)
+
+ print(f"-> {len(candidates)} candidates found.")
+ all_slots_candidates.append(candidates)
+
+ return all_slots_candidates
+
+def solve_combination(candidate_lists, global_constraints):
+ """
+ Finds a combination of one word from each list such that the total letter counts
+ satisfy the global constraints.
+ """
+ print("\n=== Solving for Valid Combination ===")
+
+ # We use a recursive backtracking approach or itertools.product.
+ # Given the likely search space, product might be heavy if candidates are many.
+ # However, Python generators handle it decently if solutions appear early.
+
+ # Pre-check: if any list is empty, fail early
+ if any(not lst for lst in candidate_lists):
+ print("Error: One or more slots have no candidates.")
+ return None
+
+ # Limit total combinations to avoid hanging if constraints are loose
+ max_checks = 2000000
+ checks = 0
+
+ import time
+ start_time = time.time()
+
+ for combination in itertools.product(*candidate_lists):
+ checks += 1
+ if checks % 100000 == 0:
+ print(f"Checked {checks} combinations...")
+ if checks > max_checks:
+ print("Time limit exceeded searching for combinations.")
+ break
+
+ # Combine all letters
+ combined_text = "".join(combination)
+ counts = Counter(combined_text)
+
+ valid = True
+ # Check against global constraints
+ for char, limits in global_constraints.items():
+ c_count = counts[char]
+ if c_count < limits['min']:
+ valid = False; break
+ if limits['max'] is not None and c_count != limits['max']:
+ valid = False; break
+
+ if valid:
+ print(f"Solution Found in {time.time() - start_time:.2f}s!")
+ return "_".join(combination)
+
+ print("No valid combination found matching all constraints.")
+ return None
+
+# --- Main Execution ---
+
+# The specific ANSI byte string provided
+raw_ansi_output = b'\x1b[93mU\x1b[0m\x1b[93mN\x1b[0m\x1b[93mI\x1b[0m\x1b[90mV\x1b[0m\x1b[92mE\x1b[0m\x1b[93mR\x1b[0m\x1b[93mS\x1b[0m\x1b[90mI\x1b[0m\x1b[93mT\x1b[0m\x1b[90mY\x1b[0m_\x1b[90mC\x1b[0m\x1b[93mO\x1b[0m\x1b[93mN\x1b[0m\x1b[93mT\x1b[0m\x1b[90mA\x1b[0m\x1b[90mC\x1b[0m\x1b[90mT\x1b[0m_\x1b[90mI\x1b[0m\x1b[93mN\x1b[0m\x1b[90mT\x1b[0m\x1b[92mE\x1b[0m\x1b[90mR\x1b[0m\x1b[93mN\x1b[0m\x1b[90mA\x1b[0m\x1b[90mT\x1b[0m\x1b[90mI\x1b[0m\x1b[93mO\x1b[0m\x1b[90mN\x1b[0m\x1b[90mA\x1b[0m\x1b[93mL\x1b[0m\n'
+
+# 1. Parse
+segments = parse_ansi_feedback(raw_ansi_output)
+
+# 2. Analyze Global Constraints
+global_cons = analyze_global_constraints(segments)
+print("\nGlobal Constraints (Total Counts in Solution):")
+for c, lim in global_cons.items():
+ mx = lim['max'] if lim['max'] is not None else "Inf"
+ print(f" {c.upper()}: {lim['min']} - {mx}")
+
+# 3. Get Candidates per Slot
+candidate_lists = get_candidates_for_slots('wordlist.txt', segments, global_cons)
+
+# 4. Find valid combination
+final_guess = solve_combination(candidate_lists, global_cons)
+
+if final_guess:
+ print("\n--------------------------------")
+ print(f"FORMATTED GUESS: {final_guess}")
+ print("--------------------------------")
diff --git a/2025/lake/misc/wordler/uv.lock b/2025/lake/misc/wordler/uv.lock
new file mode 100644
index 0000000..2c91a73
--- /dev/null
+++ b/2025/lake/misc/wordler/uv.lock
@@ -0,0 +1,790 @@
+version = 1
+revision = 3
+requires-python = ">=3.12"
+
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+name = "bcrypt"
+version = "5.0.0"
+source = { registry = "https://pypi.org/simple" }
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+bhutan
+liechtenstein
+mating
+compute
+redhead
+arrives
+translator
+automobiles
+tractor
+allah
+continent
+ob
+unwrap
+fares
+longitude
+resist
+challenged
+telecharger
+hoped
+pike
+safer
+insertion
+instrumentation
+ids
+hugo
+wagner
+constraint
+groundwater
+touched
+strengthening
+cologne
+gzip
+wishing
+ranger
+smallest
+insulation
+newman
+marsh
+ricky
+ctrl
+scared
+theta
+infringement
+bent
+laos
+subjective
+monsters
+asylum
+lightbox
+robbie
+stake
+cocktail
+outlets
+swaziland
+varieties
+arbor
+mediawiki
+configurations
+poison
\ No newline at end of file
diff --git a/2025/lake/rev/android/.gitignore b/2025/lake/rev/android/.gitignore
new file mode 100644
index 0000000..029a77d
--- /dev/null
+++ b/2025/lake/rev/android/.gitignore
@@ -0,0 +1 @@
+src_files
diff --git a/2025/lake/rev/android/.python-version b/2025/lake/rev/android/.python-version
new file mode 100644
index 0000000..e4fba21
--- /dev/null
+++ b/2025/lake/rev/android/.python-version
@@ -0,0 +1 @@
+3.12
diff --git a/2025/lake/rev/android/README.md b/2025/lake/rev/android/README.md
new file mode 100644
index 0000000..e69de29
diff --git a/2025/lake/rev/android/anothapk.apk b/2025/lake/rev/android/anothapk.apk
new file mode 100644
index 0000000..8c8c505
Binary files /dev/null and b/2025/lake/rev/android/anothapk.apk differ
diff --git a/2025/lake/rev/android/libohgreat2.so b/2025/lake/rev/android/libohgreat2.so
new file mode 100644
index 0000000..05d7802
Binary files /dev/null and b/2025/lake/rev/android/libohgreat2.so differ
diff --git a/2025/lake/rev/android/libohgreat2.so.id0 b/2025/lake/rev/android/libohgreat2.so.id0
new file mode 100644
index 0000000..3319c9d
Binary files /dev/null and b/2025/lake/rev/android/libohgreat2.so.id0 differ
diff --git a/2025/lake/rev/android/libohgreat2.so.id1 b/2025/lake/rev/android/libohgreat2.so.id1
new file mode 100644
index 0000000..99a3c4a
Binary files /dev/null and b/2025/lake/rev/android/libohgreat2.so.id1 differ
diff --git a/2025/lake/rev/android/libohgreat2.so.id2 b/2025/lake/rev/android/libohgreat2.so.id2
new file mode 100644
index 0000000..f744819
Binary files /dev/null and b/2025/lake/rev/android/libohgreat2.so.id2 differ
diff --git a/2025/lake/rev/android/libohgreat2.so.nam b/2025/lake/rev/android/libohgreat2.so.nam
new file mode 100644
index 0000000..c4e1798
Binary files /dev/null and b/2025/lake/rev/android/libohgreat2.so.nam differ
diff --git a/2025/lake/rev/android/libohgreat2.so.til b/2025/lake/rev/android/libohgreat2.so.til
new file mode 100644
index 0000000..4e82a27
Binary files /dev/null and b/2025/lake/rev/android/libohgreat2.so.til differ
diff --git a/2025/lake/rev/android/main.py b/2025/lake/rev/android/main.py
new file mode 100644
index 0000000..24eb09c
--- /dev/null
+++ b/2025/lake/rev/android/main.py
@@ -0,0 +1,6 @@
+def main():
+ print("Hello from android!")
