Top 7 Hacker Blog list for Hackers

Posted on 9:05 PM by Tina

  1. Exploit DB: An archive of exploits and vulnerable software by Offensive Security. The site collects exploits from submissions and mailing lists and concentrates them in a single database.
  2. Metasploit: Find security issues, verify vulnerability mitigations & manage security assessments with Metasploit. Get the worlds best penetration testing software now.
  3. The Hacker News: The Hacker News — most trusted and widely-acknowledged online cyber security news magazine with in-depth technical coverage for cybersecurity.
  4. HackRead: HackRead is a News Platform that centers on InfoSec, Cyber Crime, Privacy, Surveillance, and Hacking News with full-scale reviews on Social Media Platforms.
  5. KitPloit: Leading source of Security Tools, Hacking Tools, CyberSecurity and Network Security.
  6. Packet Storm: Information Security Services, News, Files, Tools, Exploits, Advisories and Whitepapers.
  7. Hacked Gadgets: A resource for DIY project documentation as well as general gadget and technology news.

DSploit

Posted on 11:54 PM by Tina

DSploit

After playing with the applications installed on the Pwn Pad, I found that the most important application (at least for me) was missing from the pre-installed apps. Namely, DSploit. Although DSploit has tons of features, I really liked the multiprotocol password sniffing (same as dsniff) and the session hijacking functionality.

The DSploit APK in the Play Store was not working for me, but the latest nightly on http://dsploit.net worked like a charm.

Most features require that you and your target uses the same WiFi network, and that's it. It can be Open, WEP, WPA/WPA2 Personal. On all of these networks, DSploit will sniff the passwords - because of the active attacks. E.g. a lot of email clients still use IMAP with clear text passwords, or some webmails, etc. 

First, DSploit lists the AP and the known devices on the network. In this case, I chose one victim client.


In the following submenu, there are tons of options, but the best features are in the MITM section. 


Stealthiness warning: in some cases, I received the following popup on the victim Windows:


This is what we have under the MITM submenu:


Password sniffing

For example, let's start with the Password Sniffer. It is the same as EvilAP and DSniff in my previous post. With the same results for the popular Hungarian webmail with the default secure login checkbox turned off. Don't forget, this is not an Open WiFi network, but one with WPA2 protection!


Session hijack

Now let's assume that the victim is very security-aware and he checks the secure login checkbox. Another cause can be that the victim already logged in, long before we started to attack. The session hijacking function is similar to the Firesheep tool, but it works with every website where the session cookies are sent in clear text, and there is no need for any additional support.

In a session hijacking attack (also called "sidejacking"), after the victim browser sends the authentication cookies in clear text, DSploit copies these cookies into its own browser, and opens the website with the same cookies, which results in successful login most of the time. Let's see session hijacking in action!

Here, we can see that the session cookies have been sniffed from the air:


Let's select that session, and be amazed that we logged into the user's webmail session.




Redirect traffic

This feature can be used both for fun or profit. For fun, you can redirect all the victim traffic to http://www.kittenwar.com/. For-profit, you can redirect your victim to phishing pages.


Replace images, videos

I think this is just for fun here. Endless Rick Rolling possibilities.


Script injection

This is mostly for profit. client-side injection, drive-by-exploits, endless possibilities.

Custom filter

If you are familiar with ettercap, this has similar functionalities (but dumber), with string or regex replacements. E.g. you can replace the news, stock prices, which pizza the victim ordered, etc. If you know more fun stuff here, please leave a comment (only HTTP scenario - e.g. attacking Facebook won't work).

Additional fun (not in DSploit) - SSLStrip 

From the MITM section of DSploit, I really miss the SSLStrip functionality. Luckily, it is built into the Pwn Pad. With the help of SSLStrip, we can remove the references to HTTPS links in the clear text HTTP traffic, and replace those with HTTP. So even if the user checks the secure login checkbox at freemail.hu, the password will be sent in clear text - thus it can be sniffed with DSniff.

HTML source on the client-side without SSLstrip:


HTML source on the client-side with SSL strip:


With EvilAP, SSLStrip, and DSniff, the password can be stolen. No hacking skillz needed.

Lessons learned here

If you are a website operator where you allow your users to login, always:
  1. Use HTTPS with a trusted certificate, and redirect all unencrypted traffic to HTTPS ASAP
  2. Mark the session cookies with the secure flag
  3. Use HSTS to prevent SSLStrip attacks
If you are a user:
  1. Don't trust sites with your confidential data if the above points are not fixed. Choose a more secure alternative
  2. Use HTTPS everywhere plugin
  3. For improved security, use VPN
Because hacking has never been so easy before.
And last but not least, if you like the DSploit project, don't forget to donate them!

