Have a keen interest on scanning over 12000 IP's a week for vulnerabilities? Excited about the thought of assessing over 100 web applications for common vulnerabilities? If so, an exciting, as well as demanding, position has become available within the Managed Vulnerability Scanning (MVS) team at SensePost.
Job Title: Vulnerability Management Analyst
Salary Range: Industry standard, commensurate with experience
Location: Johannesburg/Pretoria, South Africa
We are looking for a talented person to join our MVS team to help manage the technology that makes up our Broadview suite and, more importantly, finding vulnerabilities, interpreting the results and manually verifying them. We are after talented people with a broad skill set to join our growing team of consultants. Our BroadView suite of products consists of our extensive vulnerability scanning engine, which looks at both the network-layer and the application layer, as well as our extensive DNS footprinting technologies.
The role of the Vulnerability Management Analyst will possess the following skills:
SensePost is an equal opportunity partner.
It was a great event with some great presentations, including (if I may say) our own Ian deVilliers' *Security Application Proxy Pwnage*. Another presentation that caught my attention was Haroon Meer's *Penetration Testing considered harmful today*. In this presentation Haroon outlines concerns he has with Penetration Testing and suggests some changes that could be made to the way we test in order to improve the results we get. As you may know a core part of SensePost's business, and my career for almost 13 years, has been security testing, and so I followed this talk quite closely. The raises some interesting ideas and I felt I'd like to comment on some of the points he was making.
As I understood it, the talk's hypothesis could be (over) simplified as follows:
Next, I'd like to consider the assertion that penetration testing or even security assessment is presented as the "solution" to the security problem. While it's true that many companies do employ regular testing, amongst our customers it's most often used as a part of a broader strategy, to achieve a specific purpose. Security Assessment is about learning. Through regular testing, the tester, the assessment team and the customer incrementally understand threats and defenses better. Assumptions and assertions are tested and impacts are demonstrated. To me the talk's point is like saying that cholesterol testing is being presented as a solution to heart attacks. This seems untrue. Medical testing for a specific condition helps us gauge the likelihood of someone falling victim to a disease. Having understood this, we can apply treatments, change behavior or accept the odds and carry on. Where we have made changes, further testing helps us gauge whether those changes were successful or not. In the same way, security testing delivers a data point that can be used as part of a general security management process. I don't believe many people are presenting testing as the 'solution' to the security problem.
It is fair to say that the entire process within which security testing functions is not having the desired effect; Hence the talk's reference to a "security apocalypse". The failure of security testers to communicate the severity of the situation in language that business can understand surely plays a role here. However, it's not clear to me that the core of this problem lies with the testing component.
A significant, and interesting component of the talk's thesis has to do with the role of "0-day" in security and testing. He rightly points out that even a single 0-day in the hands of an attacker can completely change the result of the test and therefore the situation for the attacker. He suggests in his talk that the testing teams who do have 0-day are inclined to over-emphasise those that they have, whilst those who don't have tend to underemphasize or ignore their impact completely. Reading a bit into what he was saying, you can see the 0-day as a joker in a game of cards. You can play a great game with a great hand but if your opponent has a joker he's going to smoke you every time. In this the assertion is completely true. The talk goes on to suggest that testers should be granted "0-day cards", which they can "play" from time to time to be granted access to a particular system and thereby to illustrate more realistically the impact a 0-day can have. I like this idea very much and I'd like to investigate incorporating it into the penetration testing phase for some of our own assessments.
What I struggle to understand however, is why the talk emphasizes the particular 'joker' over a number of others that seems apparent to me. For example, why not have a "malicious system administrator card", a "spear phishing card", a "backdoor in OTS software" card or a "compromise of upstream provider" card? As the 'compromise' of major UK sites like the Register and the Daily Telegraph illustrate there are many factors that could significantly alter the result of an attack but that would typically fall outside the scope of a traditional penetration test. These are attack vectors that fall within the victim's threat model but are often outside of their reasonable control. Their existence is typically not dealt with during penetration testing, or even assessment, but also cannot be ignored. This doesn't doesn't invalidate penetration testing itself, it simply illustrates that testing is not equal to risk management and that risk management also needs to consider factors beyond the client's direct control.
The solution to this conundrum was touched on in the presentation, albeit very briefly, and it's "Threat Modeling". For the last five years I've been arguing that system- or enterprise-wide Threat Modeling presents us with the ability to deal with all these unknown factors (and more) and perform technical testing in a manner that's both broader and more efficient.
Threat Modeling makes our testing smarter, broader, more efficient and more relevant and as such is a vital improvement to our risk assessment methodology.
Solving the security problem in total is sadly still going to take a whole lot more work...
While I was evaluating a research idea about a SCADA network router during the past week, I used available tools and resources on the Internet to unpack the device firmware and search for interesting components. During security assessments, you may find interesting embedded devices available on the network. Whilst many don't look at the feasibility of doing firmware analysis, I decided to document the steps I took to analysis my target firmware, so you can take the similar approach in the case of assessing such devices. This could also be a good indication on the feasibility of automating this process (An unfinished project was launched in 2007: http://www.uberwall.org/bin/project/display/85/UWfirmforce).