+
+
+if __name__ == "__main__":
+ main()
diff --git a/2025/lake/rev/android/pyproject.toml b/2025/lake/rev/android/pyproject.toml
new file mode 100644
index 0000000..91bec08
--- /dev/null
+++ b/2025/lake/rev/android/pyproject.toml
@@ -0,0 +1,9 @@
+[project]
+name = "android"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+ "z3-solver>=4.15.4.0",
+]
diff --git a/2025/lake/rev/android/solve.py b/2025/lake/rev/android/solve.py
new file mode 100644
index 0000000..5866751
--- /dev/null
+++ b/2025/lake/rev/android/solve.py
@@ -0,0 +1,164 @@
+import os
+import re
+from z3 import *
+
+# ================= CONFIGURATION =================
+# Path to the folder containing the decompiled .java files
+SOURCE_DIR = "./src_files/sources/com/lake/ctf"
+
+# Initial Entry Point (From the Native Init function)
+START_CLASS_HASH = "86e50149658661312a9e0b35558d84f6c6d3da797f552a9657fe0558ca40cdef"
+START_METHOD_HASH = "031b4af5197ec30a926f48cf40e11a7dbc470048a21e4003b7a3c07c5dab1baa"
+
+# ================= Z3 SETUP =================
+# UPDATED: Flag length is explicitly 55 based on MainActivity
+FLAG_LEN = 55
+# UPDATED: The app checks exactly 80 links in the chain
+MAX_STEPS = 80
+
+solver = Solver()
+flag_vars = [BitVec(f"flag_{i}", 8) for i in range(FLAG_LEN)]
+
+# Add printable ASCII constraints
+for i in range(FLAG_LEN):
+ solver.add(flag_vars[i] >= 32)
+ solver.add(flag_vars[i] <= 126)
+
+# ================= HELPER CLASSES =================
+
+class MockString:
+ """
+ A helper class to allow us to 'eval' the Java equation directly.
+ """
+ def charAt(self, index):
+ if index >= FLAG_LEN:
+ # This is now a critical error since we know the exact length
+ print(f"[!] Critical: Equation references index {index} which is >= 55.")
+ return 0
+
+ # We must zero-extend to 32 bits because Java intermediate math is int (32-bit)
+ # but our chars are 8-bit.
+ return ZeroExt(24, flag_vars[index])
+
+# ================= MAIN LOGIC =================
+
+def load_files():
+ """Reads all Java files into a dictionary keyed by Class Hash."""
+ files_map = {}
+ if not os.path.exists(SOURCE_DIR):
+ print(f"Error: Directory {SOURCE_DIR} not found.")
+ return {}
+
+ print(f"[*] Loading files from {SOURCE_DIR}...")
+ for f in os.listdir(SOURCE_DIR):
+ if f.endswith(".java") and f.startswith("Check"):
+ class_hash = f.replace("Check", "").replace(".java", "")
+ with open(os.path.join(SOURCE_DIR, f), "r") as file_obj:
+ files_map[class_hash] = file_obj.read()
+ print(f"[*] Loaded {len(files_map)} files.")
+ return files_map
+
+def extract_logic(class_hash, method_hash, files_map):
+ content = files_map.get(class_hash)
+ if not content:
+ print(f"[!] Critical: Class hash {class_hash} not found on disk.")
+ return None, None, None
+
+ # Pattern: static boolean Check[METHOD_HASH](String str) { BODY }
+ method_pattern = re.compile(rf"static boolean Check{method_hash}\(String (\w+)\)\s*\{{(.*?)\}}", re.DOTALL)
+ match = method_pattern.search(content)
+
+ if not match:
+ print(f"[!] Critical: Method {method_hash} not found in class {class_hash}.")
+ return None, None, None
+
+ param_name = match.group(1)
+ body = match.group(2)
+
+ # Extract the 'if' condition
+ if_match = re.search(r"if\s*\((.*)\)\s*\{", body)
+ if not if_match:
+ return None, None, None
+
+ equation_str = if_match.group(1)
+
+ # Extract the 'Success' Nop call
+ if_block_start = body.find("{")
+ if_block_end = body.find("}", if_block_start)
+ if_block_content = body[if_block_start:if_block_end]
+
+ nop_match = re.search(r'nop\("([a-f0-9]+)",\s*"([a-f0-9]+)"\)', if_block_content)
+
+ if not nop_match:
+ return equation_str, None, None
+
+ return equation_str, nop_match.group(1), nop_match.group(2)
+
+def solve():
+ files_map = load_files()
+ if not files_map: return
+
+ curr_class = START_CLASS_HASH
+ curr_method = START_METHOD_HASH
+
+ step_count = 0
+ visited = set()
+
+ print(f"[*] Starting traversal for exactly {MAX_STEPS} steps...")
+
+ # UPDATED: Loop exactly MAX_STEPS times
+ for i in range(MAX_STEPS):
+ if not curr_class:
+ print("[!] Chain ended prematurely!")
+ break
+
+ # Loop detection (just in case, though duplicates are mathematically fine)
+ if (curr_class, curr_method) in visited:
+ print(f"[i] Loop detected at step {i+1}. This is fine, just adding redundant constraints.")
+ visited.add((curr_class, curr_method))
+
+ step_count += 1
+
+ eq_str, next_class, next_method = extract_logic(curr_class, curr_method, files_map)
+
+ if not eq_str:
+ break
+
+ try:
+ if "==" in eq_str:
+ lhs, rhs = eq_str.split("==")
+ ctx = {'str': MockString()}
+ lhs_expr = eval(lhs.strip(), {}, ctx)
+ rhs_val = int(eval(rhs.strip(), {}, {}))
+ solver.add(lhs_expr == rhs_val)
+ else:
+ print(f"[!] Warning: Equation format unknown: {eq_str}")
+ except Exception as e:
+ print(f"[!] Error parsing equation: {eq_str}")
+ break
+
+ curr_class = next_class
+ curr_method = next_method
+
+ print(f"[*] Extraction complete. {step_count} constraints added.")
