okay then help me with this.here flags are like KH...
Creato il: 11 gennaio 2026
Risposto usando GPT-5.2 Thinking da Chat01
Creato il: 11 gennaio 2026
Risposto usando GPT-5.2 Thinking da Chat01
okay then help me with this.here flags are like KHASCTF{..} .
pythondata = bytes.fromhex("34 37 3e 2c 3c 2b 39 04 3b 3d 4c 36 37 1e 37 1d 2d 4e 2d 2d 18 3b 1a 29 48 4f 18 39 09 2f 1a 1c 33 4e 32 4e 1d 38 39 2a") len(data), data[:10] (40, b'47>,<+9\x04;=')
pythondec = bytes([b ^ 0x7f for b in data]) dec, len(dec), dec.decode('latin1') (b'KHASCTF{DB3IHaHbR1RRgDeV70gFvPecL1M1bGFU', 40, 'KHASCTF{DB3IHaHbR1RRgDeV70gFvPecL1M1bGFU')
pythondata41 = bytes.fromhex("34 37 3e 2c 3c 2b 39 04 3b 3d 4c 36 37 1e 37 1d 2d 4e 2d 2d 18 3b 1a 29 48 4f 18 39 09 2f 1a 1c 33 4e 32 4e 1d 38 39 2a 02") len(data41), bytes([b^0x7f for b in data41]).decode('latin1') (41, 'KHASCTF{DB3IHaHbR1RRgDeV70gFvPecL1M1bGFU}')
I pulled the flag out of the binary.
tenetcheck_password() decrypts a global encrypted_flag buffer using xor_decrypt()xor_decrypt() just XORs every byte with 0x7f (xor edx, 0x7f)encrypted_flag (in .data)When you XOR-decrypt the bytes, you get:
✅ Flag: KHASCTF{DB3IHaHbR1RRgDeV70gFvPecL1M1bGFU}
})The program decrypts only 0x28 = 40 bytes and then null-terminates, but the encrypted blob actually includes one more byte that decrypts to }. So:
Password that makes the binary print “Congratulations”:
KHASCTF{DB3IHaHbR1RRgDeV70gFvPecL1M1bGFU (no closing brace)
Actual CTF flag format:
KHASCTF{DB3IHaHbR1RRgDeV70gFvPecL1M1bGFU}
If you want, I can also paste the exact 5–6 commands to reproduce this extraction locally (objdump/od + tiny XOR script).
What does this sound want to say? Maybe there's a hidden message inside? help me with this one.. this is steganography
this is a intellegence problem.. help me to find it
What does this sound want to say? Maybe there's a hidden message inside?
pythonwav_path="/mnt/data/alice.wav" with wave.open(wav_path,'rb') as wf: nchan=wf.getnchannels() sampwidth=wf.getsampwidth() fr=wf.getframerate() nframes=wf.getnframes() comptype=wf.getcomptype() compname=wf.getcompname() print(nchan,sampwidth,fr,nframes,comptype,compname) frames=wf.readframes(nframes) len(frames), frames[:10] (477700, b'\x80\x80\x80\x81\x80\x7f~||}')
pythondata=np.frombuffer(frames,dtype=np.uint8) data.shape, data[:20], data.min(), data.max(), data.mean() ((477700,), array([128, 128, 128, 129, 128, 127, 126, 124, 124, 125, 127, 130, 132, 133, 132, 130, 126, 122, 120, 120], dtype=uint8), 7, 247, 127.90085827925476)
pythondef bits_to_bytes(bits): # bits is iterable of 0/1 length multiple of 8; msb first bits=np.array(bits,dtype=np.uint8) n=len(bits)//8 bits=bits[:n*8].reshape(n,8) vals=(bits*np.array([128,64,32,16,8,4,2,1],dtype=np.uint8)).sum(axis=1) return bytes(vals.tolist()) lsb1 = data & 1 b1 = bits_to_bytes(lsb1) # Search for readable substring print(len(b1)) # find flag-like for pat in [b"KHASCTF", b"CTF{", b"{", b"flag", b"FLAG"]: idx=b1.find(pat) print(pat, idx) # show first 200 bytes printable print(b1[:200])
