StegExpose – Steganalysis Tool For Detecting Steganography In Images


StegExpose is a steganalysis tool specialized in detecting steganography in lossless images such as PNG and BMP (LSB – least significant bit type). It has a command line interface and is designed to analyse images in bulk while providing reporting capabilities and customization which is comprehensible for non forensic experts.

Steganography is the art or practice of concealing a message, image, or file within another message, image, or file. The word steganography combines the Ancient Greek words steganos, meaning “covered, concealed, or protected”, and graphein meaning “writing”.

StegExpose rating algorithm is derived from an intelligent and thoroughly tested combination of pre-existing pixel based staganalysis methods including:

  • Sample Pairs by Dumitrescu (2003)
  • RS Analysis by Fridrich (2001)
  • Chi Square Attack by Westfeld (2000)
  • Primary Sets by Dumitrescu (2002)

In addition to detecting the presence of steganography, StegExpose also features the quantitative steganalysis (determining the length of the hidden message).

Detecting Steganography In Images

Usage

[directory] – directory containing images to be diagnosed

[speed]Optional. Can be set to ‘default’ or ‘fast’ (set to ‘default if left blank). default mode will try and run all detectors whereas fast mode will skip the expensive detectors in case cheap detectors are able to determine if a file is clean.

[threshold]Optional. The default value here is 0.2 (for both speed modes) and determines the the level at which files are considered to be hiding data or not. A floating point value between 0 and 1 can be used here to update the threshold. If keeping false positives at bay is of priority, set the threshold slightly higher ~0.25. If reducing false negatives is more important, set the threshold slightly lower ~0.15

[csv file]Optional. Name of the csv (comma separated value) file that is to be generated. that If left blank, the program will simply output to the console.

Performance

The accuracy and speed of StegExpose has been tested on an image pool of 15,200 lossless images, where 5,200 of them were stego images (images with hidden data) created with the tools OpenStego, OpenPuff, SilentEye and LSB-Steganography. Embedding rates range from 2.5% to 25.3% with an average of 13.8% (secret data / cover image).

You can download StegExpose here:

master.zip

Or read more here.

Posted in: Countermeasures, Cryptography


Latest Posts:


Axiom - Pen-Testing Server For Collecting Bug Bounties Axiom – Pen-Testing Server For Collecting Bug Bounties
Project Axiom is a set of utilities for managing a small dynamic infrastructure setup for bug bounty, basically a pen-testing server out of the box with 1-line.
Quasar RAT - Windows Remote Administration Tool Quasar RAT – Windows Remote Administration Tool
Quasar is a fast and light-weight Windows remote administration tool coded in C#. Used for user support through day-to-day administrative work to monitoring.
Pingcastle - Active Directory Security Assessment Tool Pingcastle – Active Directory Security Assessment Tool
PingCastle is a Active Directory Security Assessment Tool designed to quickly assess the Active Directory security level based on a risk and maturity framework.
Second Order - Subdomain Takeover Scanner Tool Second Order – Subdomain Takeover Scanner Tool
Second Order Subdomain Takeover Scanner Tool scans web apps for second-order subdomain takeover by crawling the application and collecting URLs (and other data)
Binwalk - Firmware Security Analysis & Extraction Tool Binwalk – Firmware Security Analysis & Extraction Tool
Binwalk is a fast and easy to use Python-based firmware security analysis tool that allows for firmware analysis, reverse engineering & extracting of firmware.
zBang - Privileged Account Threat Detection Tool zBang – Privileged Account Threat Detection Tool
zBang is a risk assessment tool for Privileged Account Threat Detection on a scanned network, organizations & red teams can use it to identify attack vectors


Comments are closed.