January 30, 2017
Apparently, money laundering has become a very complicated endeavor, with tools like Bitcoin “washers” available via the Dark Web. Other methods include trading money for gaming or other virtual currencies and “carding.” ZDNet discusses law enforcement’s efforts to keep up in, “How Machine Learning Can Stop Terrorists from Money Laundering.”
It will not surprise our readers to learn authorities are turning to machine learning to cope with new money laundering methods. Reporter Charlie Osborne cites the CEO of cybersecurity firm ThetaRay, Mark Gazit, when she writes:
By taking advantage of Big Data, machine learning systems can process and analyze vast streams of information in a fraction of the time it would take human operators. When you have millions of financial transactions taking place every day, ML provides a means for automated pattern detection and potentially a higher chance of discovering suspicious activity and blocking it quickly. Gazit believes that through 2017 and beyond, we will begin to rely more on information and analytics technologies which utilize machine learning to monitor transactions and report crime in real time, which is increasingly important if criminals are going to earn less from fraud, and terrorism groups may also feel the pinch as ML cracks down on money laundering.
Of course, criminals will not stop improving their money-laundering game, and authorities will continue to develop tools to thwart them. Just one facet of the cybersecurity arms race.
Cynthia Murrell, January 30, 2017
January 12, 2017
An article on Security Affairs called Boffins spotted over 100 snooping Tor HSDir nodes spying on Dark Web sites points to a new tactic that could be useful to companies offering Dark Web intelligence services. Within the inner workings of the Dark Web live at least 100, according to researchers, malicious hidden service directories (HSDirs). These are the relays of the network that allow people to visit hidden services. The author quotes researchers Filippo Valsorda and George Tankersley who presented at the Hack in the Box Security Conference,
When a person wants to host a hidden service, they have to advertise their service on a Tor Onion database, which is a DHT made up of a group of stable relay machines called HSDirs . The person who wants to visit the hidden service has to request information about that service from the database. Therefore, those relays or HSDirs can see who is making the request for a connection and when you want to connect. Therefore, to deanonymize a user’s traffic, an attacker could choose to become the HSDir nodes for the hidden service.
Additionally, researchers from Karlstad University in Sweden found 25 nodes within the The Onion Router (Tor) which showed entities snooping on the supposedly anonymous network. It appears gaps exist. The research shows an unspecified actor from Russia was eavesdropping. Are these snoopers Dark Web intelligence or cybercriminals? We shall stay tuned.
Megan Feil, January 12, 2017
January 11, 2017
Vendors of stolen credit card information on the dark web are now verifying their customers’ identities, we learn from an article at the International Business Times, “The Fraud Industry: Expect to be KYC’d by Criminals When Buying Stolen Credit Cards on the Dark Web.” Yes, that is ironic. But these merchants are looking for something a little different from the above-board businesses that take KYC measures. They want to ensure potential clients are neither agents of law-enforcement nor someone who will just waste their time. Reporter Ian Allison cites Richard Harris, an expert in fraud detection through machine learning, when he writes:
Harris said some websites begin with a perfunctory request that the buyer produce some stolen card numbers of their own to show they are in the game. ‘There are various websites like that where undercover cops have been caught out and exposed. Like anybody else, they are in business and they take the security of their business seriously,’ he said.
Things have moved on from the public conception of a hacker in a hoodie who might hack the Pentagon’s website one day and steal some credit card details the next. That was 10 or 15 years ago. Today this is a business, pure and simple. It is about money and lots of it, like for instance the recent hit in Japan that saw a criminal gang make off with ¥1.4bn (£8.9m, $13m) from over 1,400 ATMs in under three hours. They simultaneously targeted teller machines located in Tokyo, Kanagawa, Aichi, Osaka, Fukuoka, Nagasaki, Hyogo,Chiba and Nigata. The Japanese police suspect more than 100 criminals were involved in the heist.
