The Insecurity of Security Questions: Why I met my wife in CWmKryWzuxCSAnMDuIg.

Posted by Tom Moertel Fri, 19 Sep 2008 15:06:00 GMT

Via Dare Obasanjo’s blog, I learned that the much-publicized cracking of Sarah Palin’s Yahoo! email accounts was accomplished by exploiting the weakness of “security questions”. In short, all the attacker needed to do to convince Yahoo’s computers that he was Palin was answer three questions as if he were Palin:

  • What’s your birthday?
  • What’s your Zip code?
  • Where did you meet your spouse?

The attacker says he obtained the answers to these questions in less than an hour. Everything he needed was already public knowledge, and Google and Wikipedia made that knowledge easy to find.

And that’s why when I sign up for web sites that ask me to provide baseline answers for those annoying security questions, I claim that I met my spouse in CWmKryWzuxCSAnMDuIg. What? You’ve never been there? Well, that’s not surprising. It’s not a real place: it’s a password, randomly generated, and remembered for me by password-management software on my computer.

That’s right. Every time I’m asked to establish my “secret” answer to a security question, I generate a random string and use that. Here’s a script I use:

#!/usr/bin/perl

use MIME::Base64;

open my $random, "/dev/urandom" 
    or die "can't open /dev/urandom";
my $bytes;
read $random, $bytes, 16;
close $random;

my $pw = encode_base64($bytes);
$pw =~ tr/A-Za-z0-9//cd;
print "$pw$/";

Then I store the string in my password-management software, just in case the web site asks me for it later. Which should only happen if I forget my primary password for that site. Which should only happen if I can’t get into my password-management software. Which should only happen if I’m totally screwed, anyway, so what are the security questions buying me again?

In sum, if you care about your security, you’re probably picking good passwords already. In that case, security questions can’t help you, but they can harm you by making it easier for an attacker bypass your passwords. That’s how the Palin-email cracker did it. So treat your answers to security questions as if they were passwords – in effect, that’s what they are.

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PXSL Tools now on Hackage and GitHub

Posted by Tom Moertel Mon, 25 Aug 2008 02:56:00 GMT

I finally got around to releasing PXSL Tools on Hackage. The package contains pxslcc, a preprocessor that converts Parsimonious XML Shorthand Language into XML, and supporting documentation.

If you want to hack on the Haskell sources, I’ve put the project on GitHub, too. See the pxsl-tools project page to browse the code, or just clone the repo and hack away:

$ git clone git://github.com/tmoertel/pxsl-tools.git

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Thinking algebraically: a functional-programming dividend that pays during your imperative-programming day job

Posted by Tom Moertel Thu, 21 Aug 2008 01:50:00 GMT

Although at work I code mostly in Python – a language from which lambda and map were nearly removed – I still find that functional-programming experience has its benefits. One of the “functional-programming dividends” I notice most often is insight gained from considering problems from an algebraic perspective.

Recently, for example, I had a small parsing problem. I had to write code that, given a simple grammar specification as input, emits a regular expression that matches the language generated by the grammar.

Here’s a simplified version of the problem. A grammar specification is limited to a series of one or more atoms. For example, “a b c” represents the atom “a”, followed by the atom “b”, followed by the atom “c”. To generate the grammar, the series of atoms is interpreted such that each atom (except the last) generates a production rule of the following form:

atom_rule ::=
  <the literal atom> (SPACE <the next rule> | NOTHING)

(SPACE represents literal white space and NOTHING represents an empty string.) The grammar as a whole is rooted in the first atom’s rule.

Thus the specification “a b c” represents the following grammar:

grammar ::= a_rule
a_rule  ::= "a" (SPACE b_rule | NOTHING)
b_rule  ::= "b" (SPACE c_rule | NOTHING)
c_rule  ::= "c" 

Note that the final atom’s production matches only the literal atom itself: it has no following rule on which to chain.

The grammar, in turn, generates the following language:

a
a b
a b c

Thus, given the grammar specification “a b c”, my code had to produce a regular expression that would match “a”, “a b”, or “a b c”.

At this point, please stop for a moment and think about this little programming exercise. Do any solutions leap to mind? How would you approach the problem? Form your opinions now, because I’m going to ask you about them later. (If you’re feeling especially caffeinated, try coding a solution before reading on.)

Read more...

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Fun stuff: Video of Type B Erie steam shovel in action!

Posted by Tom Moertel Sun, 10 Aug 2008 18:12:00 GMT

As an update to my previous post on the 2008 convention of the Historical Construction Equipment Association, I have posted an action-packed video of a Type-B Erie steam-powered shovel! Wait until you see this old beast belch steam and smoke and you hear it chug, clank, and huff and puff – it’s like stepping back in time. And it’s definately fun stuff!

