Ignorance is Bliss

Ignorance is Bliss When you think about it, time really is all we have. It’s what you have at your disposal, to do anything and everything. It seems that we’re better off not knowing when it comes to security–for our own good. Can it really be so utilitarian?

To anybody out there writing exploits: make sure you’re doing it just for fun. Currently, there are no outlets for any financial gain that will accurately measure your time investment or fairly compensate your hard work.

Security Objectives’ own Shane Macaulay “owned” Vista SP1 in the PWN2OWN contest at CanSecWest 2008 by exploiting a bug in Adobe Flash. As a result of the contest’s categorization of the bug as third-party, the exploit was grossly under-appraised (especially when considering cross-platform targets and the fact that it would work well into the future with Vista’s new Service Pack.) Sure, it technically was a bug in a third-party application, but this particular third-party application happens to be installed on just about every Internet-enabled PC. According to Adobe, “Adobe® Flash® Player is the world’s most pervasive software platform, used by over 2 million professionals and reaching over 98% of Internet-enabled desktops in mature markets as well as a wide range of devices.”

Even if Shane was unfairly compensated, it doesn’t matter because at least he used “responsible disclosure” — or does it? I highly doubt that the people in charge of the companies writing buggy software and brokering bug information have any idea about the amount of work and skill that goes into discovering an exploitable bug, let alone writing a proof-of-concept for it. As it stands, software companies are setting themselves up for a black market in digital weapons trading of unprecedented proportions.

Here’s something else to think about.. I expect Adobe to patch this one rather quickly given all the publicity. How long does it take for a vendor to fix a given vulnerability when it is reported to them directly? Even some of the brokered “upcoming advisories” on 3Com’s ZDI site are many months or even years stale. This “patchtile dysfunction” will increase the value of a 0-day exploit exponentially.

Time is money and to make up for lost time, Mr. Macaulay decided to sell the laptop he had won on eBay. An innocent bystander at the contest dubbed this decision “from pwn to pawn.” So why not? Laptops get sold on eBay everyday–but not this one. It wasn’t long before eBay pulled Mr. Macaulay’s item from auction on the first of April, ostensibly as an April Fool’s shenanigan. This came as a surprise to me. Things to consider here:

  • The laptop may or may not have had forensic evidence of the controlled attack that occurred during the contest.
  • Even so, Mr. Macaulay is a responsible discloser and would not have shipped the laptop until the bug was patched.
  • Mr. Macaulay’s and Mr. Sotirov’s autographs should have increased the laptop value, regardless.

This incident, in a way, reminded me of eBay’s great fearwall debacle from a few years ago (CVE-2005-4131.) In that case, there were several key differences: an information broker such as ZDI was not involved, a pseudonym was being used, the code statements where the memory corruption occurred were disclosed, and no computer hardware was for sale. Nevertheless, I respect eBay’s decision to discontinue the auction as this is obviously a very controversial issue.

Brokering information? How can you do it? From experience, the idea of using an escrow service and 3rd party verification is largely ineffective. It would appear that ZDI is the only show in town. Of course there’s that auction service, but you have to send them your exploit first so how does that work? It appears that they’re still trying to do business by the way, despite alleged legal troubles. I’m subscribed to their mailing list and they send out an e-mail every time new information goes up for auction; they put up a dozen or so new exploits last week but it would appear that few if any were sold. Where do we go from here? Is brokering information even possible?

Imagine for a moment a scenario where a dozen or so exploits of critical severity related to a single software company are posted to Full Disclosure with rumors of many more circulating in the underground and exploits actively being carried out in the wild. Now imagine shareholders shorting that company’s stock. I suppose that the vulnerability information might be more realistically valued in a situation such as this. Anyone have any other ideas?

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Good grief!

