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.

ABTV

11/20/2017
05:51 PM
Curtis Franklin
Curtis Franklin
Curt Franklin
50%
50%

It's Inevitable: You've Been Hacked

If your personal information is available on the Internet, you should assume that a hacker has it.

The notion that every organization has a perimeter that has been breached isn't new. And much of modern security is how to deal with that. But take it a step further: What do you do when every employee, customer and partner has personal info that has been hacked?

That's the question posed by a press conference given by members of the agencies fighting cyber crime in the UK. Peter Goodman, the National Police Chiefs' Council lead for cyber crime, reported that his personal information has been stolen three times [registration required] and that virtually every computer user in the UK has had personally identifiable information (PII) stolen and sold on the dark web.

For those fighting against PII theft and other cyber crime, the idea that everyone's information is already on the dark web is disheartening, akin, in some ways, to declaring that the security war has already been lost. It's not impossible, though, to find those who aren't ready to wave a white flag and succumb to depression when it comes to computer security.

Some gain their optimism from a sense that the scale of information loss has been over-stated. In a statement to Security Now, the CEO of High-Tech Bridge, Ilia Kolochenko, said, "Digitalization has become an inalienable part of our everyday lives. Even people who have never used a PC or a smartphone have their personal data stored and processed somewhere. Cybercrime is skyrocketing, and the vast majority of digital systems have been breached. However, I think that it's technically incorrect to say that every person was hacked, as our common notion of 'hack' implies at least some motive and targeting."

This notion, that there hasn't been specific targeting involved with absolutely everyone's information, is part of what gives others hope, as well. In conversations this author has had with a number of cybersecurity professionals, many have expressed the opinion that there is now so much basic information out on the dark web that any given individual's chances of being a victim are still small. Think of it as the "bait ball" theory of cyber defense.

And that brings us to the "what does this mean for my organization?" part of the proceedings. One of the big things is that basic PII has little value for most criminals; the valuable information is all of the enriched data that comes from specific financial or healthcare records. Those, then, must be highly protected precisely because they contain the sort of data that allows for targeted attacks against individuals.

Because a given individual might still be the target of an attack, security systems must be even more vigilant about recognizing and responding to account breaches and mis-uses. Recognition, response and mitigation must be built into systems -- and especially automated systems -- so that they will be able to prevent criminal activity from becoming catastrophic for individuals and organizations.

In one sense the war is, indeed, lost. If information is accessible from the Internet, the only safe assumption is that it can be accessed by unauthorized individuals. Intelligent use of automated systems will mean that access doesn't become loss -- and that the vast bait ball of Internet users swims on, undisturbed.

Related posts:

— Curtis Franklin is the editor of SecurityNow.com. Follow him on Twitter @kg4gwa.

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...