I took this footage on 8 August 2008 in Brownsville, Pennsylvania. (I also have footage of other equipment – dozers, draglines, trucks, shovels, and more. Let me know if you’re interested, and I’ll upload those, too.)

Update: I have uploaded the rest of my footage to flickr:
  • Thew “O” steam shovel
  • Dragline
  • CAT 955 bulldozer
  • CAT D8 bulldozer
  • Vintage Army dump truck
See them all in my HCEA 2008 photostream.

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Fun stuff: Historical Construction Equipment Association's 2008 convention

Posted by Tom Moertel Sun, 10 Aug 2008 00:23:00 GMT

Today, my dad and I went to the 2008 annual convention of the Historical Construction Equipment Association. We were impressed with the quantity and quality of the machinery on active display: steam shovels, dozers, graders, crawlers, scrapers, cranes, steamrollers, and a bunch of other old but well-maintained construction equipment. I’m talking dozens of massive machines – not just sitting there, but working!

This year’s convention is in Brownsville, Pennsylvania and runs through August 10, 2008. If you are within driving distance and think smoke-belching, earth-shaking construction equipment is fun stuff, don’t miss it. There’s still time to go.

If you can’t make it, I took some photos for you. Not quite the real thing, but better than nothing.

Update: I have posted a video of a Type B Erie steam shovel – the one pictured above – and it’s in action! Don’t miss it.

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Oleg's great way of explaining delimited continuations

Posted by Tom Moertel Mon, 05 May 2008 13:58:00 GMT

There’s a great way to explain delimited continuations in the notes of Oleg’s Continuation Fest talk on using delimited continuations for CGI programming. Just so it doesn’t get overlooked, here it is:

I’m obsessed in pointing out that every programmer already knows and understands the delimited continuations; they might not know that word though. Everyone knows that when a process executes a system call like read, it gets suspended. When the disk delivers the data, the process is resumed. That suspension of a process is its continuation. It is delimited: it is not the check-point of the whole OS, it is the check-point of a process only, from the invocation of main() up to the point main() returns. Normally these suspensions are resumed only once, but can be zero times (exit) or twice (fork).

I especially like the final part about exit and fork, which drives home the notion that something more subtle than returning from a typical function call is going on. If anybody is confused over what suspended means, that last part ought to clear things up.

The next time I need to explain delimited continuations, I know how I’m going to do it.

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That looks about right

Posted by Tom Moertel Fri, 11 Apr 2008 15:58:00 GMT

Via Chris:

$ history | awk '{print $2}' | sort | uniq -c | sort -rn | head
    196 git
    110 l
    102 cd
     70 make
     34 darcs
     30 pushd
     23 ssh
     23 m
     23 ls
     20 rm

The l and m commands are aliases:

  • l = ls –CF
  • m = less

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Property checking with Python's nose testing framework

Posted by Tom Moertel Thu, 20 Mar 2008 02:34:00 GMT

At work recently I was writing some tests with Python’s out-of-the-box unit-testing framework unittest. I’m new to Python and accustomed to Perl and Haskell’s testing frameworks, which are lightweight and let you write tests without much hoop-jumping. In particular, QuickCheck and LectroTest make it easy to test at the property level instead of the test-case level. With unittest, I was having to write a lot of code to get the same level of abstraction.

By “property level,” here’s what I mean. Say I’m testing this thing, let’s call it a subscriber pool. It has two fundamental properties:

  1. Subscribe. For all initial states of the pool, if you call subscribe(user), then, assuming there have been no other operations on the pool, user must be in the pool.
  2. Unsubscribe. For all initial states of the pool, if you call unsubscribe(user), then, assuming there have been no other operations on the pool, user must not be in the pool.

That’s it. If my implementation satisfies both properties, it’s correct. (This is a simplified version of my real testing problem, which required additional property checks.)

To test whether my implementation satisfies each property, I must write individual test cases that together “cover” the property. For example, to test whether the Subscribe property holds, I might write four test cases:

class SubscribeProperty(unittest.TestCase):

    def setUp(self):
        initialize_pool()

    def tearDown(self):
        destroy_pool()

    def testEmpty(self):
        load_pool_with_members([])
        subscribe("1")
        self.assert_("1" in pool_members())

    def testOtherGuyAlreadyInPool(self):
        load_pool_with_members(["2"])
        subscribe("1")
        self.assert_("1" in pool_members())

    def testSubscriberAlreadyInPool(self):
        load_pool_with_members(["1"])
        subscribe("1")
        self.assert_("1" in pool_members())

    def testSubscriberAndOtherGuyAlreadyInPool(self):
        load_pool_with_members(["1", "2"])
        subscribe("1")
        self.assert_("1" in pool_members())

Every one of the test cases has the same form. The repetition makes me want to refactor the whole thing.