Charlie Brown Good GriefHaving just caught up on some of the conference “Source Boston”, I can’t help but call out some of the musings of Andrew Jaquith. Something of a more technical abstract can be read at the code project’s article by Jeffrey Walton (pay special attention to Robin Hood and Friar Tuck). If anybody doubt’s the current trend of sophistication in malware, I’m sure it is somebody who is currently penetrated. I’ve had the opportunity to devote specific analysis on occasion over the years to MAL code and its impact on the enterprise. I know FOR SURE the level of sophistication is on the rise. One thing I had to deal with recently, the extent of capability afforded by most desktop OS’s being so advanced, the majority of functionality desired by MAL code is pre-deployed. Unfortunately paving the way for configuration viruses and their ability to remain undetected in that all they are is an elaborate set of configuration settings. You can imagine, a configuration virus has the entire ability of your OS at its disposal, any VPN/IPSEC, self-(UN) healing, remote administration, etc… The issue is then, how do you determine if that configuration is of MAL intent, it’s surely there for a reason and valid in many deployments. The harm is only when connected to a larger entity/botnet that harm begins to affect a host. Some random points to add hard learned through experience;

  • Use a native execution environment
    • VMWare, prevents the load or typical operation of many MAL code variants
      • I guess VM vendors have a big win here for a while, until the majority of targets are VM hosts.
  • Have an easily duplicated disk strategy
    • MAC systems are great for forensics, target disk mode and ubiquitous fire-wire allows for live memory dumps and ease of off-line disk analysis (without a drive carrier).
    • I’m planning a hash-tree based system to provision arbitrarily sized block checksums of clean/good files, useful of diff’ing out the noise for arbitrary medium (memory, disk, flash).
  • Install a Chinese translator locally
    • As you browse Chinese hack sites, (I think all Russian site’s are so quiet these days due to the fact that they are financially driven, while Chinese are currently motivated by nationalistic motivators), you need to translate locally. Using a .com translation service is detected and false content is rendered, translate locally to avoid that problem.
      • Also, keep notes on lingo.. there are no translation-hack dictionaries yet. (I guess code pigeon is referring to a homing pigeon, naturally horse/wood code is a Trojan).

Unfortunately part of the attacker advantage is the relatively un-coordinated fashion defenders operate, not being able to trust or vet your allies to compare notes can be a real pain. One interesting aspect of a MAL system recently analyzed was the fact that that it had no persistent signature. It’s net force mobility so complete, that the totality of its functionality could shift boot-to-boot, so long as it compromised a boot-up driver it would rise again. The exalted C. Brown put it best, “Good grief!” http://www.codeproject.com/KB/cpp/VirusProtect.aspx http://www.sourceboston.com/blog/?p=25

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Dimes

2005_dime.jpgMicrosoft Security Bulletin

MS08-010 – Critical CVE-2008-0076

None of the flaws I’ve ever found on Microsoft platforms have ever been public (that is, they have all been derived from internal projects) and it’s nice to see at least in this round of fixes that my bug scored a perfect 10.0 (a dime) on the bulletin. I actually did not test as many platforms and configurations as Microsoft. For those of you that are unaware, bug regression and the overall triage process can become quite intensive. I knew that this vulnerability/flaw/bug/exploit/whatever had wide reaching appeal, fairly easy to see from the fact that all architectures and versions as far back as possible are marked critical.

As with all doings in the security space, walking a line between disclosure and tight-lipped mums, the word practice is not easy. So, what can be said here? Nothing? Something? I guess I have to write something, the marketoid’s wouldn’t be happy if I did not.

Before I digress into any technical discussion, I will take this opportunity to say something about the exploit sales “industry?”. In this world, everything and everybody has their place, that said, any individual that thinks exploits are worth any money, has another thing coming. Look at it this way, if you’re in the business of purchasing information (exploits), by definition you are unaware of the value of that information thereby inherently you are in a position to devalue the time and emotional investment into the derivation of that work. So this means, you’re never going to get back enough cash to make up for your time, EVER!! Where I do see some value in exploit brokers, is exclusively in the capacity of having them take the burden of dealing with uninformed software vendors (the Microsoft/IBM/others process is fairly straight forward).

Now that that’s all done with, I don’t really want to talk about the exploit, at least until some poorly constructed version winds up in metasploit. I will say though that the bulletin is correct in its description and synopsis.

The fact that there are no mitigating factors or workarounds possible, gives me some incentive and reassurance that the tools and methodologies that we’re building into our product offering works.

We’re ramping up development for a big push this quarter and will be uploading some more screenshots and related minutia in the coming months.

Our product in brief is an automated tool for native application flaw finding. It can assess, at runtime in a dynamic way, the integrity of a given binary application. This process then produces test cases and reproductions of what is necessary to trigger the flaw for a developer (this way, reducing regression rates due to bug fixes as it’s much easier to fix something when you can interact with it as opposed to a simple warning message).

