Skip to main content

Arcsight Logger 5.3 CentOS 5.9 Virtualisation

Get the VirtualBox CentOS 5 as a 7z file from:

http://virtualboxes.org/images/centos/
  • Uncompress and save the Centos64.vbox and Centos64.vdi files.
  • Open the Oracle VM VirtualBox manager and select the vbox file to install
  • Make > 20GB disc or there will not be room for logger.
  • Login as root/reverse
Install Gnome Desktop as follows and start:
  • yum groupinstall "X Window System" "GNOME Desktop Environment" 
  • login root/reverse and startx
Check version of CentOS and other prelim:
  • cat /etc/redhat-release #CentOS release 5.9 (Final)
  • uname -a # somewhere x86_64 
  • create user logger
  • open port 443
  • check logger bin file execute box and double click.
  • run in terminal
If not enough space to install logger:
  • C:\Program Files\Oracle\VirtualBox\VBoxManage.exe modifyhd "D:\virtual machines\Centos\centos64.vdi" --resize 20000
  • shutdown centos VM
  • attach gparted-live-0.16.2-1b-i486.iso to CD drive
  • resize sda up to increased size 
  • start Centos VM and find free PE (Physical Extents) #lvm lvgdisplay
Free PE / Size 369 / 11.53 GB
  • Find the current LE (Logical Extents) with #lvm lvdisplay /dev/mapper/VolGroup00-LogVol00
Current LE 220
  • lvm lvresize -l 589 /dev/mapper/VolGroup00-LogVol00
  • resize2fs  /dev/mapper/VolGroup00-LogVol00
  • df -h # To check Centos file system has new allocated space.
Complete install of Arcsight Logger. Log into HTTPS server admin/password

Comments

SecurityBlogger said…
Hi Geoff,
Thanks for the post. Is it possible for you to share a pre-configured VM with arcsight loaded in it. It saves lot of time & effort for many people. Pls suggest.

Thanks.

Popular posts from this blog

Digital Bandpass Filter FIR design - Python

The python code generates the Finite Impulse Response (FIR) filter coefficients for a lowpass filter (LPF) at 10 (Hz) cut off using firwin from scipy.  A highpass filter is then created by subtracting the lowpass filter output(s) from the output of an allpass filter. To do this the coefficients of the LPF are multiplied by -1 and 1 added to the centre tap (to create the allpass filter with subtraction). A second LPF is then created with a cutoff at 15 (Hz) and the bandpass filter formed by addition of the LPF and HPF coefficients. The program also generates a test sine wave of a given amplitude and power and to this noise from a Normal distribution is added.  The graph below shows the signal and nois, and the signal (green) after filtering. The input snr is approximately 3dB. The frequency response below shows the passband centered on 12.5 (Hz), the Nyquist frequency is 50 (Hz). from numpy import cos, sin, pi, absolute, arange from numpy.random import normal fr...

GNU Radio Waterfall and CW Filter

The following GNU radio application adds a waterfall spectrogram to the previous CW filter program. The plot show 4 CW signals in the audio band (lower sideband) at 7023 kHz. The 700Hz signal is filtered and output to the laptop headphones by the CW bandpass filter. The frequency display is shown after the script which is as follows: #!/usr/bin/env python from gnuradio import gr from gnuradio import audio from lpf_bpf_class import Bandpass from gnuradio.qtgui import qtgui from PyQt4 import QtGui import sys, sip     class cw_filter(gr.top_block):     def __init__(self):         gr.top_block.__init__(self)           sample_rate = 44100         out_rate = 8000         kaiser = Bandpass()         cw_flr = gr.fir_filter_fff(1, kaiser.bpftaps)         decimate = int...

QUISK SDR 40 metre RX

To test the previous GNU radio apps and evaluate the linux SDR QUISK software, the following 7MHz SDR was quickly assembled from available parts.  The heart of the hardware is the modulator section of a Marconi QPSK modem using Watkins Johnson M6E mixers with a 90 deg phase shift circuit modified for the xtal frequency of 7035kHz. Using the Softrock .quisk_conf.py file for QUISK with: fixed_vfo_freq = 7035000        sample_rate = 96000 The following daytime spectrograph was obtained on 40 metres. The SDR hardware (90% not used, including the 741 or TL081 op amps as they were noisy + insufficient gain-BW). The PC was a Toshiba Satellite L650 laptop with Ubuntu 11.10 OS.