Okay, let’s do it:

Read more...

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PXSL Tools 1.0: Your ticket out of XML Hell

Posted by Tom Moertel Tue, 18 Dec 2007 03:33:00 GMT

XML is fine for representing document-like things, but when it’s twisted to represent build recipes, configuration files, and little programming languages, it opens the gates to XML Hell. Once the gates are opened, the demons of cargo-cult thinking are loosed upon the world, where they are free to trick innocent programmers into working with grotesquely twisted XML documents – something no human mind was designed to comprehend. Ensnared, these programmers are slowly drawn into the depths of XML Hell, from which their lamentations echo across the universe.

When the demons of cargo-cult thinking come for you, don’t be ensnared! Instead, be prepared – with PXSL – the Parsimonious XML Shorthand Language (pronounced “pixel”).

What’s PXSL? It’s a luxurious, thermonuclear smoking jacket that you can slip on using a convenient preprocessor. Use it whenever you see grotesque XML on the horizon. Within PXSL’s plush (and stylish) protection, you can create all the nasty, twisted XML that may be demanded of you, but you need not descend into XML Hell to do it. Instead, you can work from the comfort of a well-stocked lounge, where clarity and conciseness are always on tap.

For example, here’s a snippet from an XSLT stylesheet, in the original XML:

<xsl:template match="/">
  <xsl:for-each select="//*/@src|//*/@href">
    <xsl:value-of select="."/>
    <xsl:text>&#10;</xsl:text>
  </xsl:for-each>
</xsl:template>

And here’s the same snippet, written in PXSL:

template /
  for-each //*/@src|//*/@href
    value-of .
    text <<&#10;>>

Isn’t that refreshing?

Why PXSL?

There are lots of XML shorthands available. (The PXSL FAQ lists about ten of them.) So why choose PXSL? Here’s why:

Also, PXSL is battle tested. It was first released in 2003 and has been saving people from XML Hell since. People who try it seem to like it:

  • I think PXSL could do wonders for soothing my irrational hatred for all things XML.kowey
  • Impressive… I converted some of my files from XML to PXSL and the readability was much improved.chris
  • Quite aside from the fact that XSLT is finally somewhat readable, the fact that you’ve added a serious macro system means that some serious scripting of XML can occur. I’m very impressed.invisible

The next time you’re headed for XML Hell, why not give the venerable PXSL a try? You might just find that you like it, too.


This public service announcement was brought to you in celebration of the 1.0 release of the pxsl-tools package. The PXSL-to-XML compiler pxslcc is written in Haskell and uses the cross-platform Haskell Cabal build/package system to let you use PXSL just about anywhere.

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How I stopped missing Darcs and started loving Git

Posted by Tom Moertel Mon, 10 Dec 2007 21:52:00 GMT

About three years ago, I switched to Darcs as my primary source-code management system. It was simple, intuitive, and powerful, and it made managing my projects more fun and less frustrating than any centralized VCS ever had. That it was written in Haskell, one of my favorite programming languages, made it even better. I was hooked.

Since then, the distributed SCM landscape has changed. Darcs hasn’t improved much, but its competitors have made long strides, especially Git and Mercurial. Both are crazy fast, vigorously developed, and widely used on large, highly active real-world projects, such as the Linux kernel and Mozilla 2. In comparison, Darcs has stagnated.

When I started working for a new company recently, I had to consider whether to advocate Darcs or something else. In the end, I decided that Darcs would be a hard sell. Nobody else at the company uses Haskell, and having to explain how to avoid the occasional corner case seemed liked a losing proposition.

After researching and playing around with Git and Mercurial, I settled on Git. I like Git’s underlying hashed-blobs model better than Mercurial’s revlogs, and Git seems to have slightly more development momentum. Still, it was a close call. Either choice would have been completely reasonable.

Missing Darcs

When I started using Git on real projects, the one thing I really missed was the ability to easily amend earlier patches, something Darcs made trivial. Let me explain. The typical development workflow goes something like this:

  1. Checkout copy of upstream code base.
  2. Implement feature X.
  3. Commit.
  4. Implement independent feature Y.
  5. Commit.
  6. Implement independent feature Z.
  7. Commit.
  8. Push new features back upstream.

Now, what really happens is that when I’m implementing Y or Z, I’ll realize that I made a mistake in X. The trick is then fixing X so that my fix is part of the changeset/patch for X that ultimately gets pushed upstream in the last step. That way, the upstream folks will see only a single, clean patch for feature X – not a mishmash of patches that together represent X.