We’re working on a management interface (on top of the technical one), that will also enable the lay person to identify architectural problems in arbitrary software also. This is actually quite simple (with the support of our engine), in essence, a landscape or tomography view is laid out before the user, with associated peaks and valleys, this then changes over time (4D), and represents the surface area of your application binary’s response to input. That is, a dynamic environment that is rooted by a system of systems methodology. What becomes apparent is that (if you are in the capacity to fix these issues yourself), as time goes on, and you assign various resources (people) to fix the peaks and turn them into valley’s. The rate at which you push down the peaks (bugs), across the application is not constant, some issues are harder to fix than others and persist. This way, a self-relative understanding of where problem area of code exist poignantly reveal themselves as architectural flaws and appropriate steps can be taken to drive the business case that will support a rewrite.

Whew, that’s a mouthful. Needless to say, we’re working to create the best platform around for software sovereignty.

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Reducing the Cost of Software Regression

H.G. Wells Time MachineA widely held notion among computer scientists is that 80% of a programmer’s time is occupied maintaining code while the other 20% is spent actually writing the software. This inefficient allocation of effort was the subject of a master’s thesis at the Lund Institute of Technology called “Formalizing Use Cases with Message Sequence Charts.” According to a 2002 NIST study entitled “The Economic Impacts of Inadequate Infrastructure for Software Testing“, the annual cost of testing and fixing buggy software in the U.S. is estimated to be between $22.2 and $59.5 billion. What are the root causes of this costly inefficiency?

Unfortunately, corporate culture is naturally a contributing factor for this problem. Companies that produce commercial software are in business to make a profit first and foremost. Release schedules are expedited so the program can be released to market quickly and copies are sold sooner rather than later–making code work as expected for baseline use cases takes priority over regression testing. Any aspect of the software development process that does not appear to be fully in-line with company interests is considered a waste. Usually, far too much emphasis is put on project progress. The overall progress is only perceived progress because unforeseen problems will inevitably pop-up later on. In the long run, bugs end up costing much more to fix down the road and the entire business apparatus pays the cost of maintenance. Some secondary losses are customer support costs, internal communications and a negative impact on the company’s public image all of which can be preempted by proper preliminary work.

Since there’s so much emphasis on speedy release code writing starts as soon as possible, often with disregard to planning ahead beforehand and ensuring quality afterwards. Furthermore, programmers tend to implement items that they are most familiar with first because it seems like the easy way to do things. In most cases, the most difficult parts of a task are best handled first, not last. Handling the difficult items first allows more time and attention to the important stuff; it also allows the developer to recognize how the simpler pieces will fit into the grand scheme of things.

Planning ahead is an essential during the inception phase of a software project. Appropriately analyzing the problem and carefully designing the solutions will minimize the accumulation of technical hardships in the future. In fact, by taking advantage of the popular Unified Process for software development and diagramming specifications in UML the need for writing code almost disappears. UML CASE tools such as IBM’s Rational Rose will translate UML diagrams into program source code (typically an object-oriented language such as C++ or Java.) Of course creating detailed requirements and specifications is still extremely helpful even if UML is not practical for the task at hand. Writing code early on gives the illusion that progress is being made but in reality it is a recipe for disaster. No code should be written until all implementation issues have been resolved.

Threat modeling and secure design principles need to be key focal points during the initial phases of a software project. After the code has been written security issues will also comprise a large chunk of ongoing maintenance work. When software developers handle security fixes they have to stop what they’re doing, modify or maybe even rewrite the offending code, test the new code, report their progress, etc. Since developers are rarely security specialists, they tend to write fixes in such a way that the security hole is not closed completely. As a result, the vulnerability persists and leads to more code rewriting. This cycle of stopping, rewriting, and continuing severely detracts from productivity in programming. The majority of a developer’s time should be spent doing what they do best–adding new features to software.

Removing developers from the patch creation process significantly increases their utilization. Dedicated security experts are most fit to create patches and conduct regression testing. A dynamic program analysis tool accelerates the regression testing process. Building security in by default from the ground-up will minimize software bugs along with subsequent patching and testing. In conclusion, proper planning, resource allocation, and testing procedures can greatly reduce the costs associated with software regression.

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