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 new file mode 100644 index 0000000..71197a5 Binary files /dev/null and b/2025/lake/misc/illegal_download/c_ki_7_taspe__prod._anate.mp3 differ 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 index 0000000..34e5694 --- /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 new file mode 100644 index 0000000..8521564 Binary files /dev/null and b/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3.extracted/10A/diff.png differ 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 new file mode 100644 index 0000000..e824eb1 Binary files /dev/null and b/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3.extracted/10A/image.jpg differ 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_ diff --git a/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3.extracted/10A/orig_image.jpg b/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3.extracted/10A/orig_image.jpg new file mode 100644 index 0000000..63215a8 Binary files /dev/null and b/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3.extracted/10A/orig_image.jpg differ diff --git a/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3.extracted/15E96D/image.jpg b/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3.extracted/15E96D/image.jpg new file mode 100644 index 0000000..9f6ed32 Binary files /dev/null and b/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3.extracted/15E96D/image.jpg differ diff --git a/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3.extracted/15E96D/orig_image.jpg b/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3.extracted/15E96D/orig_image.jpg new file mode 100644 index 0000000..9f6ed32 Binary files /dev/null and b/2025/lake/misc/illegal_download/extractions/c_ki_7_taspe__prod._anate.mp3.extracted/15E96D/orig_image.jpg differ 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. 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+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! 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+++ b/2025/lake/rev/drum_machine/Lake2025_Drum_Machine.rep/versioned/~index.bak @@ -0,0 +1,4 @@ +VERSION=1 +/ +NEXT-ID:0 +MD5:d41d8cd98f00b204e9800998ecf8427e diff --git a/2025/lake/rev/drum_machine/Lake2025_Drum_Machine.rep/versioned/~index.dat b/2025/lake/rev/drum_machine/Lake2025_Drum_Machine.rep/versioned/~index.dat new file mode 100644 index 0000000..b1e697f --- /dev/null +++ b/2025/lake/rev/drum_machine/Lake2025_Drum_Machine.rep/versioned/~index.dat @@ -0,0 +1,4 @@ +VERSION=1 +/ +NEXT-ID:0 +MD5:d41d8cd98f00b204e9800998ecf8427e diff --git a/2025/lake/rev/drum_machine/README.md b/2025/lake/rev/drum_machine/README.md new file mode 100644 index 0000000..e69de29 diff --git a/2025/lake/rev/drum_machine/main b/2025/lake/rev/drum_machine/main new file mode 100755 index 0000000..7dbb759 Binary files /dev/null and b/2025/lake/rev/drum_machine/main differ diff --git a/2025/lake/rev/drum_machine/main.i64 b/2025/lake/rev/drum_machine/main.i64 new file mode 100644 index 0000000..86dd1c3 Binary files /dev/null and b/2025/lake/rev/drum_machine/main.i64 differ 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 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"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.")