In Darcs, amending the original patch is easy because its patch theory lets me tweak the patch for X independently of the other patches. Darcs will simply ask me which patch I want to amend, and I’ll select the orignal patch for X:

$ emacs               # fix X
$ darcs amend-record  # amend original patch for X

Mon Dec 10 14:43:13 EST 2007  Tom Moertel <tom@moertel.com>
  * Implemented Z
Shall I amend this patch? [yNvpq], or ? for help: n

Mon Dec 10 14:42:12 EST 2007  Tom Moertel <tom@moertel.com>
  * Implemented Y
Shall I amend this patch? [yNvpq], or ? for help: n

Mon Dec 10 14:41:46 EST 2007  Tom Moertel <tom@moertel.com>
  * Implemented X
Shall I amend this patch? [yNvpq], or ? for help: y
hunk ./x 1
-X1
+X2
Shall I add this change? (1/?)  [ynWsfqadjkc], or ? for help: y
Finished amending patch:
Mon Dec 10 14:43:25 EST 2007  Tom Moertel <tom@moertel.com>
  * Implemented X

That’s it. The exact same process will work regardless of when I realize I need to fix X: before I start Y, while I’m implementing Y, after I’ve committed Y, while I’m working on Z, or after I’ve committed Z.

Learning to love Git

With Git, however, I can amend a commit only if I haven’t committed anything else before making my fix. In Git’s mind, Y depends on X, and Z depends on Y, even if they really are independent of one another.

So if I commit the original patch for X and then immediately realize I need to make a fix, before I start working on Y or Z, it’s easy:

$ emacs               # implement X
$ git commit -m 'Implemented X'

# discover problem in X

$ emacs               # fix X
$ git commit --amend  # amend original patch

More typically, it’s only while I’m working on Y that I’ll realize I need to fix X. Then it’s more complicated to amend the original commit:

$ emacs               # implement X
$ git commit -m 'Implemented X'
$ emacs               # start working on Y

# discover problem in X

$ git stash           # stash away half-completed work on Y
$ emacs               # fix X
$ git commit --amend  # amend original patch for X
$ git stash apply     # restore work on Y
$ emacs               # continue working on Y

While not as convenient as Darcs’s workflow, it’s perfectly workable.

Now let’s consider another fairly typical case: I commit X and Y and then start working on Z before I notice the problem in X. I used to think that Git couldn’t handle this case, but it can, thanks to git rebase --interactive:
$ emacs               # implement X
$ git commit -m 'Implemented X'
$ emacs               # implement Y
$ git commit -m 'Implemented Y'
$ emacs               # start working on Z

# discover problem in X

$ git stash           # stash away half-completed work on Z
$ emacs               # fix X
$ git commit -m 'Fixed X'
$ git rebase --interactive HEAD~3  # see comments below
$ git stash apply     # restore work on Z
$ emacs               # continue working on Z
The git rebase --interactive command is powerful. What the command does, as called in the snippet above, is invoke my editor of choice on a text file describing the last 3 commits (that’s the HEAD~3 part):
# Rebasing 3ad99a7..b9a8405 onto 3ad99a7
#
# Commands:
#  pick = use commit
#  edit = use commit, but stop for amending
#  squash = use commit, but meld into previous commit
#
# If you remove a line here THAT COMMIT WILL BE LOST.
#
pick 0885540 Implemented X
pick 320b115 Implemented Y
pick b9a8405 Fixed X

I can then edit the file to reorder, merge (squash), and/or remove the commits. In this example, I want to merge the fix for X into the original commit that implemented X. So I edit the file like so:

pick 0885540 Implemented X
squash b9a8405 Fixed X
pick 320b115 Implemented Y

Then I save the file, at which point Git takes over and makes the requested changes, merging the fix for X into the original commit for X. Now the log shows the original implementation and fix as one commit:

$ git log
commit f387d650976246c0854d028b040cca40e542be56
Author: Tom Moertel <tom@moertel.com>
Date:   Mon Dec 10 15:11:26 2007 -0500

    Implemented Y

commit 82a1c849ffd1bd688d5bc9d99be0e63548a89c4c
Author: Tom Moertel <tom@moertel.com>
Date:   Mon Dec 10 15:13:03 2007 -0500

    Implemented X

    Fixed X

commit 3ad99a7ef537b7ae99e435e0d2b4b0d03de92c65
Author: Tom Moertel <tom@moertel.com>
Date:   Mon Dec 10 15:11:14 2007 -0500

    Initial checkin

Once I figured out how to use git rebase --interactive, I stopped missing Darcs and started loving Git.

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