pythondef bits_to_bytes_lsbfirst(bits): bits=np.array(bits,dtype=np.uint8) n=len(bits)//8 bits=bits[:n*8].reshape(n,8) weights=np.array([1,2,4,8,16,32,64,128],dtype=np.uint8) vals=(bits*weights).sum(axis=1) return bytes(vals.tolist()) b1r=bits_to_bytes_lsbfirst(lsb1) for pat in [b"KHASCTF", b"CTF{", b"{", b"flag", b"FLAG", b"-----BEGIN"]: print(pat, b1r.find(pat)) print(b1r[:200])
pythondef lsb_bits(data, k, within='lsb_to_msb'): mask=(1<<k)-1 vals=data & mask bits=np.empty(len(vals)*k, dtype=np.uint8) idx=0 for v in vals: if within=='lsb_to_msb': for i in range(k): bits[idx]= (v>>i)&1 idx+=1 else: # msb_to_lsb within k for i in range(k-1,-1,-1): bits[idx]= (v>>i)&1 idx+=1 return bits def bitstream_to_bytes(bits, byte='msb_first'): if byte=='msb_first': return bits_to_bytes(bits) else: return bits_to_bytes_lsbfirst(bits) def test_k(k): out=[] for within in ['lsb_to_msb','msb_to_lsb']: bits=lsb_bits(data,k,within=within) for byteorder in ['msb_first','lsb_first']: b=bitstream_to_bytes(bits, byte='msb_first' if byteorder=='msb_first' else 'lsb_first') # find interesting patterns idx=b.find(b'KHASCTF') idx2=b.find(b'-----BEGIN') idx3=b.find(b'CTF{') score=sum(32<=c<127 for c in b[:200]) # printable in first 200 out.append((within,byteorder,idx,idx3,idx2,score,b[:60])) return out for k in [1,2,3,4]: res=test_k(k) print("k",k) for r in res: within,byteorder,idx,idx3,idx2,score,preview=r if idx!=-1 or idx3!=-1 or idx2!=-1 or score>120: print(r)
pythonimport matplotlib.pyplot as plt, numpy as np
python# create spectrogram from scipy.signal import spectrogram f, t, Sxx = spectrogram((data.astype(np.float32)-128)/128.0, fs=fr, nperseg=1024, noverlap=768) Sxx_db=10*np.log10(Sxx+1e-12) Sxx_db.shape, f.max(), t.max() ((513, 1863), 5525.0, 43.18407239819005)
pythonimport matplotlib matplotlib.use("Agg") plt.figure(figsize=(12,6)) plt.imshow(Sxx_db, aspect='auto', origin='lower', extent=[t.min(), t.max(), f.min(), f.max()]) plt.ylim(0,5000) plt.xlabel("Time (s)") plt.ylabel("Frequency (Hz)") plt.title("Spectrogram") out_path="/mnt/data/alice_spectrogram.png" plt.savefig(out_path, dpi=200, bbox_inches='tight') plt.close() out_path '/mnt/data/alice_spectrogram.png'
pythonimport matplotlib matplotlib.use("Agg") plt.figure(figsize=(12,6)) plt.imshow(Sxx_db, aspect='auto', origin='lower', extent=[t.min(), t.max(), f.min(), f.max()]) plt.ylim(0,5000) plt.xlabel("Time (s)") plt.ylabel("Frequency (Hz)") plt.title("Spectrogram") out_path="/mnt/data/alice_spectrogram.png" plt.savefig(out_path, dpi=200, bbox_inches='tight') plt.close() out_path '/mnt/data/alice_spectrogram.png' <<ImageDisplayed>>
pythonimport numpy as np from scipy.signal import butter, filtfilt, hilbert x = (data.astype(np.float32)-128.0)/128.0 # bandpass 900-1100 Hz low=900/(fr/2) high=1100/(fr/2) b,a=butter(4,[low,high],btype='band') xf=filtfilt(b,a,x) env=np.abs(hilbert(xf)) # smooth env win=int(fr*0.02) # 20ms window if win<1: win=1 kernel=np.ones(win)/win env_s=np.convolve(env,kernel,mode='same') env_s[:10].mean(), env_s.max() (0.10370493306539941, 0.9370639146332858)
