Even big data devs make big data security gaffes

Even big data devs make big data security gaffes

Even big data devs make big data security gaffes

Apache Big Data Europe Big data application programmers routinely download and execute unverified code, opening the door to information-stealing hackers, a security researcher has claimed.

Olaf Flebbe, chief software architect at European software integrator Science+Computing, is upset that software engineers have got into the habit of insecurely reusing components. This puts the organization a developer works for, as well as its clients and partners, at risk of compromise, he said.

We should note that this isn't really a problem limited to big data apps: securing package managers to fend off malicious updates is necessary for all programming languages, operating systems and areas of software development. Flebbe was speaking at the Apache Big Data conference in Seville, Spain, however, hence the big data connection.

Flebbe said miscreants can set up shop on expired web domains used by abandoned projects to push out tampered builds of code to unsuspecting coders. Another trouble area, we're told, is Maven – the Apache build manager for Java projects.

Read Also:
Getting Off to a Great Start in Your Big Data Career

During his presentation at the Apache conference last week, Flebbe demonstrated an exploit involving Apache Flink – an open-source stream and batch-processing tool that can be installed via Maven. He showed how it was possible to fool Maven into downloading and running calc.exe rather than the legit Sysinternals tool junction.exe on a Windows system. The point was to show that it is possible to trick Maven users into unknowingly bringing malicious software onto their computers.

 



Predictive Analytics Innovation summit San Diego
22 Feb

$200 off with code DATA200

Read Also:
Clinician Sharing of Data a Top Reason for Data Breaches
Read Also:
ArtificiaI intelligence, APIs and the transformation of computer science
Read Also:
Seven ways to be data-driven off a cliff
Read Also:
How Big Data Analytics Can Boost Provider Autonomy, Outcomes
Read Also:
Building a Real-Time Recommendation Engine With Data Science

Leave a Reply

Your email address will not be published. Required fields are marked *