This research aims to design and implement a steganalysis process through scanning and testing the tested images, each of 24-bit image, to find out if it contains a hidden information. The stego objects are embedded using S-Toll, and Developed Stegonography tool that modulate Least Significant Bit (LSB) of the pixel. Using of wavelet transformation of Haar wavelet type to produce feature vectors of coefficients ,these coefficients are mapped ,then using the ability of Probability Density Function(PDF) to minimize the features that will be use in the statistical tests:-The Standard tools Absolute Value Differences (AD), Mean Square Error(MSE), Signal- to- Noise Ratio(SNR), Peak Signal- to- Noise Ratio(PSNR), Normalized Cross -Correlation(NCC) , Correlation Quality (CQ).and in our research, we used the order statistics, such as:- (Mean, Variance, Skewness, Kurtosis ) . We tested 12 BMP images with different sizes, which had information hiding both steganography and watermarked.