Read more: http://technet.microsoft.com/en-us/security/cc185712.aspx

Download now: http://www.microsoft.com/downloads/details.aspx?FamilyId=CD057D9D-86B9-4E35-9733-7ACB0B2A3CA1&displaylang=en

Take a few moments and give yourself a security checkup. If you have any comments or feedback on the tool, feel free to leave them here on my blog—I’ll make sure the right people see it.

From the download page:

The MSAT employs a holistic approach to measuring your security posture by covering topics across people, process, and technology. Findings are coupled with prescriptive guidance and recommended mitigation efforts, including links to more information for additional industry guidance. These resources may assist you in keeping you aware of specific tools and methods that can help change the security posture of your IT environment.

There are two assessments that define the Microsoft Security Assessment Tool:

• Business Risk Profile Assessment
• Defense in Depth Assessment (UPDATED)

The questions identified in the survey portion of the tool and the associated answers are derived from commonly accepted best practices around security, both general and specific. The questions and the recommendations that the tool offers are based on standards such as ISO 17799 and NIST-800.x, as well as recommendations and prescriptive guidance from Microsoft’s Trustworthy Computing Group and additional security resources valued in the industry.

After completing an Assessment, you will gain access to a detailed report of your results. You may also compare your results with those of your peers (by industry and company size), provided that you upload your results anonymously to the secure MSAT Web server. When you upload your data the application will simultaneously retrieve the most recent data available. To be able to provide this comparative data, we need customers such as you to upload their information. All information is kept strictly confidential and no personally identifiable information whatsoever will be sent.

While genetics is concerned with the observation of specific sections of DNA, genomics is about studying the entire genome of an organism, something that has only become practically possible in recent years. In forensic genetics, which is the technology behind the large national DNA databases being built in several countries including notably UK and USA (Wallace’s outstanding article lucidly exposes many significant issues), investigators compare scene-of-crime samples with database samples by checking if they match, but only on a very small number of specific locations in the genome (e.g. 13 locations according to the CODIS rules). In our paper we explore what might change when forensic analysis moves from genetics to genomics over the next few decades. This is a problem that can only be meaningfully approached from a multi-disciplinary viewpoint and indeed our combined backgrounds cover computer security, bioinformatics and law.

(Image from Wikimedia commons, in turn from NIST.)

Sequencing the first human genome (2003) cost 2.7 billion dollars and took 13 years. The US’s National Human Genome Research Institute has offered over 20 M$ worth of grants towards the goal of driving the cost of whole-genome sequencing down to a thousand dollars. This will enable personalized genomic medicine (e.g. predicting genetic risk of contracting specific diseases) but will also open up a number of ethical and privacy-related problems. Eugenetic abortions, genomic pre-screening as precondition for healthcare (or even just dating…), (mis)use of genomic data for purposes other than that for which it was collected and so forth. In various jurisdictions there exists legislation (such as the recent GINA in the US) that attempts to protect citizens from some of the possible abuses; but how strongly is it enforced? And is it enough? In the forensic context, is the DNA analysis procedure as infallible as we are led to believe? There are many subtleties associated with the interpretation of statistical results; when even professional statisticians disagree, how are the poor jurors expected to reach a fair verdict? Another subtle issue is kin privacy: if the scene-of-crime sample, compared with everyone in the database, partially matches Alice, this may be used as a hint to investigate all her relatives, who aren’t even in the database; indeed, some 1980s murders were recently solved in this way. “This raises compelling policy questions about the balance between collective security and individual privacy” [Bieber, Brenner, Lazer, 2006]. Should a democracy allow such a “driftnet” approach of suspecting and investigating all the innocents in order to catch the guilty?

This is a paper of questions rather than one of solutions. We believe an informed public debate is needed before the expected transition from genetics to genomics takes place. We want to stimulate discussion and therefore we invite you to read the paper, make up your mind and support what you believe are the right answers.

