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Echo hiding detection via autocorrelation analysis. Computes normalized autocorrelation at common echo delays. Regular echo patterns indicate steganographic echo hiding

PCM sample LSB statistical analysis. Performs chi-square test on LSBs grouped by value pairs to detect LSB replacement steganography

Extract LSB data from audio samples. Reads the least significant bit of each PCM sample and attempts to decode hidden data

Extract metadata from a WAV file including RIFF INFO chunks, format details, and all chunk information

Analyze silent sections in WAV audio for hidden data. Finds near-zero sample regions and checks their LSBs — silent sections with active LSBs are a strong stego indicator

Spectral analysis for hidden signals in WAV audio. Analyzes sample value distribution, zero-crossing rate, RMS energy per block, and detects anomalous quiet sections

File type identification via magic bytes. Reads the file header and matches against a comprehensive database of known file signatures. Checks for extension mismatch

Detect polyglot files valid as two or more formats simultaneously. Checks for multiple valid file signatures at different offsets (PDF+ZIP, PNG+PDF, etc.)

Detect and extract data appended after the image EOF marker. Checks for hidden data past PNG IEND, JPEG EOI, or BMP file size boundary

Extract and visualize a specific bit plane from an image channel. Shows dimensions, percentage of 1-bits, and an ASCII art preview

Per-channel statistical analysis for R, G, B, and A channels. Reports mean, standard deviation, entropy, min, max, and unique value count

Chi-square steganalysis attack on each color channel independently. Detects LSB replacement by testing whether adjacent pixel value pairs are equalized

Auto-detect steganography in an image. Runs chi-square, RS analysis, entropy, metadata, appended data, and tool signature checks. Returns a comprehensive JSON report

Per-block entropy analysis of an image. Splits the image into blocks and calculates Shannon entropy per block, flagging high-entropy regions

Generate a pixel value histogram with anomaly detection. Detects Pairs-of-Values (PoV) anomalies that indicate LSB steganography

Scan image file bytes for known steganography tool signatures. Checks against a database of patterns from OpenStego, Steghide, JSteg, F5, and others

Statistical LSB steganography detection. Runs chi-square and sample pair analysis on each color channel independently

Embed a message into an image using LSB steganography. Reads a PNG file, embeds the message into the least significant bits, and writes a new PNG file

Extract hidden data from image LSBs. Extracts bits from specified channels and bit plane, attempts UTF-8 decode, and shows hex dump

Deep metadata extraction from an image. For PNG: text chunks, chunk list, IHDR info. For JPEG: EXIF, comments, quantization tables, marker list

RS (Regular-Singular) steganalysis using the Fridrich-Goljan-Du method. Analyzes pixel groups to estimate LSB embedding rate per channel

Extract and analyze JPEG COM (comment) markers. Checks for hidden data patterns, unusually large comments, and high-entropy content

DCT coefficient distribution analysis for steganography detection. Analyzes Y-channel pixel value distribution and SOS entropy data to detect anomalies caused by JSteg, F5, and OutGuess

Detect double JPEG compression artifacts. Identifies characteristic blocking artifacts and quantization table anomalies — a common indicator of image tampering or stego embedding

Deep EXIF analysis including GPS coordinates, timestamps, software info, thumbnails, maker notes, and all IFD entries. Flags forensically interesting fields

Quantization table analysis with quality estimation. Displays all quantization tables in 8x8 grid format and estimates the JPEG quality factor

Parse JPEG markers/segments with offsets and sizes. Shows internal structure including all markers, positions, and segment lengths

Compare EXIF thumbnail against the main JPEG image. Dimension or content mismatch indicates post-capture modification — a common forensic artifact

Detect first-letter, first-word, last-letter, last-word, or nth-character patterns (acrostic messages) hidden across lines of text

Auto-detect text steganography. Checks for zero-width characters, whitespace encoding, invisible Unicode, homoglyphs, and unusual patterns

Detect Unicode homoglyph substitutions in text. Identifies non-ASCII characters that visually resemble ASCII letters (Cyrillic a vs Latin a, etc.)

Scan text for ALL invisible Unicode characters. Checks every character against the full invisible character database and reports positions and names

Full Unicode character distribution analysis. Categorizes all characters by script block, performs entropy analysis, and detects suspicious script mixing

Detect whitespace encoding in text. Checks each line for trailing whitespace patterns where space=0 and tab=1 might encode binary data

Extract a whitespace-encoded message from text. Reads trailing whitespace from each line and decodes space=0/tab=1 binary encoding

Detect zero-width characters (ZWSP, ZWNJ, ZWJ, BOM) in text. Reports positions, counts, and potential encoded message length

Embed a secret message into cover text using zero-width characters. Encodes message to binary and maps bits to ZWSP(0)/ZWNJ(1)

Decode a zero-width character encoded message. Extracts ZWC chars and decodes binary: ZWSP=0, ZWNJ=1 (attempts both polarities)