Featured image of post Steganography Detection with Stegdetect

Steganography Detection with Stegdetect

Stegdetect is an automated tool for detecting steganographic content in images. It is capable of detecting several different steganographic methods to embed hidden information in JPEG images. Currently, the detectable schemes are

  • jsteg,
  • jphide (unix and windows),
  • invisible secrets,
  • outguess 01.3b,
  • F5 (header analysis),
  • appendX and camouflage.

Stegbreak is used to launch dictionary attacks against JSteg-Shell, JPHide and OutGuess 0.13b.

Stegdetect and Stegbreak have been developed by Niels Provos.

Automated Detection of New Steganographic Methods

Stegdetect 0.6 supports linear discriminant analysis. Given a set of normal images and a set of images that contain hidden content by a new steganographic application, Stegdetect can automatically determine a linear detection function that can be applied to yet unclassified images.

Linear discriminant analysis computes a dividing hyperplane that separates the no-stego images from the stego images. The hyperplane is characterized as a linear function. The learned function can be saved for later use on new images.

Stegdetect supports several different feature vectors and automatically computes receiver operating characteristic which can be used to evaluate the quality of the automatically learned detection function.

You can download stegdetect from the download page, including stegbreak and Xsteg, the graphical frontend to stegdetect.


$ stegdetect \*.jpg
cold\_dvd.jpg : outguess(old)(\*\*\*) jphide(\*)
dscf0001.jpg : negative
dscf0002.jpg : jsteg(\*\*\*)
dscf0003.jpg : jphide(\*\*\*)
$ stegbreak -tj dscf0002.jpg
Loaded 1 files...
dscf0002.jpg : jsteg(wonderland)
Processed 1 files, found 1 embeddings.
Time: 36 seconds: Cracks: 324123,   8915 c/s


Further information on how stegdetect works and on how to use it can be found in the following links.

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