+ print("[*] Solving with Z3...")
+
+ if solver.check() == sat:
+ model = solver.model()
+ result = []
+ for i in range(FLAG_LEN):
+ val = model[flag_vars[i]]
+ if val is not None:
+ result.append(chr(val.as_long()))
+ else:
+ result.append("?")
+
+ final_flag = "".join(result)
+ print("\n" + "="*50)
+ print(f"FLAG: {final_flag}")
+ print("="*50 + "\n")
+ else:
+ print("[!] Unsatisfiable! Constraints might be contradictory.")
+
+if __name__ == "__main__":
+ solve()
diff --git a/2025/lake/rev/android/uv.lock b/2025/lake/rev/android/uv.lock
new file mode 100644
index 0000000..0513bf7
--- /dev/null
+++ b/2025/lake/rev/android/uv.lock
@@ -0,0 +1,28 @@
+version = 1
+revision = 3
+requires-python = ">=3.12"
+
+[[package]]
+name = "android"
+version = "0.1.0"
+source = { virtual = "." }
+dependencies = [
+ { name = "z3-solver" },
+]
+
+[package.metadata]
+requires-dist = [{ name = "z3-solver", specifier = ">=4.15.4.0" }]
+
+[[package]]
+name = "z3-solver"
+version = "4.15.4.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/8a/8e/0c8f17309549d2e5cde9a3ccefa6365437f1e7bafe71878eaf9478e47b18/z3_solver-4.15.4.0.tar.gz", hash = "sha256:928c29b58c4eb62106da51c1914f6a4a55d0441f8f48a81b9da07950434a8946", size = 5018600, upload-time = "2025-10-29T18:12:03.062Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/63/33/a3d5d2eaeb0f7b3174d57d405437eabb2075d4d50bd9ea0957696c435c7b/z3_solver-4.15.4.0-py3-none-macosx_13_0_arm64.whl", hash = "sha256:407e825cc9211f95ef46bdc8d151bf630e7ab2d62a21d24cd74c09cc5b73f3aa", size = 37052538, upload-time = "2025-10-29T18:11:46.233Z" },
+ { url = "https://files.pythonhosted.org/packages/47/84/fd7ffac1551cd9f8d44fe41358f738be670fc4c24dfd514fab503f2cf3e7/z3_solver-4.15.4.0-py3-none-macosx_13_0_x86_64.whl", hash = "sha256:00bd10c5a6a5f6112d3a9a810d0799227e52f76caa860dafa5e00966bb47eb13", size = 39807925, upload-time = "2025-10-29T18:11:49.81Z" },
+ { url = "https://files.pythonhosted.org/packages/21/c9/bb51a96af0091324c81b803f16c49f719f9f6ea0b0bb52200f5c97ec4892/z3_solver-4.15.4.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e103a6f203f505b8b8b8e5c931cc407c95b61556512d4921c1ddc0b3f41b08e", size = 29268352, upload-time = "2025-10-29T18:11:53.032Z" },
+ { url = "https://files.pythonhosted.org/packages/bf/2e/0b49f7e4e53817cfb09a0f6585012b782dfe0b666e8abefcb4fac0570606/z3_solver-4.15.4.0-py3-none-manylinux_2_34_aarch64.whl", hash = "sha256:62c7e9cbdd711932301f29919ad9158de9b2f58b4d281dd259bbcd0a2f408ba1", size = 27226534, upload-time = "2025-10-29T18:11:55.59Z" },
+ { url = "https://files.pythonhosted.org/packages/26/91/33de49538444d4aafbe47415c450c2f9abab1733e1226f276b496672f46c/z3_solver-4.15.4.0-py3-none-win32.whl", hash = "sha256:be3bc916545c96ffbf89e00d07104ff14f78336e55db069177a1bfbcc01b269d", size = 13191672, upload-time = "2025-10-29T18:11:58.424Z" },
+ { url = "https://files.pythonhosted.org/packages/03/d6/a0b135e4419df475177ae78fc93c422430b0fd8875649486f9a5989772e6/z3_solver-4.15.4.0-py3-none-win_amd64.whl", hash = "sha256:00e35b02632ed085ea8199fb230f6015e6fc40554a6680c097bd5f060e827431", size = 16259597, upload-time = "2025-10-29T18:12:01.14Z" },
+]
diff --git a/2025/lake/rev/dilemma/.python-version b/2025/lake/rev/dilemma/.python-version
new file mode 100644
index 0000000..e4fba21
--- /dev/null
+++ b/2025/lake/rev/dilemma/.python-version
@@ -0,0 +1 @@
+3.12
diff --git a/2025/lake/rev/dilemma/Dockerfile_redacted b/2025/lake/rev/dilemma/Dockerfile_redacted
new file mode 100644
index 0000000..fb76de7
--- /dev/null
+++ b/2025/lake/rev/dilemma/Dockerfile_redacted
@@ -0,0 +1,24 @@
+FROM ubuntu:24.04@sha256:d22e4fb389065efa4a61bb36416768698ef6d955fe8a7e0cdb3cd6de80fa7eec AS builder
+
+RUN rm -f /etc/apt/apt.conf.d/docker-clean && \
+ echo 'Binary::apt::APT::Keep-Downloaded-Packages "true";' > /etc/apt/apt.conf.d/keep-cache
+
+# Install packages
+RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
+ --mount=type=cache,target=/var/lib/apt,sharing=locked \
+ apt-get update && \
+ apt-get install -y --no-install-recommends python3
+
+
+FROM pwn.red/jail@sha256:ee52ad5fd6cfed7fd8ea30b09792a6656045dd015f9bef4edbbfa2c6e672c28c
+
+COPY --from=builder / /srv
+COPY run /srv/app/run
+COPY chal /srv/app/chal
+
+RUN chmod 755 /srv/app/run
+RUN chmod 755 /srv/app/chal
+
+ENV JAIL_TIME=300
+ENV JAIL_MEM=200M
+ENV JAIL_ENV_FLAG=EPFL{fake_flag}
diff --git a/2025/lake/rev/dilemma/README.md b/2025/lake/rev/dilemma/README.md
new file mode 100644
index 0000000..e69de29
diff --git a/2025/lake/rev/dilemma/chal b/2025/lake/rev/dilemma/chal
new file mode 100755
index 0000000..e297128
Binary files /dev/null and b/2025/lake/rev/dilemma/chal differ
diff --git a/2025/lake/rev/dilemma/chal.i64 b/2025/lake/rev/dilemma/chal.i64
new file mode 100644
index 0000000..ba420f1
Binary files /dev/null and b/2025/lake/rev/dilemma/chal.i64 differ
diff --git a/2025/lake/rev/dilemma/compose.yaml b/2025/lake/rev/dilemma/compose.yaml
new file mode 100644
index 0000000..4b94c97
--- /dev/null
+++ b/2025/lake/rev/dilemma/compose.yaml
@@ -0,0 +1,20 @@
+services:
+ dilemma:
+ build: .
