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.

Analytics

6/11/2009
03:08 PM
Connect Directly
Google+
Twitter
RSS
E-Mail
50%
50%

Survey: Poor Economy Leads To Rise In Sneaky IT Behavior

More than one-third of IT professionals have used their admin rights to view human resources records, customer databases, M&A plans, layoff lists, and marketing information

IT snooping is on the rise, with more IT professionals admitting they're tempted to abuse their access privileges, according to a newly released report.

The unstable economy and job market seem to be exacerbating IT pros' bad behavior: Six times more IT pros this year than last said they would take financial reports or merger and acquisition (M&A) plans if they were to lose their jobs, while more than one-third (35 percent) admitted to having abused their admin rights to view confidential data in their organizations, such as human resources records, customer databases, M&A plans, layoff lists, and marketing information.

Cyber-Ark's 2009 Trust, Security & Passwords Survey found that 74 percent of respondents stated they could circumvent controls currently in place to prevent access to internal information. One in five companies has been victimized by insider sabotage or IT security fraud, and 36 percent of those think their competitors may have been given their intellectual property or sensitive data. And 74 percent of the roughly 400 senior IT professionals from U.S. and U.K. enterprises who participated in the study said they are able to circumvent any security in place that protects access to internal data.

"This survey shows that while most employees claim that access to privileged accounts is currently monitored, and an overwhelming majority support additional monitoring practices, employee snooping on sensitive information continues unabated," says Udi Mokady, CEO of Cyber-Ark, which sells identity management tools. "Businesses must wake up and realize that trust is not a security policy; they have an organizational responsibility to lock down sensitive data and systems, while monitoring all activity -- even when legitimate access is granted."

If fired, more IT workers said they would take company data with them than those surveyed last year. This year's respondents would take customer database information (47 percent, up from 35 percent last year); email server admin accounts (47 percent, up from 13 percent); M&A plans (47 percent, up from 7 percent); R&D plans (46 percent, up from 13 percent); CEO's password (46 percent, up from 11 percent); financial reports (46 percent, up from 11 percent); and privileged passwords lists (42 percent, up from 31 percent).

Have a comment on this story? Please click "Discuss" below. If you'd like to contact Dark Reading's editors directly, send us a message.

Kelly Jackson Higgins is the Executive Editor of Dark Reading. She is an award-winning veteran technology and business journalist with more than two decades of experience in reporting and editing for various publications, including Network Computing, Secure Enterprise ... View Full Bio

Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
COVID-19: Latest Security News & Commentary
Dark Reading Staff 9/25/2020
Hacking Yourself: Marie Moe and Pacemaker Security
Gary McGraw Ph.D., Co-founder Berryville Institute of Machine Learning,  9/21/2020
Startup Aims to Map and Track All the IT and Security Things
Kelly Jackson Higgins, Executive Editor at Dark Reading,  9/22/2020
Register for Dark Reading Newsletters
White Papers
Video
Cartoon
Current Issue
Special Report: Computing's New Normal
This special report examines how IT security organizations have adapted to the "new normal" of computing and what the long-term effects will be. Read it and get a unique set of perspectives on issues ranging from new threats & vulnerabilities as a result of remote working to how enterprise security strategy will be affected long term.
Flash Poll
How IT Security Organizations are Attacking the Cybersecurity Problem
How IT Security Organizations are Attacking the Cybersecurity Problem
The COVID-19 pandemic turned the world -- and enterprise computing -- on end. Here's a look at how cybersecurity teams are retrenching their defense strategies, rebuilding their teams, and selecting new technologies to stop the oncoming rise of online attacks.
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2020-15208
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can ...
CVE-2020-15209
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, a crafted TFLite model can force a node to have as input a tensor backed by a `nullptr` buffer. This can be achieved by changing a buffer index in the flatbuffer serialization to convert a read-only tensor to a read-write one....
CVE-2020-15210
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and ...
CVE-2020-15211
PUBLISHED: 2020-09-25
In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indices f...
CVE-2020-15212
PUBLISHED: 2020-09-25
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to `segment_ids_data` can alter `output_index` and then write to outside of `outpu...