The following process would be easy for most of you who use *nix systems on a daily bases:
Step 1) Scanning the firmware image
The BinWalk tool is useful for scanning firmware image files to identify embedded file systems and compressed streams inside. It can detect common bootloaders, file systems and compressed archives inside a given firmware image file. Since it works by scanning for signature and magic values, it usually has false positives and the results need to be verified manually.
U-Boot bootloader (yes, it's German :-)) signature was identified at offset 262144 and the uImage header information, such as creation date, CPU type, etc appears to be valid. This bootloader was followed by a gzip compressed stream, which probably is the zImage kernel and a squashfs file system at offset 1522004. We will attempt to extract this file system in the next step. The following are common bootloaders that are used in embedded devices with ARM CPU:
The bootloader's task is to load the kernel image at the correct address and pass initial parameters to it. So in most cases we are not interested in analysing the bootloader itself, but in the root file system.
Step 2) Extracting file systems
First, I extracted the uImage content at offset 262144 by using dd command and then used uboot-mkimage (packages.debian.org/uboot-mkimage) to test if it's a valid uImage file and to discover more information about it:
The image format was valid and it contained two other file system images with 1MB and 2MB sizes, which probably are kernel zImage and root file systems (RAMdisk). If you check the uImage file format, you will notice a 64 bytes long header. There is a “multi-file” image list that contains each image size in bytes and this list is terminated by a 32bit zero. So, I would need to skip 64+2*4+4=76 bytes from start of the uImage file to get to the first Image content that would be kernel zImage:
The file command could not detect kernel image or squshfs in the extracted file systems; this might be due to lack of squashfs (with LZMA compression) in my Ubuntu kernel. I proceed by using Firmware Mod Kit which contains a set of programs to decompress various file system images including squashfs-LZMA. After trying the various unsquashfs version 3.x scripts, I was able extract the rootfs image files successfully:
Step 3) Searching the root file system
Once the root file system files were extracted, we can file and strings search tools to look for interesting files and patterns such as RSA private key files, password and configuration files, SQL database files, SQL query string and etc. In my case, I was looking for RSA certificate or private key files and found the following: (a database of private keys in embedded devices was published in 2011 but it's not actively maintained, you can access it at http://code.google.com/p/littleblackbox/)
One can write shell scripts to automate the file system search process.
Step 4) Running and debugging the Executables
The Qemu emulator supports multiple CPU architectures including ARM, MIPS, PowerPC, etc and can be used to run and debug the interesting executable extracted from the firmware image on your system for dynamic analysis purposes. You would need to build the Qemu with —static and —enable-debug options. The following figure demonstrates how to run the web server (httpd) that was extracted from my target firmware using chroot and Qemu:
For troubleshooting such cases, or monitoring an emulated process while fuzzing it, we would need to attach a debugger to it. This can be achieved by using —g switch in Qemu and using a debugger out of the emulator process or even on a remote windows machine. I used IDA pro remote GDB debugging tool as shown in the figures below:
Once successfully attached to the remote emulated process, IDA pro can be used to simply trace the execution of the process, placing breakpoints or running IDA scripts.
Often overlooked during assessments, firmware analysis of devices can yield results and often do when we target them at SensePost. Our methodology includes the above steps and we recommend yours does too.
By the year 2015 sub-Saharan Africa will have more people with mobile network access than with access to electricity at home.This remarkable fact from a 2011 MobileMonday report  came to mind again as I read an article just yesterday about the introduction of Mobile Money in the UK: By the start of next year, every bank customer in the country may have the ability to transfer cash between bank accounts, using an app on their mobile phone. 
I originally came across the MobileMonday report while researching the question of mobility and security in Africa for a conference I was asked to present at . In this presentation I examine the global growth and impact of the so-called mobile revolution and then its relevance to Africa, before looking at some of the potential security implications this revolution will have.
The bit about the mobile revolution is easy: According to the Economist there will be 10 billion mobile devices connected to the Internet by 2020, and the number of mobile devices will surpass the number of PCs and laptops by this year already. The mobile-only Internet population will grow 56-fold from 14 million at the end of 2010 to 788 million by the end of 2015. Consumerization - the trend for new information technology to emerge first in the consumer market and then spread into business organizations, resulting in the convergence of the IT and consumer electronics industries - implies that the end-user is defining the roadmap for these technologies as manufacturers, networks and businesses scramble desperately to absorb their impact.
Africa, languishing behind in so many other respects, is right there on the rushing face of this new wave, as my initial quote illustrates. In fact the kind of mobile payment technology referred to in the BBC article is already quite prevalent in our home markets in Africa and we're frequently engaged to test mobile application security in various forms. In my presentation for example, I make reference to m-Pesa - the mobile payments system launched in Kenya and now mimicked in South Africa also. Six million people in Kenya use m-Pesa, and more than 5% of that country's annual GDP is moved to and fro directly from mobile to mobile. There are nearly five times the number of m-Pesa outlets than the total number of PostBank branches, post offices, bank branches, and automated teller machines (ATMs) in the country combined.