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BeEF: Browser Exploitation Framework

Posted on 9:24 AM by Tina


"BeEF is the browser exploitation framework. A professional tool to demonstrate the real-time impact of XSS browser vulnerabilities. Development has focused on creating a modular structure making new module development a trivial process with the intelligence residing within BeEF. Current modules include the first public Inter-protocol Exploit, a traditional browser overflow exploit, port scanning, keylogging, clipboard theft and more." read more...


Website: http://www.bindshell.net/tools/beef


Related word


We are living in the era of fourth industrial revolution(4IR), where Artificial intelligence has a significant role to play. This 4IR technology embedded within societies and even into the human body. From Computer enthusiasts to common people, everyone should be aware and learn this breakthrough technology.
We think about gigantic Robots from Transformers when we hear about Artificial Intelligence(AI) which is a fiction in the past but a fact today, capable of transforming the whole tech world. The field of AI consists of more than Robots such as personal assistants, self-driving cars, apprenticeship learning, behavior cloning and so on. To learn about this advanced technology, thanks to the online learning resources which offers great content to get started with artificial intelligence.

Here are the 5 free e-learning courses on Artificial Intelligence

1. UC Berkeley CS188 Intro to AI

Get started with UC Berkeley AI course, this course is absolutely for beginners who are unaware of Artificial intelligence. It doesn't need any prior computer knowledge to know about AI. UC Berkeley allows anyone to learn this course for free. This course is systematically presented and consists of the following:
  • Course Schedule
  • Complete sets of Lecture Slides and Videos
  • Interface for Electronic Homework Assignments
  • Section Handouts
  • Specs for the Pacman Projects
  • Source files and PDFs of past Berkeley CS188 exams
  • Form to apply for edX hosted autograders for homework and projects (and more)
  • Contact information
Aside from this, you can also browse the following courses as well from UC Berkeley that are part of AI course:
  • Machine Learning: CS189, Stat154
  • Intro to Data Science: CS194-16
  • Probability: EE126, Stat134
  • Optimization: EE127
  • Cognitive Modeling: CogSci131
  • Machine Learning Theory: CS281A, CS281B
  • Vision: CS280
  • Robotics: CS287
  • Natural Language Processing: CS288

2. Artificial Intelligence: Principles and Techniques

This course is offered by Stanford with great content that includes topics, videos, assignments, projects, and exams. The whole course mainly focuses on the complex real-world problems and try to find similarity between web search, speech recognition, face recognition, machine translation, autonomous driving, and automatic scheduling. Here you will learn the foundational principles of AI and implement some the AI systems. The goal of this course is to help you tackle the real-world situations with the help of AI tools. So, it is the best for the beginner to get started with AI.

3. Learn with GOOGLE AI

Who will dislike the course from Google? absolutely no one. This company is one of the early adopters of AI has a lot to offer to learners. Learn with Google AI is an education platform for people at all experience levels, it is free to access and browse content. The education resources provided by Google is from the machine learning experts of the company. These resources are the collections of lessons, tutorials, and Hands-on exercises that help you start learning, building, and problem-solving.

4. MIT 6.S094: Deep Learning for Self-Driving Cars

This course gives the practical overview of Deep Learning and AI. It is the course for beginners, also for the people who are getting started with Machine Learning. The course also offers a lot of benefits to the experienced and advanced researchers in the field deep learning. This MIT's course takes people into the journey of Deep Learning with the applied theme of building Self-Driving cars. However, the course also offers slides and videos to engage the learners.

5. Fundamentals of Deep Learning for Computer Vision

This course is offered by Nvidia and Nvidia Deep learning Institute. Computer Vision is one of the disciplines of AI that acquire, analyze, process, and understand images. The course is completely free and everyone who is enthusiast about AI can access and learn the course. It is a hands-on course that able to provide basics of deep learning and deployment of neural networks. With this. you will also learn the following:
  • Identify the ingredients required to start a Deep Learning project.
  • Train a deep neural network to correctly classify images it has never seen before.
  • Deploy deep neural networks into applications.
  • Identify techniques for improving the performance of deep learning applications.
  • Assess the types of problems that are candidates for deep learning.
  • Modify neural networks to change their behavior.

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SANS SEC575 Mentor Class

Posted on 12:25 AM by Tina

Hi everyone,

Great news! I will be mentoring SANS 575: Mobile Device Security and Ethical Hacking in Luxembourg on Thursday evenings 18:00-20:00, starting from January 15, 2015.

Mentor classes are special, 10 week-format SANS classroom sessions that give the students time to absorb and master the same material with the guidance of a trained security professional.