+ restart: unless-stopped
+ ports:
+ - 6667:5000
+ cap_drop:
+ - all
+ cap_add:
+ - chown
+ - setuid
+ - setgid
+ - sys_admin
+ - mknod
+ security_opt:
+ - apparmor=unconfined
+ - seccomp=unconfined
+ - systempaths=unconfined
+ environment:
+ - JAIL_TMP_SIZE=50M
diff --git a/2025/lake/rev/dilemma/main.py b/2025/lake/rev/dilemma/main.py
new file mode 100644
index 0000000..d0559f4
--- /dev/null
+++ b/2025/lake/rev/dilemma/main.py
@@ -0,0 +1,6 @@
+def main():
+ print("Hello from dilemma!")
+
+
+if __name__ == "__main__":
+ main()
diff --git a/2025/lake/rev/dilemma/pyproject.toml b/2025/lake/rev/dilemma/pyproject.toml
new file mode 100644
index 0000000..a175e87
--- /dev/null
+++ b/2025/lake/rev/dilemma/pyproject.toml
@@ -0,0 +1,9 @@
+[project]
+name = "dilemma"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+ "pwntools>=4.15.0",
+]
diff --git a/2025/lake/rev/dilemma/run_fakeflag b/2025/lake/rev/dilemma/run_fakeflag
new file mode 100755
index 0000000..dd21622
--- /dev/null
+++ b/2025/lake/rev/dilemma/run_fakeflag
@@ -0,0 +1,2 @@
+#!/bin/bash
+FLAG="EPFL{example_flag}" ./chal -v
diff --git a/2025/lake/rev/dilemma/solve.py b/2025/lake/rev/dilemma/solve.py
new file mode 100644
index 0000000..746206e
--- /dev/null
+++ b/2025/lake/rev/dilemma/solve.py
@@ -0,0 +1,69 @@
+from pwn import *
+
+# Context setup
+context.log_level = 'error' # Reduce noise, we only care about the flag or retrying
+
+# The Payload script to send to the binary
+PAYLOAD = """
+import sys
+target = -1
+next_box = -1
+while True:
+ try:
+ line = sys.stdin.readline()
+ if not line: break
+ line = line.strip()
+ if "You are player number" in line:
+ parts = line.split()
+ current_player = int(parts[4].replace('.', ''))
+ if target == -1:
+ target = current_player
+ next_box = current_player
+ print(next_box)
+ sys.stdout.flush()
+ elif line.startswith("FOUND"):
+ parts = line.split()
+ next_box = int(parts[1])
+ except: break
+"""
+
+def solve():
+ # Replace './challenge' with the actual binary name
+ # If remote, use: p = remote('IP', PORT)
+ p = remote('chall.polygl0ts.ch', 6667)
+ # p = process(['./chal'], env={'FLAG': 'CTF{test_flag}'})
+
+ print("[*] Attempting to solve 100 Prisoners...")
+
+ for i in range(1, 101):
+ try:
+ # Wait for prompt "Provide Python script for player X"
+ p.recvuntil(b'EOF', timeout=1)
+
+ # Send our payload + EOF
+ p.sendline(PAYLOAD.encode())
+ p.sendline(b"EOF")
+
+ # Check if this player failed
+ # The binary prints "Player X failed" or "Player X succeeded"
+ response = p.recvline_pred(lambda x: b"succeeded" in x or b"failed" in x)
+
+ if b"failed" in response:
+ p.close()
+ return False
+
+ except EOFError:
+ p.close()
+ return False
+
+ # If we exit the loop, everyone succeeded!
+ print("[+] Success! Probability gods smiled upon us.")
+ p.interactive() # Get the flag
+ return True
+
+attempt = 1
+while True:
+ print(f"[-] Run #{attempt}")
+ if solve():
+ break
+ attempt += 1
diff --git a/2025/lake/rev/dilemma/uv.lock b/2025/lake/rev/dilemma/uv.lock
new file mode 100644
index 0000000..5aa4b33
--- /dev/null
+++ b/2025/lake/rev/dilemma/uv.lock
@@ -0,0 +1,772 @@
+version = 1
+revision = 3
+requires-python = ">=3.12"
+
+[[package]]
+name = "bcrypt"
+version = "5.0.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/d4/36/3329e2518d70ad8e2e5817d5a4cac6bba05a47767ec416c7d020a965f408/bcrypt-5.0.0.tar.gz", hash = "sha256:f748f7c2d6fd375cc93d3fba7ef4a9e3a092421b8dbf34d8d4dc06be9492dfdd", size = 25386, upload-time = "2025-09-25T19:50:47.829Z" }
+wheels = [
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new file mode 100644
index 0000000..e4fba21
--- /dev/null
+++ b/2025/lake/rev/drum_machine/.python-version
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new file mode 100644
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+++ b/2025/lake/rev/drum_machine/Lake2025_Drum_Machine.rep/idata/~index.bak
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+ 00000000:main:c0a803687516510611222531
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@@ -0,0 +1,4 @@
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diff --git a/2025/lake/rev/drum_machine/README.md b/2025/lake/rev/drum_machine/README.md
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index 0000000..e69de29
diff --git a/2025/lake/rev/drum_machine/main b/2025/lake/rev/drum_machine/main
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index 0000000..7dbb759
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diff --git a/2025/lake/rev/drum_machine/main.i64 b/2025/lake/rev/drum_machine/main.i64
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diff --git a/2025/lake/rev/drum_machine/main.py b/2025/lake/rev/drum_machine/main.py
new file mode 100644
index 0000000..a476bf6
--- /dev/null
+++ b/2025/lake/rev/drum_machine/main.py
@@ -0,0 +1,6 @@
+def main():
+ print("Hello from drum-machine!")
