Mobile

9/12/2018
11:45 AM
50%
50%

Mobile Attack Rates Up 24% Globally, 44% in US

One-third of all fraud targets are mobile, a growing source of all digital transactions.

The proportion of mobile-vs.-desktop transactions has nearly tripled in the last three years, and instances of mobile fraud and cyberattacks have grown as attackers go where their victims are.

More than half (58%) of digital transactions now originate from mobile devices, ThreatMetrix researchers discovered in their Q2 Cybercrime Report 2018. One-third of all fraud now targets mobile, with global attacks up 24% compared with the first half of 2017. The United States saw a far higher growth rate: Mobile cyberattacks increased 44% during the same time period.

The financial services sector has been hit hard with the growth of mobile cybercrime. Of the 81 million attacks to hit the industry in the first half of 2018, 27 million targeted mobile devices as fraudsters capitalize on the rise of mobile banking adoption. The biggest threat to financial services, researchers report, comes from device spoofing. Attackers attempt to trick banks into thinking fraudulent login attempts are coming from new customer devices.

Identity spoofing is a broad problem, especially on social networks and dating websites, which have the highest mobile footprint across industries: 85% of total transactions, and 88% of account creations, for social sites happened on mobile devices. Identity spoofing makes up 13.3% of attacks on this sector; attackers often use proxy servers to trick their victims into thinking they're geographically closer than they are.

Read more details here.

 

Black Hat Europe returns to London Dec 3-6 2018  with hands-on technical Trainings, cutting-edge Briefings, Arsenal open-source tool demonstrations, top-tier security solutions and service providers in the Business Hall. Click for information on the conference and to register.

Dark Reading's Quick Hits delivers a brief synopsis and summary of the significance of breaking news events. For more information from the original source of the news item, please follow the link provided in this article. View Full Bio

Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
New Cold Boot Attack Gives Hackers the Keys to PCs, Macs
Kelly Sheridan, Staff Editor, Dark Reading,  9/13/2018
Yahoo Class-Action Suits Set for Settlement
Dark Reading Staff 9/17/2018
RDP Ports Prove Hot Commodities on the Dark Web
Kelly Sheridan, Staff Editor, Dark Reading,  9/17/2018
Register for Dark Reading Newsletters
White Papers
Video
Cartoon Contest
Current Issue
Flash Poll
The Risk Management Struggle
The Risk Management Struggle
The majority of organizations are struggling to implement a risk-based approach to security even though risk reduction has become the primary metric for measuring the effectiveness of enterprise security strategies. Read the report and get more details today!
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2018-3829
PUBLISHED: 2018-09-19
In Elastic Cloud Enterprise (ECE) versions prior to 1.1.4 it was discovered that a user could scale out allocators on new hosts with an invalid roles token. An attacker with access to the previous runner ID and IP address of the coordinator-host could add a allocator to an existing ECE install to ga...
CVE-2018-3830
PUBLISHED: 2018-09-19
Kibana versions 5.3.0 to 6.4.1 had a cross-site scripting (XSS) vulnerability via the source field formatter that could allow an attacker to obtain sensitive information from or perform destructive actions on behalf of other Kibana users.
CVE-2018-3831
PUBLISHED: 2018-09-19
Elasticsearch Alerting and Monitoring in versions before 6.4.1 or 5.6.12 have an information disclosure issue when secrets are configured via the API. The Elasticsearch _cluster/settings API, when queried, could leak sensitive configuration information such as passwords, tokens, or usernames. This c...
CVE-2018-3823
PUBLISHED: 2018-09-19
X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting (XSS) vulnerability. Users with manage_ml permissions could create jobs containing malicious data as part of their configuration that could allow the attacker to obtain sensitive information from or perform destructiv...
CVE-2018-3824
PUBLISHED: 2018-09-19
X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting (XSS) vulnerability. If an attacker is able to inject data into an index that has a ML job running against it, then when another user views the results of the ML job it could allow the attacker to obtain sensitive inf...