Students receive all the same course materials used at SANS conferences and study at a more leisurely pace, so students will have:
  • Hardcopy set of SANS course books
  • Mentor Program study materials
  • Weekly Mentor led sessions
Prior to the weekly Mentor-led classroom sessions, students study SANS course material at their own pace. Each week, students meet with other professionals in their hometown area and the SANS mentor, who leads topical discussions pointing out the most salient features of the weekly material studied, provides hands-on demonstrations, and answer questions. The Mentor's goal is to help student's grasp the more difficult material, master the exercises, demonstrate the tools and prepare for GIAC certification.

On SANS SEC575, we will learn about mobile device infrastructures, policies and management, we will see the security models of the different platforms, like the data storage and file system architecture. We will also see how to unlock, root and jailbreak mobile devices in order to prepare them for data extraction and further testing. In the second half of the course, we will learn how to perform static and dynamic mobile application analysis, the usage of automated application analysis tools and how to manipulate application behavior. Last but not least, we will see how to perform mobile penetration testing that includes fingerprinting mobile devices, wireless network probing and scanning, attacking wireless infrastructures, using network manipulation attacks and attacks against mobile applications and back-end applications.

For more info, here is the link for the class: http://www.sans.org/mentor/class/sec575-luxembourg-15jan2015-david-szili
My Mentor bio: http://www.sans.org/mentor/bios#david-szili 

Information on the class, special discounts and applying for the class: szili_(dot)_david_(at)_hotmail_(dot)_com

Additional info can be also found at: https://www.sans.org/mentor
Some special price is also available for this course. A few examples: http://www.sans.org/mentor/specials

Best regards,
David

Such low price. Very SANS. Much learning. Wow!

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The Pillager 0.7 Release

Posted on 11:49 PM by Tina

I spent the last couple days recoding the Pillager, getting rid of bugs, optimizing code, making it more extendable and more solid overall. So this post is to release the new code.  However, with that being said, the Pillager is in mass revision right now and I added some more developers to the team to add a whole host of new database attacking features as well as moving past databases and into other areas of post exploitation pillaging. Soon to be released..  As usual this tool and any tool i create is based on my issues when performing penetration tests and solves those problems.. If you have any insight or comments i will certainly take them into consideration for future releases.

For now check out Version 0.7.. Named searches and Data searches via external config files are now functioning properly as well as other bugs fixed along the way... Drop this in a BT5 VM and make sure you have your DB python stuff installed per the help docs and you should be good to go.  If you are looking to use oracle you are going to have to install all the oracle nonsense from oracle or use a BT4r2 vm which has most of the needed drivers minus cxoracle which will need to be installed.

http://consolecowboys.org/pillager/pillage_0.7.zip



Ficti0n$ python pillager.py
 
[---] The Database Pillager (DBPillage) [---]
[---] CcLabs Release [---]
[---] Authors: Ficti0n, [---]
[---] Contributors: Steponequit [---]
[---] Version: 0.7 [---]
[---] Find Me On Twitter: ficti0n [---]
[---] Homepage: http://console-cowboys.blogspot.com [---]

Release Notes:
 --Fixed bugs and optimized code
 --Added Docstrings
 --Fixed Named and Data searches from config files                 

About:
The Database Pillager is a multiplatform database tool for searching and browsing common
database platforms encountered while penetration testing. DBPillage can be used to search
for PCI/HIPAA data automatically or use DBPillage to browse databases,display data.
and search for specified tables/data instances.
DBpillage was designed as a post exploitation pillaging tool with a goal of targeted
extraction of data without the use of database platform specific GUI based tools that
are difficult to use and make my job harder.

Supported Platforms:
        --------------------
-Oracle
-MSSQL
-MYSQL
        -PostGreSQL
     

        Usage Examples:
        ************************************************************************
        
        For Mysql Postgres and MsSQL pillaging:
        ---------------------------------------
        python dbPillage -a [address] -d [dbType] -u [username] -p [password]
        
        
        For Oracle pillaging you need a SID connection string:
        ------------------------------------------------------
        python dbPillage-a [address]/[sid] -d [dbType] -u [username] -p [password]
        

        Grab some hashes and Hipaa specific:(Default is PCI)
        ------------------------------------
        python dbPillage -a [address] -d [dbType] -u [username] -p [password] --hashes -s hipaa


Drop into a SQL CMDShell:
-------------------------
        python dbpillage.py -a [address] -d [dbType] -u [username] -p [password] -q

Config file specified searches:
-------------------------------
Search for data Items from inputFiles/data.txt:
        python dbpillage.py -a [address] -d [dbType] -u [username] -p [password] -D

