Your internet how to Obtain and Assert Composable Security may be unreliable. For more information about the W3C website, see the Webmaster FAQ. I don’t know for sure, I’m guessing that these were NFS writes.
NFS operations and that report eventually led me to the source and let me turn it off. OmniOS r151014, and not a completely up to date version of it. Never the less, I feel like writing it down. Perhaps unsurprisingly, it turns out that I almost always want to search for full words, not parts of words.
This is true whether I’m looking for words in text, words in my email, or for functions, variables, and the like in code. In the past I adopted various hacks to deal with this, or just dealt with the irritation of excessive matches, but now I’ve converted over to using word-boundary searches and the improvement in getting what I really want is really great. In retrospect, this is part of what how we write logins in documentation was doing. Searching for ” instead of ‘LOGIN’ vastly reduced the chance that you’d run into the login embedded in another word. I reflexively default to fgrep, partly so I don’t have to think about special characters in my search string. I’m sure vim has a reason for having two of them. Once again, doing some research has proven beneficial.
PPS: I care about less because less is often my default way of scanning through pretty much anything, whether it’s a big text file or code. Grep and company may tell me what files have some content and a bit of its context, but less is what let me poke around, jump back and forth, and so on. Perhaps someday I will get a better program for this purpose, but probably not soon. The API libpcap is the standard cross-platform way of sniffing packets off the network. It’s better than simply opening a “raw socket” on Unix platforms because it takes advantage of higher performance capabilities of the system, including specialized sniffing hardware. Over the years, Linux has been adding a “ring buffer” mode to packet capture. This is a trick where a packet buffer is memory mapped between user-space and kernel-space.
It allows a packet-sniffer to pull packets out of the driver without the overhead of extra copies or system calls that cause a user-kernel space transition. This has gone through several generations. This happens a lot on virtual machines where there is no background traffic on the network. This looks like a bug, but maybe it isn’t. It’s unclear what the “timeout” parameter actually means. I’ve been hunting down the documentation, and curiously, it’s not really described anywhere.
For an ancient, popular APIs, libpcap is almost entirely undocumented as to what it precisely does. I’ve tried reading some of the code, but I’m not sure I’ve come to any understanding. I mention this because I fixed this bug in my code. When running inside a VM, my program would never exit. Performance seems roughly the same as far as I can tell.
Linux kernel, so this can change in the future. But in any case, I thought I’d document this in a blogpost in order to help out others who might be encountering the same problem. But sometimes that’s exhausting and you’ve gotta take a break. And in memoriam, Zoe and Sophie, who helped me start this blog. Nothing significant has changed, but it’s nice to be cleaner.
I did publish a new project, which is a webmail client implemented in golang. Still as a “read only webmail” it does the job. Retrieving that list of folders is near-instant – but retrieving that list of folders and the unread-mail count of each folder takes over a minute. For the moment I’ve just not handled folders-with-new-mail specially, but it is a glaring usability hole. Causes regressions as soon as you navigate to a new page though.
Have some kind of open proxy-process to maintain state and avoid accessing IMAP directly. That complicates the design, but would allow “instant” fetches of “stuff”. Anyway check it out if you like. This was clearly basically a phish spam, and it appears to have tried to redirect from the initial URL to an invoice page on ‘xerotransfers. Please ignore the last email about a large invoice amount.
Please do not click on the button or pay any money. Any links that do not have is not our website. Any sales of Naturaful products are paid on our website and you don’t owe anything after. Please ignore the last email, we’re currently cleaning up our database and ensuring this does not happen again. What appears to have happened here is that our administrative address was bought by naturaful. Before they could use their shiny new mailing list to send out their own spam, another spammer came by and exploited a security vulnerability of some sort to hijack naturaful. Canada, which makes what they’re doing completely unambiguously illegal under our anti-spam law.