+
+
+if __name__ == "__main__":
+ main()
diff --git a/2025/lake/rev/drum_machine/pyproject.toml b/2025/lake/rev/drum_machine/pyproject.toml
new file mode 100644
index 0000000..8d9065d
--- /dev/null
+++ b/2025/lake/rev/drum_machine/pyproject.toml
@@ -0,0 +1,9 @@
+[project]
+name = "drum-machine"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+ "z3-solver>=4.15.4.0",
+]
diff --git a/2025/lake/rev/drum_machine/uv.lock b/2025/lake/rev/drum_machine/uv.lock
new file mode 100644
index 0000000..84e8fea
--- /dev/null
+++ b/2025/lake/rev/drum_machine/uv.lock
@@ -0,0 +1,28 @@
+version = 1
+revision = 3
+requires-python = ">=3.12"
+
+[[package]]
+name = "drum-machine"
+version = "0.1.0"
+source = { virtual = "." }
+dependencies = [
+ { name = "z3-solver" },
+]
+
+[package.metadata]
+requires-dist = [{ name = "z3-solver", specifier = ">=4.15.4.0" }]
+
+[[package]]
+name = "z3-solver"
+version = "4.15.4.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/8a/8e/0c8f17309549d2e5cde9a3ccefa6365437f1e7bafe71878eaf9478e47b18/z3_solver-4.15.4.0.tar.gz", hash = "sha256:928c29b58c4eb62106da51c1914f6a4a55d0441f8f48a81b9da07950434a8946", size = 5018600, upload-time = "2025-10-29T18:12:03.062Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/63/33/a3d5d2eaeb0f7b3174d57d405437eabb2075d4d50bd9ea0957696c435c7b/z3_solver-4.15.4.0-py3-none-macosx_13_0_arm64.whl", hash = "sha256:407e825cc9211f95ef46bdc8d151bf630e7ab2d62a21d24cd74c09cc5b73f3aa", size = 37052538, upload-time = "2025-10-29T18:11:46.233Z" },
+ { url = "https://files.pythonhosted.org/packages/47/84/fd7ffac1551cd9f8d44fe41358f738be670fc4c24dfd514fab503f2cf3e7/z3_solver-4.15.4.0-py3-none-macosx_13_0_x86_64.whl", hash = "sha256:00bd10c5a6a5f6112d3a9a810d0799227e52f76caa860dafa5e00966bb47eb13", size = 39807925, upload-time = "2025-10-29T18:11:49.81Z" },
+ { url = "https://files.pythonhosted.org/packages/21/c9/bb51a96af0091324c81b803f16c49f719f9f6ea0b0bb52200f5c97ec4892/z3_solver-4.15.4.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e103a6f203f505b8b8b8e5c931cc407c95b61556512d4921c1ddc0b3f41b08e", size = 29268352, upload-time = "2025-10-29T18:11:53.032Z" },
+ { url = "https://files.pythonhosted.org/packages/bf/2e/0b49f7e4e53817cfb09a0f6585012b782dfe0b666e8abefcb4fac0570606/z3_solver-4.15.4.0-py3-none-manylinux_2_34_aarch64.whl", hash = "sha256:62c7e9cbdd711932301f29919ad9158de9b2f58b4d281dd259bbcd0a2f408ba1", size = 27226534, upload-time = "2025-10-29T18:11:55.59Z" },
+ { url = "https://files.pythonhosted.org/packages/26/91/33de49538444d4aafbe47415c450c2f9abab1733e1226f276b496672f46c/z3_solver-4.15.4.0-py3-none-win32.whl", hash = "sha256:be3bc916545c96ffbf89e00d07104ff14f78336e55db069177a1bfbcc01b269d", size = 13191672, upload-time = "2025-10-29T18:11:58.424Z" },
+ { url = "https://files.pythonhosted.org/packages/03/d6/a0b135e4419df475177ae78fc93c422430b0fd8875649486f9a5989772e6/z3_solver-4.15.4.0-py3-none-win_amd64.whl", hash = "sha256:00e35b02632ed085ea8199fb230f6015e6fc40554a6680c097bd5f060e827431", size = 16259597, upload-time = "2025-10-29T18:12:01.14Z" },
+]
diff --git a/2025/lake/rev/drum_machine/z3_solve.py b/2025/lake/rev/drum_machine/z3_solve.py
new file mode 100644
index 0000000..d0478eb
--- /dev/null
+++ b/2025/lake/rev/drum_machine/z3_solve.py
@@ -0,0 +1,472 @@
+import re
+from z3 import *
+
+# ==============================================================================
+# 1. RAW DATA (The C++ code you provided)
+# ==============================================================================
+raw_cpp_code = """
+ *((_DWORD *)this + 15) = 1;
+ *((_DWORD *)this + 16) = 2;
+ *((_DWORD *)this + 25) = 2;
+ *((_DWORD *)this + 26) = 4;
+ *((_DWORD *)this + 27) = 5;
+ *((_DWORD *)this + 28) = 3;
+ *((_DWORD *)this + 30) = 6;
+ *((_DWORD *)this + 31) = 3;
+ *((_DWORD *)this + 32) = 3;
+ *((_DWORD *)this + 34) = 4;
+ *((_DWORD *)this + 37) = 6;
+ *((_DWORD *)this + 43) = 4;
+ *((_DWORD *)this + 44) = 5;
+ *((_DWORD *)this + 46) = 5;
+ *((_DWORD *)this + 47) = 6;
+ *((_DWORD *)this + 53) = 5;
+ *((_DWORD *)this + 56) = 7;
+ *((_DWORD *)this + 65) = 10;
+ *((_DWORD *)this + 66) = 10;
+ *((_DWORD *)this + 67) = 7;
+ *((_DWORD *)this + 68) = 8;
+ *((_DWORD *)this + 70) = 4;
+ *((_DWORD *)this + 71) = 11;
+ *((_DWORD *)this + 72) = 9;
+ *((_DWORD *)this + 77) = 11;
+ *((_DWORD *)this + 81) = 10;
+ *((_DWORD *)this + 90) = 6;
+ *((_DWORD *)this + 91) = 12;
+ *((_DWORD *)this + 92) = 11;
+ *((_DWORD *)this + 94) = 12;
+ *((_DWORD *)this + 101) = 11;
+ *((_DWORD *)this + 103) = 13;
+ *((_DWORD *)this + 112) = 16;
+ *((_DWORD *)this + 113) = 14;
+ *((_DWORD *)this + 122) = 15;
+ *((_DWORD *)this + 131) = 16;
+ *((_DWORD *)this + 140) = 17;
+ *((_DWORD *)this + 142) = 19;