Search for specific table names from inputFiles/tables.txt:
python dbpillage.py -a [address] -d [dbType] -u [username] -p [password] -N

     
     
        Switch Options:
        ---------------------
        -# --hashes = grab database password hashes
        -l --limit  = limit the amount of rows that are searched or when displaying data (options = any number)
        -s --searchType = Type of data search you want to perform (options:pci, hipaa, all)(PCI default)
        -u --user = Database servers username
        -p --pass = Password for the database server
        -a --address = Ipaddress of the database server
        -d --database = The database type you are pillageing (options: mssql,mysql,oracle,postgres)
        -r --report = report format (HTML, XML, screen(default))
        -N --nameSearch = Search via inputFiles/tables.txt
        -D --dataSearch = Targeted data searches per inputFiles/data.txt
-q --queryShell = Drop into a SQL CMDshell in mysql or mssql
     
     
        Prerequisites:
        -------------
        python v2  (Tested on Python 2.5.2 BT4 R2 and BT5 R3 - Oracle stuff on BT4r2 only unless you install the drivers from oracle)
        cx_oracle (cx-oracle.sourceforge.net)
        psycopg2  (initd.org/psycopg/download/)
        MySQLdb   (should be on BT by default)
        pymssql   (should be on BT by default)
     

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$$$ Bug Bounty $$$

Posted on 9:52 AM by Tina

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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Reversing Rust String And Str Datatypes

Posted on 2:43 AM by Tina

Lets build an app that uses several data-types in order to see how is stored from a low level perspective.

Rust string data-types

The two first main objects are "str" and String, lets check also the constructors.




Imports and functions

Even such a basic program links several libraries and occupy 2,568Kb,  it's really not using the imports and expots the runtime functions even the main. 


Even a simple string operation needs 544 functions on rust:


Main function

If you expected see a clear main function I regret to say that rust doesn't seem a real low-level language In spite of having a full control of the memory.


Ghidra turns crazy when tries to do the recursive parsing of the rust code, and finally we have the libc _start function, the endless loop after main is the way Ghidra decompiles the HLT instruction.


If we jump to main, we see a function call, the first parameter is rust_main as I named it below:



If we search "hello world" on the Defined Strings sections, matches at the end of a large string


After doing "clear code bytes" we can see the string and the reference:


We can see that the literal is stored in an non null terminated string, or most likely an array of bytes. we have a bunch of byte arrays and pointed from the code to the beginning.
Let's follow the ref.  [ctrl]+[shift]+[f] and we got the references that points to the rust main function.


After several naming thanks to the Ghidra comments that identify the rust runtime functions, the rust main looks more understandable.
See below the ref to "hello world" that is passed to the string allocated hard-coding the size, because is non-null terminated string and there is no way to size this, this also helps to the rust performance, and avoid the c/c++ problems when you forgot the write the null byte for example miscalculating the size on a memcpy.


Regarding the string object, the allocator internals will reveal the structure in static.
alloc_string function call a function that calls a function that calls a function and so on, so this is the stack (also on static using the Ghidra code comments)

1. _$LT$alloc..string..String$u20$as$u20$core..convert..From$LT$$RF$str$GT$$GT$::from::h752d6ce1f15e4125
2. alloc::str::_$LT$impl$u20$alloc..borrow..ToOwned$u20$for$u20$str$GT$::to_owned::h649c495e0f441934
3. alloc::slice::_$LT$impl$u20$alloc..borrow..ToOwned$u20$for$u20$$u5b$T$u5d$$GT$::to_owned::h1eac45d28
4. alloc::slice::_$LT$impl$u20$$u5b$T$u5d$$GT$::to_vec::h25257986b8057640
5. alloc::slice::hack::to_vec::h37a40daa915357ad
6. core::slice::_$LT$impl$u20$$u5b$T$u5d$$GT$::len::h2af5e6c76291f524
7. alloc::vec::Vec$LT$T$GT$::extend_from_slice::h190290413e8e57a2
8. _$LT$alloc..vec..Vec$LT$T$GT$$u20$as$u20$alloc..vec..SpecExtend$LT$$RF$T$C$core..slice..Iter$LT$T$GT$$GT$$GT$::spec_extend::h451c2f92a49f9caa
...


Well I'm not gonna talk about the performance impact on stack but really to program well reusing code grants the maintainability and its good, and I'm sure that the rust developed had measured that and don't compensate to hardcode directly every constructor.

At this point we have two options, check the rust source code, or try to figure out the string object in dynamic with gdb.

