Dark Reading is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Endpoint

7/16/2018
04:50 PM
Connect Directly
Twitter
LinkedIn
Google+
RSS
E-Mail
50%
50%

Less Than Half of Cyberattacks Detected via Antivirus: SANS

Companies are buying next-gen antivirus and fileless attack detection tools but few have the resources to use them, researchers report.

Businesses are investing in more advanced endpoint security tools but don't have the means to properly implement and use them, according to a new report from the SANS Institute.

The SANS 2018 Survey on Endpoint Protection and Response polled 277 IT professionals on endpoint security concerns and practices. In this year's survey, 42% of respondents reported endpoint exploits, down from 53% in 2017. However, the number of those who didn't know they had been breached jumped from 10% in 2017 to 20% in 2018.

Traditional tools are no longer sufficient to detect cyberattacks, the data shows: Antivirus systems only detected endpoint compromise 47% of the time; other attacks were caught through automated SIEM alerts (32%) and endpoint detection and response platforms (26%).

Most endpoint attacks are intended to exploit users. More than 50% of respondents reported Web drive-by incidents, 53% pointed to social engineering and phishing attacks, and half cited ransomware. Credential theft was used in 40% of compromises reported, researchers state.

The majority (84%) of endpoint breaches involve more than one device, experts report. Desktops and laptops are still the top devices of concern, but attackers are also compromising server endpoints, cloud-based endpoints, SCADA, and other industrial IoT devices. Cloud-based endpoints are increasingly popular, going from just over 40% in 2017 to 60% in 2018.

Given the commonality and effectiveness of user-targeted attacks, it's worth noting that detection technologies designed to look at user and system behavior, or provide context awareness, were less involved in detecting breaches. Only 23% of breaches were found with attack behavior-modeling and only 11% were detected with behavior analytics.

Businesses aren't using these technologies as often because they lack the means, SANS reports. Many IT and security pros report investing in next-gen capabilities but not installing them. For example, half have acquired next-gen AV tools but 37% have not implemented them. Forty-nine percent have fileless attack detection tools but 38% haven't implemented the tech.

When breaches do occur it seems many businesses can trace them to the source. Nearly 80% of respondents report they can tie a user to endpoints and servers at least half the time (34% always, 45% at least half), which adds an identity when making decisions about user behavior.

Data collection makes a major difference in data breach remediation, but  organizations don't always have access to the data they needed. Most (84%) respondents want more network access and user data, 74% want more network security data from firewall/IPS/unified threat management systems, and 69% want better network traffic analysis.

Related Content:

 

 

 

Black Hat USA returns to Las Vegas 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.

Kelly Sheridan is the Staff Editor at Dark Reading, where she focuses on cybersecurity news and analysis. She is a business technology journalist who previously reported for InformationWeek, where she covered Microsoft, and Insurance & Technology, where she covered financial ... View Full Bio

Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
Sodinokibi Ransomware: Where Attackers' Money Goes
Kelly Sheridan, Staff Editor, Dark Reading,  10/15/2019
Data Privacy Protections for the Most Vulnerable -- Children
Dimitri Sirota, Founder & CEO of BigID,  10/17/2019
State of SMB Insecurity by the Numbers
Ericka Chickowski, Contributing Writer,  10/17/2019
Register for Dark Reading Newsletters
White Papers
Video
Cartoon
Current Issue
7 Threats & Disruptive Forces Changing the Face of Cybersecurity
This Dark Reading Tech Digest gives an in-depth look at the biggest emerging threats and disruptive forces that are changing the face of cybersecurity today.
Flash Poll
2019 Online Malware and Threats
2019 Online Malware and Threats
As cyberattacks become more frequent and more sophisticated, enterprise security teams are under unprecedented pressure to respond. Is your organization ready?
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2019-17424
PUBLISHED: 2019-10-22
A stack-based buffer overflow in the processPrivilage() function in IOS/process-general.c in nipper-ng 0.11.10 allows remote attackers (serving firewall configuration files) to achieve Remote Code Execution or Denial Of Service via a crafted file.
CVE-2019-16404
PUBLISHED: 2019-10-21
Authenticated SQL Injection in interface/forms/eye_mag/js/eye_base.php in OpenEMR through 5.0.2 allows a user to extract arbitrary data from the openemr database via a non-parameterized INSERT INTO statement, as demonstrated by the providerID parameter.
CVE-2019-17400
PUBLISHED: 2019-10-21
The unoconv package before 0.9 mishandles untrusted pathnames, leading to SSRF and local file inclusion.
CVE-2019-17498
PUBLISHED: 2019-10-21
In libssh2 v1.9.0 and earlier versions, the SSH_MSG_DISCONNECT logic in packet.c has an integer overflow in a bounds check, enabling an attacker to specify an arbitrary (out-of-bounds) offset for a subsequent memory read. A crafted SSH server may be able to disclose sensitive information or cause a ...
CVE-2019-16969
PUBLISHED: 2019-10-21
In FusionPBX up to 4.5.7, the file app\fifo_list\fifo_interactive.php uses an unsanitized "c" variable coming from the URL, which is reflected in HTML, leading to XSS.