Ars <http://arstechnica.com/journals/microsoft.ars/2008/07/11/microsoft-vista-more-secure-than-xp-leopard-and-linux> has their panties in a twist because Kevin Turner dared to suggest that vista is more secure than OS X or Linux. The thing is, from one point of view, Kevin is absolutely right, but from other points of view he is wrong, which just points out the general failing that keeps popping up among security folks: How on earth do you measure security?
When talking about security there isn’t a clean metric. You have Vulnerability: Software (for this purpose) weakness that provides a door in Threat: danger that someone will find the vulnerability Risk: the likelihood and cost of the vulnerability being exploited Exposure: time that a vulnerability remains Companies/orgs love to cherry pick which one they go off of. Firefox is big on touting their low exposure while being horribly quiet about the number of vulnerabilities. Microsoft is big about vulnerability (and to some extent exposure, at least on the OS level) count, since they do have a much lower count then competitors that don’t have a decent secure development lifecycle (which would be Apple and most of the OSS projects), but they don’t like mentioning risk because they have more risk than freaking anyone. The problem is, all of these approaches are at least a little right. Sure the risk is huge on windows as a whole, but if you install patches quickly your risk is actually pretty low, and with a lower vulnerability count there is less likelihood that someone will release a zero day for a vulnerability that isn’t patched. Mozilla is also right about firefox being more secure, as the fast patch and deployment rate means that zero day isn’t going to remain a concern long (except that they have been a little too quick pushing patches and have regressed things on a number of occassions), but their higher vulnerability count does mean zero days are going to crop up more often. The only stance that isn’t right is one that throws out vulnerability count as a metric because of “more eyes” (which I have complained about before). Being open source may mean that more good guys have access to code reviews, but it also means more bad guys can get a leg up looking for flaws. The number of known vulnerabilities is ALWAYS a problem regardless of why they are there (incidnetally, again, that more eyes arguement is crap. Code reviews are a horribly inefficient way of finding flaws, and you never know when some poorly trained reviewer will comment out the functionality that actually makes your random function random). So if all of these are a little right, what is the problem? I think it is really twofold. First, it makes it very hard to make an informed comparison of two platforms in terms of security and best fit for your org. Second, it makes it hard to gauge your own security and communicate that to people in and out of your organization. Both are pretty important, and a common, informative, metric benefits everyone (except those that look bad because of it). Thinking about it I like: [Ʃ (CriticalityModifier * Exposure)] / (nTotal * 10) or, in English, the sum of Criticality of each vulnerability in the past twelve months * the number of days that the vulnerability was unpatched (patches that get rolled back don’t count), then divided by the total number of vulnerabilities times ten, to scale down the number a bit. The criticality modifier is 0.5 for low, 1 for moderate, 2 for high, 3 for critical. As an example, if a hypothetical product had the following vulnerabilities over the past twelve months: Criticality Exposure in Days Critical 45 Critical 35 Critical 4 high 20 moderate 45 moderate 50 low 145 low 75 would give you (3*45 + 3*35 +3*4 +2*20 + 1*45 + 1*50 + 0.5*145 + 0.5*75) / (8 * 10) = 6.15 Security Rating. This seems like a fair metric, as it measures a level of impact (the criticality, though this isn’t horribly quantitative) of the flaw, the days of exposure to the flaw, and the number of total flaws. What it does not take into account is likelihood, as I can’t come up with a good quasi-quantitive means to measure said likelihood (open to suggestions here). Thoughts? ~ Joshbw [Ph4nt0m] <http://www.ph4nt0m.org/> [Ph4nt0m Security Team] <http://blog.ph4nt0m.org/> [EMAIL PROTECTED] Email: [EMAIL PROTECTED] PingMe: <http://cn.pingme.messenger.yahoo.com/webchat/ajax_webchat.php?yid=hanqin_wuhq&sig=9ae1bbb1ae99009d8859e88e899ab2d1c2a17724> === V3ry G00d, V3ry Str0ng === === Ultim4te H4cking === === XPLOITZ ! === === #_# === #If you brave,there is nothing you cannot achieve.# --~--~---------~--~----~------------~-------~--~----~ 要向邮件组发送邮件，请发到 [email protected] 要退订此邮件，请发邮件至 [EMAIL PROTECTED] -~----------~----~----~----~------~----~------~--~---
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