The odds are that the government will never get around to doing anything to them, but one can always hope. In the mean time, neither these people nor Mailchimp are going to be successfully sending email to this particular administrative address. As far as Mailchimp goes, well, they know what business they’re in and they’re evidently not interested in doing better even though they certainly could. I realized today that some of my writing, and the writing of others, may be confused as to exactly what CI means. The authoritative place to find an American definition for CI is the United States National Counterintelligence and Security Center.
Iran’s Ministry of Intelligence, or the military intelligence services of those countries and others. In other words, counterintelligence is countering foreign intelligence. The focus is on the party doing the bad things, and less on what the bad thing is. This is just about everyone, although criminals are explicitly not mentioned.
The definition is also slightly unbounded by moving beyond “espionage, or other intelligence activities,” to include “sabotage, or assassinations. In those cases, the assumptions is that foreign intelligence agencies and their proxies are the parties likely to be conducting sabotage or assassinations. In the course of their CI work, paying attention to foreign intelligence agents, the CI team may encounter plans for activities beyond collection. The bottom line for this post is a cautionary message. It’s not appropriate to call all intelligence activities “counterintelligence. It’s more appropriate to call countering adversary intelligence activities counterintelligence.
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You may use similar or the same approaches as counterintelligence agents when performing your cyber threat intelligence function. For example, you may recruit a source inside a carding forum, or you may plant your own source in a carding forum. This is similar to turning a foreign intelligence agent, or inserting your own agent in a foreign intelligence service. However, activities directing against a carding forum are not counterintelligence. The nature and target of your intelligence activities are what determine if it is counterintelligence, not necessarily the methods you use. Again, this is in keeping with the stricter definition, and not becoming a victim of scope creep. In the previous post I discussed the problem of building CCA-secure public key encryption.
We covered the definition of CCA2 security. We described how you can easily achieve this notion in the symmetric encryption setting using a CPA-secure encryption scheme, plus a secure MAC. We talked about why this same approach doesn’t work for standard public-key encryption. In this post I’m going to discuss a few different techniques that actually do provide CCA security for public key encryption.
We’ll be covering these in no particular order. A quick note on security proofs. There are obviously a lot of different ways you could try to hack together a CCA2 secure scheme out of different components. Some of those might be secure, or they might not be. The bad and the ugly Before we get to the constructive details, it’s worth talking a bit about some ideas that don’t work to achieve CCA security. 1 padding was developed in the 1980s, when it was obvious that public key encryption was going to become widely deployed.
It was intended as a pre-processing stage for messages that were going to be encrypted using an RSA public key. This padding scheme had two features. First, it added randomness to the message prior to encrypting it. This was designed to defeat the simple ciphertext guessing attacks that come from deterministic encryption schemes like RSA. 5 is still widely used in protocols, including all versions of TLS prior to TLS 1. The diagram below shows what the padding scheme looks like when used in TLS with a 2048-bit RSA key.
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The decryptor may optionally conduct other checks like verifying the length and structure of the plaintext, in case that’s known in advance. 5 is that the designers kind of intuitively understood that chosen ciphertext attacks were a thing. It’s also obvious that these checks aren’t very strong. The use of a weak integrity check leads to a powerful CCA2 attack on the encryption scheme that was first discovered by Daniel Bleichenbacher.
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The attack is powerful due to the fact that it actually leverages the padding check as a way to learn information about the plaintext. Bleichenbacher-style attacks have largely scared the crypto community straight. That’s what we’ll cover in just a moment. A few quick notes on achieving CCA2-secure public key encryption Before we get to a laundry list of specific techniques and schemes, it’s worth asking what types of design features we might be looking for in a CCA2 public key encryption scheme. The resulting scheme should be pretty efficient. Before we get to the details, I also want to repeat the intuitive description of the CCA2 security game, which I gave in the previous post.