Hash functions are the most commonly used cryptographic primitive, and the most poorly understood. You can think of them as fingerprint functions: They take an arbitrary long data stream and return a fixed length, and effectively unique, string. The security comes from the fact that while it's easy to generate the fingerprint from a file, it's infeasible to go the other way and generate a file given a fingerprint.

Originally created to make digital signatures more efficient, hashes are now used to secure the very fundamentals of our information infrastructure: in password logins, secure web connections, encryption key management, virus and malware scanning, and almost every cryptographic protocol in current use. Without cryptographic hash functions, the internet would simply not work. At the same time, there isn't a good theory of hash functions. Unlike encryption algorithms, there are no secret keys involved; this makes it harder to mathematically define exactly what hash functions are.

The National Institute of Standards and Technology, NIST, is holding a competition to replace the SHA family of hash functions. "SHA" stands for "Secure Hash Algorithm." It was developed by the NSA in 1993 to replace the commercial MD4 and MD5 algorithms, and has been updated several times since then. All the SHA algorithms are very similar, and have been increasingly under attack, so NIST wants to replace them.

The competition is important because, unlike other technological standards, committee design — balancing the interests of diverse constituents — isn't conducive to good security. Security is best when it's designed by expert teams and then subjected to public review. And cryptography is best when it's chosen by competition.

In 1997, NIST held a competition for a block cipher to replace DES. Fifteen candidates and three-and-a-half years later, Rijndael became the new Advanced Encryption Standard — AES. NIST is doing the same thing for what it's calling SHA-3 (not, for some unexplained reason, the Advanced Hash Standard or AHS).

The deadline was October 31, and NIST received 64 submissions. This isn't surprising — I predicted 80 — as most of the 15 AES submitters were professors, whose students at the time have become professors themselves, with their own students. (If NIST does a stream cipher competition in another ten years, they should expect about 256 submissions.) These submissions came from academia, from industry, and from hobbyists. CIO magazine recently interviewed one of the submitters, who is 15. Twenty-eight submissions have been made public by the submitters, and six of those have been broken.

NIST is going through all the submissions right now, making sure they are complete and proper. Their goal is to publish all accepted submissions by the end of November, in advance of the First Hash Function Candidate Conference, to be held in Belgium right after the Fast Software Encryption workshop in February.

The group expects to quickly make a first cut of algorithms — hopefully to about a dozen — and give the community a year of cryptanalysis before making a second cut in 2010. After another year of cryptanalysis, NIST will choose a winner in 2011. Expect a final standard by 2012.

My advice for software developers is to let the process run its course. While it's tempting to use the new cool algorithms in your designs, it's far too soon to trust any of them. This process is likely to result in all sorts of new research results in hash function security, and some real cryptanalytic surprises. Give the community a few years to figure out which ones are good and which aren't.

I've previously called this sort of thing a cryptographic demolition derby: The last one left standing wins. But that's only partially true. Certainly all the groups will spend the next few years trying to cryptanalyze each other, but in the end there will be a bunch of unbroken algorithms. NIST will select one based on performance and features.

NIST has stated that the goal of this process is not to choose the best standard but to choose a good standard. I think that's smart; in this process, the best is the enemy of the good. While there's no rush to choose a new standard — the SHA-2 algorithms will remain secure for the foreseeable future — we don't want to analyze the candidates forever.

Personally, I was part of a group of eight cryptographers that submitted Skein to the competition. A decade ago, writing Twofish and participating in the AES process was the most fun I had ever had in cryptography. These next few years promise to be even more fun.

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Bruce Schneier is chief security technology officer of BT. His new book is Schneier on Security.