Source code

Let's explain this group of substructures having rust source code in the hand.
The string object is defined at string.rs and it's simply an u8 type vector.



And the definition of vector can be found at vec.rs  and is composed by a raw vector an the len which is the usize datatype.



The RawVector is a struct that helds the pointer to the null terminated string stored on an Unique object, and also contains the allocation pointer, here raw_vec.rs definition.



The cap field is the capacity of the allocation and a is the allocator:



Finally the Unique object structure contains a pointer to the null terminated string, and also a one byte marker core::marker::PhantomData



Dynamic analysis

The first parameter of the constructor is the interesting one, and in x64 arch is on RDI register, the extrange sequence RDI,RSI,RDX,RCX it sounds like ACDC with a bit of imagination (di-si-d-c)

So the RDI parĂ¡meter is the pointer to the string object:



So RDI contains the stack address pointer that points the the heap address 0x5578f030.
Remember to disable ASLR to correlate the addresses with Ghidra, there is also a plugin to do the synchronization.

Having symbols we can do:
p mystring

and we get the following structure:

String::String {
  vec: alloc::vec::Vec {
    buf: alloc::raw_vec::RawVec {
      ptr: core::ptr::unique::Unique {
        pointer: 0x555555790130 "hello world\000",
        _marker: core::marker::PhantomData
     },
     cap: 11,
     a: alloc::alloc::Global
   },
   len: 11
  }
}

If the binary was compiled with symbols we can walk the substructures in this way:

(gdb) p mystring.vec.buf.ptr
$6 = core::ptr::unique::Unique {pointer: 0x555555790130 "hello world\000", _marker: core::marker::PhantomData}

(gdb) p mystring.vec.len

$8 = 11

If we try to get the pointer of each substructure we would find out that the the pointer is the same:


If we look at this pointer, we have two dwords that are the pointer to the null terminated string, and also 0xb which is the size, this structure is a vector.


The pionter to the c string is 0x555555790130




This seems the c++ string but, let's look a bit deeper:

RawVector
  Vector:
  (gdb) x/wx 0x7fffffffdf50
  0x7fffffffdf50: 0x55790130  -> low dword c string pointer
  0x7fffffffdf54: 0x00005555  -> hight dword c string pointer
  0x7fffffffdf58: 0x0000000b  -> len

0x7fffffffdf5c: 0x00000000
0x7fffffffdf60: 0x0000000b  -> low cap (capacity)
0x7fffffffdf64: 0x00000000  -> hight cap
0x7fffffffdf68: 0xf722fe27  -> low a  (allocator)
0x7fffffffdf6c: 0x00007fff  -> hight a
0x7fffffffdf70: 0x00000005 

So in this case the whole object is in stack except the null-terminated string.




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ShellShock Payload Sample Linux.Bashlet

Posted on 11:44 PM by Tina



Someone kindly shared their sample of the shellshock malware described by the Malware Must die group - you can read their analysis here:

File: fu4k_2485040231A35B7A465361FAF92A512D
Size: 152
MD5: 2485040231A35B7A465361FAF92A512


VIrustotal

SHA256: e74b2ed6b8b005d6c2eea4c761a2565cde9aab81d5005ed86f45ebf5089add81
File name: trzA114.tmp
Detection ratio: 22 / 55
Analysis date: 2014-10-02 05:12:29 UTC ( 6 hours, 50 minutes ago )
Antivirus Result Update
Ad-Aware Linux.Backdoor.H 20141002
Avast ELF:Shellshock-A [Expl] 20141002
Avira Linux/Small.152.A 20141002
BitDefender Linux.Backdoor.H 20141002
DrWeb Linux.BackDoor.Shellshock.2 20141002
ESET-NOD32 Linux/Agent.AB 20141002
Emsisoft Linux.Backdoor.H (B) 20141002
F-Secure Linux.Backdoor.H 20141001
Fortinet Linux/Small.CU!tr 20141002
GData Linux.Backdoor.H 20141002
Ikarus Backdoor.Linux.Small 20141002
K7AntiVirus Trojan ( 0001140e1 ) 20141001
K7GW Trojan ( 0001140e1 ) 20141001
Kaspersky Backdoor.Linux.Small.cu 20141001
MicroWorld-eScan Linux.Backdoor.H 20141002
Qihoo-360 Trojan.Generic 20141002
Sophos Linux/Bdoor-BGG 20141002
Symantec Linux.Bashlet 20141002
Tencent Win32.Trojan.Gen.Vdat 20141002
TrendMicro ELF_BASHLET.A 20141002
TrendMicro-HouseCall ELF_BASHLET.A 20141002
nProtect Linux.Backdoor.H 20141001
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