Closer to home in South Africa, it is estimated that the number of people with mobile phones outstrips the number of people with fixed-line Internet connections by a factor of ten! And this impacts our clients and their businesses directly: Approximately 44% of urban cellphone users in South Africa now make use of mobile banking services. The reasoning is clear: Where fixed infrastructure is poor mobile will dominate, and where the mobile dominates mobile services will soon follow. Mobile banking, mobile wallets, mobile TV and mobile social networking and mobile strong-authentication systems are all already prevalent here in South Africa and are already bringing with them the expected new array of security challenges. Understanding this is one of the reasons our customers come to us.
In my presentation I describe the Mobile Threat Model as having three key facets:
The technical security issues we discover on mobile devices and mobile applications today are really no different from what we've been finding in other environments for years. There are some interesting new variations and interesting new attack vectors, but it's really just a new flavor of the same thing. But there are four attributes of the modern mobile landscape that combine to present us with an entirely new challenge:
Firstly, mobiles are highly connected. The mobile phone is permanently on some IP network and by extension permanently on the Internet. However, it's also connected via GSM and CDMA; it's connected with your PC via USB, your Bluetooth headset and your GPS, and soon it will be connected with other devices in your vicinity via NFC. Never before in our history have communications been so converged, and all via the wallet-sized device in your pocket right now!
Secondly, the mobile device is deeply integrated. On or through this platform is everything anyone would ever want to know about you: Your location, your phone calls, your messages, your personal data, your photos, your location, your location history and your entire social network. Indeed, in an increasing number of technical paradigms, your mobile device is you! Moreover, the device has the ability to collect, store and transmit everything you say, see and hear, and everywhere you go!
Thirdly, as I've pointed out, mobile devices are incredibly widely distributed. Basically, everyone has one or soon will. And, we're rapidly steering towards a homogenous environment defined by IOS and Google's Android. Imagine the effect this has on the value of an exploit or attack vector. Finally, the mobile landscape is still being very, very poorly managed. Except for the Apple AppStore, and recent advances by Google to manage the Android market, there is extremely little by way of standardization, automated patching or central management to be seen. Most devices, once deployed, will stay in commission for years to come and so security mistakes being made now are likely to become a nightmare for us in the future.
Thus, the technical issues well known from years of security testing in traditional environments are destined to prevail in mobile, and we're already seeing this in the environments we've tested. This reality, combined with how connected, integrated, distributed and poorly managed these platforms are, suggests that careless decisions today could cost us very dearly in the future...
While doing some thinking on threat modelling I started examining what the usual drivers of security spend and controls are in an organisation. I've spent some time on multiple fronts, security management (been audited, had CIOs push for priorities), security auditing (followed workpapers and audit plans), pentesting (broke in however we could) and security consulting (tried to help people fix stuff) and even dabbled with trying to sell some security hardware. This has given me some insight (or at least an opinion) into how people have tried to justify security budgets, changes, and findings or how I tried to. This is a write up of what I believe these to be (caveat: this is my opinion). This is certainly not universalisable, i.e. it's possible to find unbiased highly experienced people, but they will still have to fight the tendencies their position puts on them. What I'd want you to take away from this is that we need to move away from using these drivers in isolation, and towards more holistic risk management techniques, of which I feel threat modelling is one (although this entry isn't about threat modelling).
The tick box monkeys themselves, they provide a useful function, and are so universally legislated and embedded in best practise, that everyone has a few decades of experience being on the giving or receiving end of a financial audit. The priorities audit reports seem to drive are:
But security vendors prioritisation of controls are driven by:
Every year around Black Hat Vegas/Pwn2Own/AddYourConfHere time a flurry of media reports hit the public and some people go into panic mode. I remember The DNS bug, where all that was needed was for people to apply a patch, but which, due to the publicity around it, garnered a significant amount of interest from people who it usually wouldn't, and probably shouldn't have cared so much. But many pentesters trade on this publicity; and some pentesting companies use this instead of a marketing budget. That's not their only, or primary, motivation, and in the end things get fixed, new techniques shared and the world a better place. The cynical view then is that some of the motivations for vulnerability researchers, and what they end up prioritising are:
Unfortunately, as human beings, our decisions are coloured by a bunch of things, which cause us to make decisions either influenced or defined by factors other than the reality we are faced with. A couple of those lead us to prioritising different security motives if decision making rests solely with one person:
The result of all of this is that different companies and people push vastly different agendas. To figure out a strategic approach to security in your organisation, you need some objective risk based measurement that will help you secure stuff in an order that mirrors the actual risk to your environment. While it's still a black art, I believe that Threat Modelling helps a lot here, a sufficiently comprehensive methodology that takes into account all of your infrastructure (or at least admits the existence of risk contributed by systems outside of a “most critical” list) and includes valid perspectives from above tries to provide an objective version of reality that isn't as vulnerable to the single biases described above.