+ *((_DWORD *)this + 143) = 19;
+ *((_DWORD *)this + 144) = 18;
+ *((_DWORD *)this + 149) = 13;
+ *((_DWORD *)this + 153) = 21;
+ *((_DWORD *)this + 154) = 21;
+ *((_DWORD *)this + 155) = 19;
+ *((_DWORD *)this + 164) = 20;
+ *((_DWORD *)this + 166) = 21;
+ *((_DWORD *)this + 173) = 22;
+ *((_DWORD *)this + 175) = 21;
+ *((_DWORD *)this + 176) = 21;
+ *((_DWORD *)this + 177) = 17;
+ *((_DWORD *)this + 178) = 21;
+ *((_DWORD *)this + 179) = 22;
+ *((_DWORD *)this + 188) = 23;
+ *((_DWORD *)this + 190) = 25;
+ *((_DWORD *)this + 191) = 24;
+ *((_DWORD *)this + 197) = 25;
+ *((_DWORD *)this + 200) = 25;
+ *((_DWORD *)this + 209) = 26;
+ *((_DWORD *)this + 218) = 28;
+ *((_DWORD *)this + 219) = 27;
+ *((_DWORD *)this + 228) = 28;
+ *((_DWORD *)this + 230) = 29;
+ *((_DWORD *)this + 237) = 28;
+ *((_DWORD *)this + 239) = 30;
+ *((_DWORD *)this + 248) = 26;
+ *((_DWORD *)this + 249) = 30;
+ *((_DWORD *)this + 250) = 26;
+ *((_DWORD *)this + 251) = 31;
+ *((_DWORD *)this + 260) = 32;
+ *((_DWORD *)this + 262) = 33;
+ *((_DWORD *)this + 269) = 32;
+ *((_DWORD *)this + 271) = 35;
+ *((_DWORD *)this + 272) = 34;
+ *((_DWORD *)this + 281) = 36;
+ *((_DWORD *)this + 282) = 37;
+ *((_DWORD *)this + 283) = 35;
+ *((_DWORD *)this + 292) = 36;
+ *((_DWORD *)this + 294) = 37;
+ *((_DWORD *)this + 301) = 36;
+ *((_DWORD *)this + 303) = 38;
+ *((_DWORD *)this + 312) = 39;
+ *((_DWORD *)this + 321) = 40;
+ *((_DWORD *)this + 330) = 41;
+ *((_DWORD *)this + 339) = 41;
+ *((_DWORD *)this + 340) = 42;
+ *((_DWORD *)this + 342) = 43;
+ *((_DWORD *)this + 349) = 45;
+ *((_DWORD *)this + 351) = 45;
+ *((_DWORD *)this + 352) = 43;
+ *((_DWORD *)this + 353) = 46;
+ *((_DWORD *)this + 354) = 43;
+ *((_DWORD *)this + 355) = 44;
+ *((_DWORD *)this + 364) = 45;
+ *((_DWORD *)this + 366) = 47;
+ *((_DWORD *)this + 367) = 41;
+ *((_DWORD *)this + 368) = 46;
+ *((_DWORD *)this + 373) = 41;
+ *((_DWORD *)this + 377) = 47;
+ *((_DWORD *)this + 386) = 49;
+ *((_DWORD *)this + 387) = 48;
+ *((_DWORD *)this + 396) = 49;
+ *((_DWORD *)this + 398) = 50;
+ *((_DWORD *)this + 405) = 52;
+ *((_DWORD *)this + 407) = 51;
+ *((_DWORD *)this + 416) = 52;
+ *((_DWORD *)this + 425) = 53;
+ *((_DWORD *)this + 434) = 55;
+ *((_DWORD *)this + 435) = 54;
+ *((_DWORD *)this + 444) = 55;
+ *((_DWORD *)this + 446) = 58;
+ *((_DWORD *)this + 447) = 56;
+ *((_DWORD *)this + 453) = 57;
+ *((_DWORD *)this + 456) = 57;
+ *((_DWORD *)this + 465) = 58;
+ *((_DWORD *)this + 474) = 60;
+ *((_DWORD *)this + 475) = 59;
+ *((_DWORD *)this + 484) = 60;
+ *((_DWORD *)this + 486) = 61;
+ *((_DWORD *)this + 493) = 60;
+ *((_DWORD *)this + 495) = 62;
+ *((_DWORD *)this + 504) = 63;
+ *((_DWORD *)this + 513) = 66;
+ *((_DWORD *)this + 514) = 66;
+ *((_DWORD *)this + 515) = 64;
+ *((_DWORD *)this + 524) = 65;
+ *((_DWORD *)this + 526) = 66;
+ *((_DWORD *)this + 533) = 68;
+ *((_DWORD *)this + 535) = 67;
+ *((_DWORD *)this + 544) = 68;
+ *((_DWORD *)this + 553) = 69;
+ *((_DWORD *)this + 562) = 70;
+ *((_DWORD *)this + 571) = 66;
+ *((_DWORD *)this + 572) = 71;
+ *((_DWORD *)this + 574) = 73;
+ *((_DWORD *)this + 575) = 74;
+ *((_DWORD *)this + 576) = 72;
+ *((_DWORD *)this + 581) = 67;
+ *((_DWORD *)this + 585) = 74;
+ *((_DWORD *)this + 586) = 73;
+ *((_DWORD *)this + 595) = 74;
+ *((_DWORD *)this + 604) = 75;
+ *((_DWORD *)this + 606) = 76;
+ *((_DWORD *)this + 613) = 75;
+ *((_DWORD *)this + 615) = 77;
+ *((_DWORD *)this + 624) = 78;
+ *((_DWORD *)this + 633) = 79;
+ *((_DWORD *)this + 642) = 82;
+ *((_DWORD *)this + 643) = 80;
+ *((_DWORD *)this + 652) = 81;
+ *((_DWORD *)this + 654) = 82;
+ *((_DWORD *)this + 661) = 81;
+ *((_DWORD *)this + 663) = 83;
+ *((_DWORD *)this + 672) = 84;
+ *((_DWORD *)this + 681) = 85;
+ *((_DWORD *)this + 690) = 86;
+ *((_DWORD *)this + 699) = 88;
+ *((_DWORD *)this + 700) = 87;
+ *((_DWORD *)this + 702) = 89;
+ *((_DWORD *)this + 703) = 87;
+ *((_DWORD *)this + 704) = 88;
+ *((_DWORD *)this + 709) = 83;
+ *((_DWORD *)this + 713) = 91;
+ *((_DWORD *)this + 714) = 89;
+ *((_DWORD *)this + 723) = 90;
+ *((_DWORD *)this + 732) = 91;
+ *((_DWORD *)this + 734) = 94;
+ *((_DWORD *)this + 735) = 87;
+ *((_DWORD *)this + 736) = 87;
+ *((_DWORD *)this + 737) = 92;
+ *((_DWORD *)this + 741) = 93;
+ *((_DWORD *)this + 746) = 88;
+ *((_DWORD *)this + 747) = 93;
+ *((_DWORD *)this + 756) = 94;
+ *((_DWORD *)this + 758) = 95;
+ *((_DWORD *)this + 765) = 97;
+ *((_DWORD *)this + 767) = 97;
+ *((_DWORD *)this + 768) = 96;
+ *((_DWORD *)this + 777) = 99;
+ *((_DWORD *)this + 778) = 99;
+ *((_DWORD *)this + 779) = 97;
+ *((_DWORD *)this + 788) = 98;
+ *((_DWORD *)this + 790) = 99;
+ *((_DWORD *)this + 797) = 100;
+ *((_DWORD *)this + 799) = 100;
+ *((_DWORD *)this + 808) = 101;
+ *((_DWORD *)this + 817) = 102;
