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Hackers Steal Millions In Cash From ATMs, Using Tyupkin Malware
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securityaffairs
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securityaffairs,
User Rank: Ninja
10/8/2014 | 10:55:28 AM
Non only skimmer
Physical security is essential and similar attacks could be successfully conducted is system are not properly defended and run on outdated or not upgraded OS.

banking industry must be aware of the increasing activities of new gangs.
Marilyn Cohodas
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50%
Marilyn Cohodas,
User Rank: Strategist
10/8/2014 | 11:04:47 AM
Re: Non only skimmer
"the attackers only went after machines that did not have security alarms installed."

Talk about making it easy for them...
securityaffairs
50%
50%
securityaffairs,
User Rank: Ninja
10/8/2014 | 2:28:11 PM
Re: Non only skimmer
Exactly!
Dr.T
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50%
Dr.T,
User Rank: Ninja
10/8/2014 | 3:58:20 PM
Re: Non only skimmer
Sure, they just want to finish their work on this and go to next one. They do not really want to spend so much time on one machine. This is like a cheating, trying to hack without so much effort. :--)).
Dr.T
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50%
Dr.T,
User Rank: Ninja
10/8/2014 | 3:56:30 PM
Re: Non only skimmer
Yes, banks know that it is there and their machine is exposed to outside world and available 24/7 so there has to be additional security measures such as cameras.
Dr.T
50%
50%
Dr.T,
User Rank: Ninja
10/8/2014 | 3:54:31 PM
Not in US yet?
I am surprised this is not happening in US yet. Maybe thankfully. :--)). This is another indicator that there is not limit on what you can hack, it can be it can be your computer or mobile device or it can be ATM and POS devices. Attackers have advanced their skills in recent years and they have been using very sophisticated tools. 


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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
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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 ...
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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...
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