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.

Author

 Bob Rudis & Deral Heiland
Twitter
RSS
E-Mail

Profile of Bob Rudis & Deral Heiland

Rapid7 Chief Data Scientist & IoT Research Lead
News & Commentary Posts: 1

Bob Rudis, Chief Data Scientist, Rapid7
Bob Rudis has over 20 years of experience using data to help defend global Fortune 100 companies and is a chief security data scientist at Rapid7. Bob is a serial tweeter (@hrbrmstr), avid blogger (rud.is), author (Data-Driven Security), speaker and regular contributor to the open source community (github.com/hrbrmstr). He currently serves on the board of directors for the Society of Information Risk Analysts, is on the editorial board of SANS Securing The Human program, and was co-chair of the 2014 Metricon security metrics/analytics conference. He holds a bachelor's degree in computer science from the University of Scranton.

Deral Heiland, IoT Research Lead, Rapid7
Deral is responsible for security assessments and consulting for corporations and government agencies. He has over 20 years of experience in the information technology field, and has held multiple positions including: senior network analyst, network administrator, database manager, and financial systems manager. Deral is also founder of Ohio Information Security Forum, a not for profit organization that focuses on information security training and education. He has presented at numerous national and international security conferences including Blackhat, ShmooCon, Defcon, Derbycon, Securitybyte India, and Hackcon Olso Norway, and he has been interviewed by and quoted by several media outlets and publications including Bloomberg UTV, MIT Technical Review, MSNBC and PCworld.

Articles by Bob Rudis & Deral Heiland
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-2019-16404
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.
CVE-2019-16974
PUBLISHED: 2019-10-21
In FusionPBX up to 4.5.7, the file app\contacts\contact_times.php uses an unsanitized "id" variable coming from the URL, which is reflected in HTML, leading to XSS.