Harris is excited about the potential for machine learning to help thwart such sophisticated and successful, criminals. The article continues with more details about today’s data-thievery landscape, such as the dark-web bulletin boards where trade occurs, and the development of “sniffers” — fake wi-fi hubs that entice users with a promise of free connectivity, then snatch passwords and other delectable data. Allison also mentions the feedback pages on which customers review dark-web vendors, and delves into ways the dark web is being used to facilitate human trafficking. See the write-up for more information.
Cynthia Murrell, January 11, 2017
January 4, 2017
A new service has been launched in UK that enables users to find out if their confidential information is up for sale over the Dark Web.
As reported by Hacked in an article This Tool Lets You Scan the Dark Web for Your (Stolen) Personal Data, it says:
The service is called OwlDetect and is available for £3,5 a month. It allows users to scan the dark web in search for their own leaked information. This includes email addresses, credit card information and bank details.
The service uses a supposedly sophisticated algorithm that has alleged capabilities to penetrate up to 95% of content on the Dark Web. The inability of Open Web search engines to index and penetrate Dark Web has led to mushrooming of Dark Web search engines.
OwlDetect works very similar to early stage Google, as it becomes apparent here in the article:
This new service has a database of stolen data. This database was created over the past 10 years, presumably with the help of their software and team. A real deep web search engine does exist, however.
This means the search is not real time and is as good as searching your local hard drive. Most of the data might be outdated and companies that owned this data might have migrated to secure platforms. Moreover, the user might also have deleted the old data. Thus, the service just tells you that were you ever hacked or was your data was even stolen?
Vishal Ingole, January 4, 2017
January 2, 2017
Recently a conference took place about cybersecurity in the enterprise world. In the Computer World article, Offensive hackers should be part of enterprise DNA, the keynote speaker’s address is quoted heavily. CEO of Endgame Nate Fick addressed the audience, which apparently included many offensive hackers, by speaking about his experience in the private sector and in the military. His perspective is shared,
“We need discontinuity in the adoption cure,” Fick said, “but you can’t hack back. Hacking back is stupid, for many reasons not just that it is illegal.” He argued that while it is illegal, laws change. “Remember it used to be illegal to drink a beer in this country, and it was legal for a kid to work in a coal mine,” he said. Beyond the issue of legality, hacking back is, what Fick described as, climbing up the escalatory ladder, which you can’t do successfully unless you have the right tools. The tools and the power or ability to use them legally has historically been granted to the government.
Perhaps looking toward a day where hacking back will not be illegal, Fick explains an alternative course of action. He advocates for stronger defense and clear government policies around cybersecurity that declare what constitutes as a cyberthreat offense. The strategy being that further action on behalf of the attacked would count as defense. We will be keeping our eyes on how long hacking back remains illegal in some jurisdictions.
Megan Feil, January 2, 2017
December 19, 2016
Anti-surveillance hacker, Phineas Fisher, was covered in a recent Vice Motherboard article called, Hacker ‘Phineas Fisher’ Speaks on Camera for the First Time—Through a Puppet. He broke into Hacking Team, one of the companies Vice called cyber mercenaries. Hacking team and other firms sels hacking and surveillance tools to police and intelligence agencies worldwide. The article quotes Fisher saying,
I imagine I’m not all that different from Hacking Team employees, I got the same addiction to that electronic pulse and the beauty of the baud [a reference to the famous Hacker’s manifesto]. I just had way different experiences growing up. ACAB [All Cops Are Bastards] is written on the walls, I imagine if you come from a background where you see police as largely a force for good then writing hacking tools for them makes some sense, but then Citizen Lab provides clear evidence it’s being used mostly for comic-book villain level of evil. Things like spying on journalists, dissidents, political opposition etc, and they just kind of ignore that and keep on working. So yeah, I guess no morals, but most people in their situation would do the same. It’s easy to rationalize things when it makes lots of money and your social circle, supporting your family etc depends on it.
The topics of ethical and unethical hacking were discussed in this article; Fisher states the tools used by Hacking Team were largely used for targeting political dissidents and journalists. Another interesting point to note is that his evaluation of Hacking Team’s software is that it “works well enough for what it’s used for” but the real value it offers is “packaging it in some point-and-click way.” An intuitive user experience remains key.
Megan Feil, December 19, 2016