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This class creates features for n-grams in the page text that appear in the
phishing classification model. It will eventually operate on the plain text
that is extracted by RenderView::CaptureText().
To make it harder for phishers to enumerate the terms in the classification
model, they will be supplied as SHA-256 hashes rather than plain text. The
term feature extractor hashes the words in the document in order to check
whether they match the model. Since this is potentially expensive, the term
feature extractor limits how long it will run on each iteration, similar to
the PhishingDOMFeatureExtractor.
TEST=PhishingTermFeatureExtractorTest
BUG=none
Review URL: http://codereview.chromium.org/3214002
git-svn-id: svn://svn.chromium.org/chrome/trunk/src@58537 0039d316-1c4b-4281-b951-d872f2087c98
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PhishingDOMFeatureExtractor iterates over the page elements and computes a
number of features. To avoid blocking the renderer for too long, the extractor
may run in several chunks of works, posting a task to continue processing if
necessary.
This CL only includes the feature extraction itself. I will add the logic to
cap the time per iteration in a follow-up CL.
BUG=none
TEST=PhishingDOMFeatureExtractorTest
Review URL: http://codereview.chromium.org/2878046
git-svn-id: svn://svn.chromium.org/chrome/trunk/src@54082 0039d316-1c4b-4281-b951-d872f2087c98
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BUG=50273
TEST=everything still builds, build is 10% faster on windows, same speed on mac/linux
TBR: erg
git-svn-id: svn://svn.chromium.org/chrome/trunk/src@53716 0039d316-1c4b-4281-b951-d872f2087c98
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This change implements the URL-based features that we'll use for client-side
phishing detection. Right now, the features are simply inserted into a map.
Later changes will add content-based features, scoring, and hook up the code to
run after page load is finished.
BUG=none
TEST=PhishingUrlFeatureExtractorTest, PhishingFeaturesTest
Review URL: http://codereview.chromium.org/2843036
git-svn-id: svn://svn.chromium.org/chrome/trunk/src@51922 0039d316-1c4b-4281-b951-d872f2087c98
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