Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Mathew J. Schwartz

Mathew J. Schwartz



Weaponized Bugs: Time For Digital Arms Control



(Page 2 of 2)

By many accounts, however, bug-selling remains a relatively exclusive arena, meaning it shouldn't be tough to regulate. Furthermore, that's unlikely to change, as it's difficult to turn zero-day millionaire, given fierce competition from other bug hunters, as well as the risk that a vendor might already have discovered a zero-day vulnerability, and have a fix in development.

Still, the price paid for some vulnerabilities suggests that ethically speaking, sellers might be up to no good. As Microsoft threat analyst Terri Forslof has said, "If I'm paying $50,000 for a vulnerability, what am I doing with it? I'm likely not trying to get it patched."

Vulnerabilities are hot in part because they can be weaponized and put to work quite quickly. "It doesn't take much time at all to commoditize a vulnerability into an exploit," said Sean Sullivan, security advisor at F-Secure Labs, in a blog post. For example, he found that the Adobe Flash Player security update (CVE-2012-1535) released Aug. 14, 2012, was followed the very next day by the appearance of in-the-wild attacks that used Microsoft Office Word documents with embedded exploits of the Flash vulnerability. Interestingly, one of the decoy Word documents that employed the Flash exploit was apparently targeting people interested in atomic weapons programs. And by Aug. 17, the exploit was part of the open-source Metasploit vulnerability testing toolkit.

Given the shift from bug bounties to vulnerabilities being used to power digital espionage or offensive operations, why not regulate the sale of dangerous bugs? Of course, new government regulations aren't the solution to every problem. But most governments do regulate the sales of arms so average Joes can't buy rocket launchers or fighter attack jets, unless, of course, they are Larry Ellison. Furthermore, because "cyber warfare" is meant to be the new military frontier, there's no reason not to regulate the buying and selling of zero-day vulnerabilities, at least to ensure they're not being used for nefarious purposes.

Currently, there are no laws against the buying or selling of bugs. "It's important to realize that, however much of an unpleasant taste this might or might not leave in your mouth, none of these people are acting illegally," says Graham Cluley, senior technology consultant at Sophos, in a blog post. "They've worked hard, using their skills to discover vulnerabilities in software systems. They are not exploiting these security holes themselves, and they aren't breaking the law."

What vexes many security experts is that the details of the bug remain hidden to all but the buyer, thus potentially putting everyone else at risk. Furthermore, what if an unscrupulous third party or foreign government gets its hands on the zero-day and begins using it to attack American businesses or government systems?

According to Soghoian, vulnerability sellers argue that the buying and selling of vulnerabilities should be left to free-market forces. But as he said in his keynote, once other governments begin snapping up zero-days and using them to attack the United States, the U.S. government might suddenly find itself arguing for regulating bug sales on the grounds of self defense. For consumers and businesses that rely on PCs and who don't want to find themselves at the receiving end of an undetectable, zero-day-driven targeted attack, that would be welcome news.

Cybercriminals are taking aim at your website. Is your security strategy up to the challenge? Also in the new, all-digital 10 Steps To E-Commerce Security issue of Dark Reading: About half of the traffic to e-commerce sites is machine generated--and much of it is malicious. (Free registration required.)

« Previous Page | 1 2  


Related Reading


More Insights




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.