The sky is falling! Trip Chowdhry, the analyst with Global Equities Research who claimed Red Hat was ‘rubbish and the entire LAMP stack is potty, too’ published some eye-opening predictions, predominantly negative, about tech business in Silicon Valley. Now Chowdhry claims that “almost every VC funded open-source company is struggling and will run out of money within the next six months.” (Probably not the most unbiased guy about open source) Matt Asay argues that organizations in general are struggling, but open-source companies are not that high on the list. (But are they high on the VC “axe” list??) He notes Alfresco, Pentaho and JasperSoft are some of the players with ‘millions in the bank and growing revenue.’ Asay also says Chowdhry has a responsibility to do real due diligence and not create myths. Take that, Chicken Little! (img from Disney-Clipart)

We’re not as far behind as we thought we were. Google presented the results of a study they conducted about how IPv6- capable “ordinary users” are at the RIPE meeting in Dubai a few weeks ago. Turns out Apple Macs drive IPv6 penetration in the US. Fifty-two percent of all IPv6 users in the U.S. own a Mac and use 6to4 (creating IPv6 addresses from an IPv4 address and tunneling packets) – making the US fifth in the list of countries using IPv6. Russia and France took first and second place with .76 and .65 percent IPv6-enabled traffic . The US is at .45 percent. Worldwide, 0.238 percent of Google users’ systems are IPv6-enabled and prefer to use IPv6 over IPv4.

Obama’s win = Google’s win? Apparently Google CEO Eric Schmidt and President-Elect Obama are very good buddies and “this terrifies Microsoft”. Now competitors are more on guard against Google’s growing empire and popularity. Although Schmidt was mentioned as a possible candidate for the country’s new national CTO position, he said he would not accept the post if asked. I guess that’s one less thing Microsoft has to worry about.

The analysts paired up today:
Antonio Piraino (Tier1 Research)
William Fellows (The 451 Group)

My usual disclaimers on live-blogging: doesn’t include everything covered (just what was most interesting to me) and had to paraphrase some answers because I simply cannot type that fast.

Quick definition of Cloud Computing
WF: The cloud is a continuum of grid, virtualization and utility done right. It is about provisioning services instead of servers; flexible computing instead of fixed assets. Done right, the cloud abstracts users from the complexity of grid. Cloud computing is IT as a service. Cloud computing is the Third Way – not entirely in-house or outsourced, but an optimized hybridized version of both. In light of the Goldman Sachs report out resetting IT spending forecast from up 6% to down 1%, don’t underestimate the ability for enterprises to move from capex to opex by buying cloud computing instead of building it themselves.

The 451 Group conducted a survey on cloud computing in March, and then revisited it a month ago. Some interesting results:

• 84% have no plans to develop an internal cloud. 5% had no answer to this question. And for the 10% who did answer – the uses for a private/internal cloud were the same as those for a public cloud.
• Top 6 vendors they look to help them develop an internal cloud: Microsoft, IBM, Cisco, HP, Oracle, VMware

Is it all “upside” when it comes to cloud computing?

WF: Watch out for the Trojan horse, the red flag. What about the software needed to manage all this stuff? Any management software needs to take a holistic approach to solve the problem.

AP: Increased management requirements and capability – this is actually a great story for managed hosters who can hold your hand while getting you up into the cloud. Hosters alleviate the pain points, and this is why we’re going to see continued growth and focus in the managed hosting sector.

WF: I would argue that they’re too expensive. Look at Amazon – 10 cents a hit adds up.

AP: It’s almost impossible to do an apples-to-apples comparison between cloud providers. One reason is that they charge differently. I’d say that when you’re talking about the big cloud providers, you are right – that they are expensive over the long-term, but for use in the short-term, they can be optimal.

WF: The cloud is setting big expectations. Can IT deliver? It’s nice to talk about “shared resources for the greater good” but in any organization, you will still run into issues of power and control! Plus it’s still early days for resolution of regulatory issues and compliance around the cloud.

Final Thoughts

AP: Think of the opportunities of using cloud computing resources in the areas of testing and pre-production – short-term use/environment (quick up/quick down), inexpensive, opex not capex. We’re already seeing the cloud fostering much innovation.

WF: “It’s okay to fall in love with the term.” It is real but keep the expectations lower and realistic.

AP: I agree with you. The reality is that the cloud is driving a very fundamental underlying platform change. This is not just a term or something that will fall out of fashion. There’s a real need to build trust in the cloud and leveraging shared resources in this way – so use the cloud computing term cautiously; don’t abuse it and make the cloud seem like IT’s new toy.