+ *((_DWORD *)this + 826) = 103;
+ *((_DWORD *)this + 835) = 99;
+ *((_DWORD *)this + 836) = 104;
+ *((_DWORD *)this + 838) = 106;
+ *((_DWORD *)this + 839) = 105;
+ *((_DWORD *)this + 845) = 100;
+ *((_DWORD *)this + 848) = 108;
+ *((_DWORD *)this + 849) = 108;
+ *((_DWORD *)this + 850) = 101;
+ *((_DWORD *)this + 851) = 106;
+ *((_DWORD *)this + 860) = 107;
+ *((_DWORD *)this + 862) = 108;
+ *((_DWORD *)this + 869) = 107;
+ *((_DWORD *)this + 871) = 109;
+ *((_DWORD *)this + 880) = 109;
+ *((_DWORD *)this + 881) = 109;
+ *((_DWORD *)this + 882) = 110;
+ *((_DWORD *)this + 891) = 111;
+ *((_DWORD *)this + 894) = 107;
+ *((_DWORD *)this + 895) = 111;
+ *((_DWORD *)this + 896) = 112;
+ *((_DWORD *)this + 900) = 114;
+ *((_DWORD *)this + 901) = 114;
+ *((_DWORD *)this + 905) = 108;
+ *((_DWORD *)this + 906) = 113;
+ *((_DWORD *)this + 915) = 114;
+ *((_DWORD *)this + 918) = 116;
+ *((_DWORD *)this + 919) = 114;
+ *((_DWORD *)this + 920) = 115;
+ *((_DWORD *)this + 924) = 110;
+ *((_DWORD *)this + 925) = 110;
+ *((_DWORD *)this + 929) = 115;
+ *((_DWORD *)this + 930) = 116;
+ *((_DWORD *)this + 939) = 117;
+ *((_DWORD *)this + 948) = 118;
+ *((_DWORD *)this + 950) = 119;
+ *((_DWORD *)this + 957) = 120;
+ *((_DWORD *)this + 959) = 120;
+ *((_DWORD *)this + 968) = 121;
+ *((_DWORD *)this + 977) = 122;
+ *((_DWORD *)this + 986) = 123;
+ *((_DWORD *)this + 995) = 125;
+ *((_DWORD *)this + 996) = 124;
+ *((_DWORD *)this + 998) = 125;
+ *((_DWORD *)this + 1005) = 124;
+ *((_DWORD *)this + 1007) = 126;
+ *((_DWORD *)this + 1016) = 127;
+ *((_DWORD *)this + 1025) = 128;
+ *((_DWORD *)this + 1034) = 130;
+ *((_DWORD *)this + 1035) = 129;
+ *((_DWORD *)this + 1044) = 130;
+ *((_DWORD *)this + 1046) = 133;
+ *((_DWORD *)this + 1047) = 131;
+ *((_DWORD *)this + 1053) = 126;
+ *((_DWORD *)this + 1056) = 132;
+ *((_DWORD *)this + 1065) = 128;
+ *((_DWORD *)this + 1066) = 132;
+ *((_DWORD *)this + 1067) = 133;
+ *((_DWORD *)this + 1076) = 134;
+ *((_DWORD *)this + 1078) = 135;
+ *((_DWORD *)this + 1085) = 136;
+ *((_DWORD *)this + 1087) = 136;
+ *((_DWORD *)this + 1096) = 137;
+ *((_DWORD *)this + 1105) = 138;
+ *((_DWORD *)this + 1114) = 139;
+ *((_DWORD *)this + 1123) = 142;
+ *((_DWORD *)this + 1124) = 140;
+ *((_DWORD *)this + 1126) = 142;
+ *((_DWORD *)this + 1127) = 143;
+ *((_DWORD *)this + 1128) = 141;
+ *((_DWORD *)this + 1133) = 140;
+ *((_DWORD *)this + 1137) = 144;
+ *((_DWORD *)this + 1138) = 142;
+ *((_DWORD *)this + 1147) = 143;
+ *((_DWORD *)this + 1156) = 144;
+ *((_DWORD *)this + 1158) = 147;
+ *((_DWORD *)this + 1159) = 144;
+ *((_DWORD *)this + 1160) = 146;
+ *((_DWORD *)this + 1161) = 145;
+ *((_DWORD *)this + 1165) = 146;
+ *((_DWORD *)this + 1170) = 141;
+ *((_DWORD *)this + 1171) = 146;
+ *((_DWORD *)this + 1180) = 147;
+ *((_DWORD *)this + 1182) = 148;
+ *((_DWORD *)this + 1189) = 147;
+ *((_DWORD *)this + 1191) = 148;
+ *((_DWORD *)this + 1192) = 149;
+ *((_DWORD *)this + 1201) = 151;
+ *((_DWORD *)this + 1202) = 151;
+ *((_DWORD *)this + 1203) = 150;
+ *((_DWORD *)this + 1212) = 151;
+ *((_DWORD *)this + 1214) = 152;
+ *((_DWORD *)this + 1221) = 154;
+ *((_DWORD *)this + 1223) = 153;
+ *((_DWORD *)this + 1232) = 154;
+ *((_DWORD *)this + 1241) = 155;
+ *((_DWORD *)this + 1250) = 156;
+ *((_DWORD *)this + 1259) = 156;
+ *((_DWORD *)this + 1260) = 157;
+ *((_DWORD *)this + 1262) = 157;
+ *((_DWORD *)this + 1263) = 158;
+ *((_DWORD *)this + 1269) = 160;
+ *((_DWORD *)this + 1272) = 159;
+ *((_DWORD *)this + 1281) = 159;
+ *((_DWORD *)this + 1282) = 155;
+ *((_DWORD *)this + 1283) = 160;
+ *((_DWORD *)this + 1292) = 161;
+ *((_DWORD *)this + 1294) = 164;
+ *((_DWORD *)this + 1295) = 164;
+ *((_DWORD *)this + 1296) = 162;
+ *((_DWORD *)this + 1301) = 161;
+ *((_DWORD *)this + 1305) = 163;
+ *((_DWORD *)this + 1314) = 159;
+ *((_DWORD *)this + 1315) = 164;
+ *((_DWORD *)this + 1324) = 165;
+ *((_DWORD *)this + 1326) = 167;
+ *((_DWORD *)this + 1327) = 161;
+ *((_DWORD *)this + 1328) = 166;
+ *((_DWORD *)this + 1333) = 168;
+ *((_DWORD *)this + 1337) = 169;
+ *((_DWORD *)this + 1338) = 167;
+ *((_DWORD *)this + 1347) = 168;
+ *((_DWORD *)this + 1350) = 169;
+ *((_DWORD *)this + 1356) = 171;
+ *((_DWORD *)this + 1357) = 170;
+ *((_DWORD *)this + 1359) = 170;
+ *((_DWORD *)this + 1368) = 171;
+ *((_DWORD *)this + 1377) = 167;
+ *((_DWORD *)this + 1378) = 173;
+ *((_DWORD *)this + 1379) = 172;
+ *((_DWORD *)this + 1388) = 173;
+ *((_DWORD *)this + 1390) = 174;
+ *((_DWORD *)this + 1397) = 169;
+ *((_DWORD *)this + 1399) = 170;
+ *((_DWORD *)this + 1400) = 174;
+ *((_DWORD *)this + 1401) = 177;
+ *((_DWORD *)this + 1402) = 177;
+ *((_DWORD *)this + 1403) = 175;
+ *((_DWORD *)this + 1406) = 176;