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I generate an encryption keypair for a public-key scheme and give you the public key. I will decrypt with my secret key. I’ll give you the result of each decryption. If you send me I’ll reject your attempt. But I’ll decrypt any other ciphertext you send me, even if it’s only slightly different from . A quick review of this definition shows that we need a CCA2-encryption scheme to provide at least two major features.
First off, it should be obvious that the scheme must not leak information about the secret key, even when I’m using it to decrypt arbitrary chosen ciphertexts of your choice. Rabin cryptosystem — where the attacker’s ability to obtain the decryption of a single chosen ciphertext can leak the entire secret key. More subtly, it seems obvious that CCA2 security is related to non-malleability. It turns out that an even stronger property that helps achieve both of these conditions is something called plaintext awareness. This guarantee is very powerful, because it helps us to be sure that the decryption process doesn’t give the attacker any new information that she doesn’t already have.
Of course, just because your scheme appears to satisfy the above conditions does not mean it’s secure. Both rules above are heuristics: that is, they’re necessary conditions to prevent attacks, but they may or may not be sufficient. We’ll address that a bit as we go forward. 5 padding scheme in RSA encryption. It also features a security proof. 1 standards as of version 2. The message is m and r is a string of random bits.
This comprises the primary decryption check. From an intuitive point of view, these last two properties are what makes OAEP secure against chosen-ciphertext attacks. This all assumes some very strong assumptions about the hash functions, which we’ll discuss below. Proving OAEP secure requires two basic techniques. This is an awesome property for a hash function to have! Note: real hash functions don’t have it. In practice this has not yet been a practical concern for real OAEP implementations, but it’s worth keeping in mind.
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These properties provide a tool in the security proof to enable decryption even when the secret key is unknown. There turned out to be some issues in the original OAEP proof that make it not quite work for arbitrary trapdoor permutations. OAEP had since gone into heavy usage within standards! This applies nicely to RSA encryption, but does not necessarily work with every existing public-key encryption scheme. One of the nicest generic techniques for building CCA2-secure public-key encryption is due to Eiichiro Fujisaki and Tatsuaki Okamoto. Let’s imagine that we have an IND-CPA encryption public-key encryption algorithm that consists of the algorithms . This actually has to be the case, due to the definition of IND-CPA.
The main trick that the F-O transform uses is to de-randomize this public-key encryption algorithm. This turns a randomized encryption into a deterministic one. Let’s get to the nuts and bolts. The F-O transform does not change the key generation algorithm of the original encryption scheme at all, except to specify the hash functions . The main changes come in the new encryption and decryption algorithms.
We can compute this as . So what the heck is going on here? Let’s tackle this scheme from a practical perspective. Earlier in this post, we said that to achieve IND-CCA2 security, a scheme must have two features. Of course, this is only one strategy available to the attacker. She could also maul an existing ciphertext like .
If she tampers with any bit of , she will change the recovered message into a new value that we can call . She might try to tamper with both parts of the ciphertext, of course. But this would seem even more challenging. The problem with the exercise above is that none of this constitutes a proof that the approach works. There is an awful lot of should and probably in this argument, and none of this ought to make you very happy. A rough sketch of the proof for an F-O scheme can be found here. The F-O scheme has many variants.
A slightly different and much more formal treatment by Hofheinz and Kiltz can be found here, and deals with some other requirements on the underlying CPA-secure scheme. So far in this discussion we’ve covered two basic techniques — both at a very superficial level — that achieve CCA2 security under the ridiculously strong assumption that random oracles exist. This motivates the need for better approaches that don’t require random oracles at all. There are a couple of those that, sadly, nobody uses. Those will have to wait until the next post. Whether you’re a seasoned pro or attending VMworld for the first time, there are a few things you should know for getting the most out of your VMworld experience. You will be doing A LOT of walking.
If you track your steps, you will probably find that you do over 20,000 steps each day. And when you’re not walking, you will probably be spending a lot of time on your feet. Having a comfortable pair of walking shoes is key to surviving the week. Make sure you break these shoes in before you go to Vegas.