Attacks/Breaches
11/1/2013
01:15 PM
Connect Directly
RSS
E-Mail
50%
50%

Researchers Sharpen Spear-Phishing With New Tool Leveraging Social Networks

A new tool mixes data mining with natural language processing to help pen testers create more attractive spear-phishing messages

Phishing hooks more than its share of people and organizations. But just like its homophonic counterpart, phishing can always be made easier with the right bait.

At the upcoming Black Hat Regional Summit in Brazil, Trustwave researchers Joaquim Espinhara and Ulisses Albuquerque plan to do exactly that. Using a new tool they call 'µphisher' (read as microphisher), the researchers say they have found a way to gather the digital breadcrumbs users leave on the Internet through social networks, mailing lists, online forums, and beyond.

With a mix of data mining and natural language processing [NLP], the tool can find patterns in the way a target communicates online and about what, so the information can be used to craft a more enticing attack.

"µphisher builds a database of social network status updates and makes these available for building user profiles," Albuquerque says.

Those profiles, he explains, focus on text provided by a target of interest and allow pen testers to build support data structures for the most commonly used words, as well as the people the target most frequently interacts with on social networks, hashtags, and gelocation information. With that in hand, the tool uses the information to rank how close phony content is to legitimate content produced by the target.

"We check sentence length, if the words are typically used by the target, and if the referenced users and hashtags match those actually used by [them]," Albuquerque says.

"Since different social media networks are used for different purposes ... all [social] networks are possible targets," he says. "Professional content, geolocation, pictures and movies, interacting with friends -- every one of these activities involves a different 'online persona' by the user, and the phrasing, words, and sentence length will vary wildly between content written for each of these purposes. So we don't focus on one particular social network because that would mean focusing on content which might not look legitimate on other social networks."

The tool does not try to interpret the meaning of what the user is talking about; therefore, slang, abbreviations, and other "non-standard" words would end up in its dictionary even though the natural language processing engine might not be able to categorize them properly.

"Since the tool was developed to support quick engagements, we do not want to have the consultant/penetration tester spending too much time trying to analyze and infer intention on the subject of interest," the researcher says. "We just want to help produce content that looks like it was written by the target. Thus, anything which is not proper English will be treated as noise, but will end up in our dictionaries,and will be still checked against when evaluating user-provided content."

The tool uses the official APIs for obtaining data, and in their talk the researchers plan to touch on potential legal implications of using the tool. According to Albuquerque, the user must generate the required tokens with each social network, and the tool itself does not try to be stealthy in its activities. For that reason, it may be subject to restrictions by some social networks.

"We also authenticate against the networks using the actual user identity of the person operating the tool when fetching data -- which should be enough to transfer most of the liability to them when using the tool for not-so-legitimate scenarios," he says. "We certainly do not wish it to be used as an umbrella to hide malicious users against an application-wide identity in order to harvest data from unknowing targets."

The researchers' presentation is scheduled for Nov. 26 at the summit, which will be held at the Transamerica Expo Center in Sao Paulo.

Have a comment on this story? Please click "Add Your Comment" below. If you'd like to contact Dark Reading's editors directly, send us a message. Brian Prince is a freelance writer for a number of IT security-focused publications. Prior to becoming a freelance reporter, he worked at eWEEK for five years covering not only security, but also a variety of other subjects in the tech industry. Before that, he worked as a ... View Full Bio

Comment  | 
Print  | 
More Insights
Register for Dark Reading Newsletters
White Papers
Flash Poll
Current Issue
Cartoon
Video
Slideshows
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2013-6306
Published: 2014-08-22
Unspecified vulnerability on IBM Power 7 Systems 740 before 740.70 01Ax740_121, 760 before 760.40 Ax760_078, and 770 before 770.30 01Ax770_062 allows local users to gain Service Processor privileges via unknown vectors.

CVE-2014-0232
Published: 2014-08-22
Multiple cross-site scripting (XSS) vulnerabilities in framework/common/webcommon/includes/messages.ftl in Apache OFBiz 11.04.01 before 11.04.05 and 12.04.01 before 12.04.04 allow remote attackers to inject arbitrary web script or HTML via unspecified vectors, which are not properly handled in a (1)...

CVE-2014-3525
Published: 2014-08-22
Unspecified vulnerability in Apache Traffic Server 4.2.1.1 and 5.x before 5.0.1 has unknown impact and attack vectors, possibly related to health checks.

CVE-2014-3563
Published: 2014-08-22
Multiple unspecified vulnerabilities in Salt (aka SaltStack) before 2014.1.10 allow local users to have an unspecified impact via vectors related to temporary file creation in (1) seed.py, (2) salt-ssh, or (3) salt-cloud.

CVE-2014-3587
Published: 2014-08-22
Integer overflow in the cdf_read_property_info function in cdf.c in file through 5.19, as used in the Fileinfo component in PHP before 5.4.32 and 5.5.x before 5.5.16, allows remote attackers to cause a denial of service (application crash) via a crafted CDF file. NOTE: this vulnerability exists bec...

Best of the Web
Dark Reading Radio
Archived Dark Reading Radio
Three interviews on critical embedded systems and security, recorded at Black Hat 2014 in Las Vegas.