+ *((_DWORD *)this + 1412) = 175;
+ *((_DWORD *)this + 1413) = 177;
+ *((_DWORD *)this + 1415) = 176;
+ *((_DWORD *)this + 1416) = 177;
+ *((_DWORD *)this + 1425) = 178;
+ *((_DWORD *)this + 1434) = 179;
+ *((_DWORD *)this + 1443) = 180;
+ *((_DWORD *)this + 1452) = 181;
+ *((_DWORD *)this + 1461) = 184;
+ *((_DWORD *)this + 1478) = 0;
+ *((_DWORD *)this + 1479) = 23;
+ *((_DWORD *)this + 1480) = 21;
+ *((_DWORD *)this + 1481) = 32;
+ *((_DWORD *)this + 1482) = 19;
+ *((_DWORD *)this + 1483) = 17;
+ *((_DWORD *)this + 1484) = 31;
+ *((_DWORD *)this + 1485) = 38;
+ *((_DWORD *)this + 1486) = 0;
+"""
+
+# ==============================================================================
+# 2. PARSE DATA
+# ==============================================================================
+# We need to extract TransitionTable and TargetHistogram
+# Transition table offset base = 6 (offset 24 bytes / 4)
+# Target histogram offset base = 1479
+
+TABLE_OFFSET_BASE = 6
+HIST_OFFSET_BASE = 1479
+NUM_HITS = 8
+
+transition_table = {} # (state, hit) -> next_state
+target_histogram = [0] * NUM_HITS
+
+# Regex to find assignments: *((_DWORD *)this + OFFSET) = VALUE;
+pattern = re.compile(r'\*\(\(_DWORD \*\)this \+ (\d+)\) = (\d+);')
+
+print("[*] Parsing C++ code...")
+
+matches = pattern.findall(raw_cpp_code)
+for offset_str, value_str in matches:
+ offset = int(offset_str)
+ value = int(value_str)
+
+ # Check if it belongs to Transition Table
+ # The table is roughly between offset 6 and 1470
+ if TABLE_OFFSET_BASE <= offset < 1478:
+ # Calculate State and Hit
+ # equation: offset = base + (state * 8) + hit
+ local_off = offset - TABLE_OFFSET_BASE
+ state = local_off // NUM_HITS
+ hit = local_off % NUM_HITS
+ transition_table[(state, hit)] = value
+
+ # Check if it belongs to Target Histogram
+ elif HIST_OFFSET_BASE <= offset < HIST_OFFSET_BASE + NUM_HITS:
+ idx = offset - HIST_OFFSET_BASE
+ target_histogram[idx] = value
+
+print(f"[*] Parsed {len(transition_table)} transition rules.")
+print(f"[*] Target Histogram: {target_histogram}")
+
+# Calculate Flag Length from histogram
+FLAG_LEN = sum(target_histogram)
+print(f"[*] Calculated Flag Length: {FLAG_LEN}")
+
+# The Success State is usually the state we reach after the last char.
+# Based on the main(), it is 181.
+SUCCESS_STATE = 181
+
+# Initial state (offset +1478 = 0)
+START_STATE = 0
+# Also, there is a distinct assignment `*v2 = 1`. v2 is offset 6.
+# offset 6 -> state 0, hit 0 -> next_state 1.
+transition_table[(0, 0)] = 1
+
+# ==============================================================================
+# 3. Z3 SOLVER
+# ==============================================================================
+s = Solver()
+
+# Variables: The sequence of hits (0-7)
+hits = [Int(f'h_{i}') for i in range(FLAG_LEN)]
+# Variables: The sequence of states
+states = [Int(f's_{i}') for i in range(FLAG_LEN + 1)]
+
+# 1. Domain Constraints
+for h in hits:
+ s.add(h >= 0, h < NUM_HITS)
+
+# 2. Histogram Constraints
+for k in range(NUM_HITS):
+ s.add(Sum([If(h == k, 1, 0) for h in hits]) == target_histogram[k])
+
+# 3. FSM Simulation
+s.add(states[0] == START_STATE)
+
+# We need to construct the lookup logic.
+# Since many transitions are missing (implied 0/fail), we only encode the valid ones.
+# If a transition (state, hit) is NOT in our dictionary, it defaults to 0.
+
+# Determine max state index to iterate safely
+max_state = max([k[0] for k in transition_table.keys()] + [0])
+
+print("[*] Building Z3 constraints (this might take a second)...")
+
+for i in range(FLAG_LEN):
+ curr_s = states[i]
+ next_s = states[i+1]
+ curr_h = hits[i]
+
+ # Logic: next_s == Table[curr_s][curr_h]
+ # We construct a big If-Else chain or rely on the fact that the path MUST exist.
+ # Optimization: Only allow valid transitions found in the table.
+
+ # Collect all valid transitions as a constraint:
+ # Or( (curr_s == S1 And curr_h == H1 And next_s == S_next), ... )
+
+ valid_transitions = []
+
+ # We iterate through our known transitions
+ for (t_state, t_hit), t_next in transition_table.items():
+ valid_transitions.append(And(curr_s == t_state, curr_h == t_hit, next_s == t_next))
+
+ # If the solver picks a state/hit combo not in our table, it goes to state 0
+ # But since we demand the final state be 181, valid transitions must be taken.
+ # So we simply enforce that one of the valid transitions MUST occur.
+ s.add(Or(valid_transitions))
+
+# 4. Success Condition
+s.add(states[FLAG_LEN] == SUCCESS_STATE)
+
+print("[*] Solving...")
+if s.check() == sat:
+ m = s.model()
+ sol = "".join([str(m.evaluate(h).as_long()) for h in hits])
+ print("\n[SUCCESS] Sequence Found:")
+ print(sol)
+else:
+ print("\n[FAIL] UNSAT. No solution found.")