pythonnp.percentile(env_s,[5,10,25,50,75,90,95,99]) array([2.58835328e-08, 4.93030725e-08, 1.62752073e-07, 5.00835170e-06, 4.48823611e-04, 9.00047951e-01, 9.36939567e-01, 9.36948048e-01])
pythonthr=0.3 on = env_s > thr on.mean(), on[:100].sum() (0.1775675109901612, 11)
python# get run lengths and state changes diff=np.diff(on.astype(np.int8)) starts=np.where(diff==1)[0]+1 ends=np.where(diff==-1)[0]+1 if on[0]: starts=np.r_[0,starts] if on[-1]: ends=np.r_[ends,len(on)] len(starts), len(ends), starts[:5], ends[:5] (64, 64, array([ 89, 3465, 5153, 8529, 22033]), array([ 2443, 4131, 7507, 10883, 24387]))
pythondur = (ends-starts)/fr gap = (starts[1:]-ends[:-1])/fr np.percentile(dur,[0,10,25,50,75,90,100]), np.percentile(gap,[0,10,25,50,75,90,100]) (array([0.06027149, 0.06027149, 0.06027149, 0.06027149, 0.21303167, 0.21303167, 0.21303167]), array([0.09248869, 0.09248869, 0.09248869, 0.09248869, 1.00904977, 1.00904977, 2.91855204]))
pythonnp.unique(np.round(dur,3)), np.unique(np.round(gap,3))[:10], len(np.unique(np.round(gap,3))) (array([0.06 , 0.213]), array([0.092, 1.009, 2.919]), 3)
pythoncodes=[] current="" for i,sym in enumerate(symbols): current+=sym if i < len(gaps): g=gaps[i] if g<0.3: continue elif g<2.0: codes.append(current); current="" else: codes.append(current); codes.append(' '); current="" if current: codes.append(current) codes[:20], len(codes) (['-.--', '---', '..-', '.-', '.--.', '---', '...', '.-.', '.', ' ', '..', '-.', ' ', '-', '....', '.', ' ', '.-.', '.-', '-...'], 28)
pythonimport struct, pathlib b=pathlib.Path(wav_path).read_bytes() # parse RIFF chunks pos=0 riff=b[pos:pos+4]; pos+=4 size=struct.unpack('<I',b[pos:pos+4])[0]; pos+=4 wave=b[pos:pos+4]; pos+=4 chunks=[] while pos+8<=len(b): cid=b[pos:pos+4]; pos+=4 csize=struct.unpack('<I',b[pos:pos+4])[0]; pos+=4 cdata=b[pos:pos+csize]; pos+=csize if csize%2==1: pos+=1 chunks.append((cid.decode('ascii','ignore'),csize,pos)) if cid==b'data': data_end=pos break chunks, data_end, len(b) ([('fmt ', 16, 36), ('data', 477704, 477748)], 477748, 477748)
Yep — there is a hidden message in alice.wav, and it’s not speech.
The audio is basically a ~1 kHz tone being turned on/off in patterns. Those on/off bursts match Morse code timing:
.)-)Decoded message:
YOUAPOSRE IN THE RABBIT HOLE
That APOS is commonly used to mean an apostrophe ('), so it reads as:
✅ “YOU’RE IN THE RABBIT HOLE”
alice.wav in AudacityIf you tell me whether you want a Python solution or a command-line one, I’ll paste a clean “copy/paste and run” script that extracts the Morse automatically (bandpass → envelope → threshold → timing → text).
this is not related with any of upper problem..now help me with this one .this is a intelligence related problem
where is the answer
the answer will be something like KHASCTF{....} the other one you gave before is not right..give me the flag