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.

Vulnerabilities / Threats

4/29/2019
02:40 PM
50%
50%

Unknown, Unprotected Database Exposes Info on 80 Million US Households

A database with no login required has been found to contain names, addresses, age, and more for over 80 million U.S. households.

An unprotected database with information that could affect up to 65% of US households has been found by researchers Noam Rotem and Ran Locar, and this time the exposed data is focused on the physical, rather than the cyber, world.

The database, which the researchers believe belong to a service of some sort, contains open information on full address, name, age, and date of birth. Coded information on topics like gender and income is also included. The one common factor in all the records? Everyone included in the database appears to be over the age of 40.

Researchers found the database during an internet-mapping project. Concern about the data's availability includes the risk of more accurate spear-phishing campaigns and physical crimes, including theft, physical assault, and intimidation. As of this article, the database is still online because the researchers have not been able to identify the owner for notification.

For more, read here.

 

 

 

 

Join Dark Reading LIVE for two cybersecurity summits at Interop 2019. Learn from the industry's most knowledgeable IT security experts. Check out the Interop agenda here.

Dark Reading's Quick Hits delivers a brief synopsis and summary of the significance of breaking news events. For more information from the original source of the news item, please follow the link provided in this article. View Full Bio

Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
RyanSepe
50%
50%
RyanSepe,
User Rank: Ninja
4/30/2019 | 11:08:13 PM
Re: 40 years
Data is not random or was taken from a specific part of the database. My assumption, that the data is sorted by a certain criteria in the database and that dataset would be age. Just a theory, but otherwise it would be way too coincidental.
RyanSepe
50%
50%
RyanSepe,
User Rank: Ninja
4/30/2019 | 11:02:10 PM
Re: Owner?
They definitely should be able to do so, but many times the demographic information such as data owner and custodian aren't associated. It's definitely best practice to do so and from this you can definitely see why.
RyanSepe
50%
50%
RyanSepe,
User Rank: Ninja
4/30/2019 | 11:00:46 PM
Re: Income
It's amazing how many times single data sets in and of themselves are of no consequence but coupled together that they become valuable.
Dr.T
50%
50%
Dr.T,
User Rank: Ninja
4/30/2019 | 11:27:22 AM
Owner?
As of this article, the database is still online because the researchers have not been able to identify the owner for notification. That is quite strange. So we have the source but not the owner? Are they not able to trace back to account?
Dr.T
50%
50%
Dr.T,
User Rank: Ninja
4/30/2019 | 11:25:28 AM
Re: Income
The surprising piece in my mind is income. That makes sense, all this information in one data set would creat value I would think.
Dr.T
50%
50%
Dr.T,
User Rank: Ninja
4/30/2019 | 11:22:34 AM
40 years
Everyone included in the database appears to be over the age of 40. Interesting. So data gathered is not random obviously.
Dr.T
50%
50%
Dr.T,
User Rank: Ninja
4/30/2019 | 11:20:50 AM
65%?
An unprotected database with information that could affect up to 65% of US households One wonders why there this much information in a database. And what type of database can allow public access without credentials?
Dr.T
50%
50%
Dr.T,
User Rank: Ninja
4/30/2019 | 11:17:04 AM
Is it Microsoft?
I heard this yesterday, is it the one related to Microsoft?
RyanSepe
50%
50%
RyanSepe,
User Rank: Ninja
4/29/2019 | 10:25:55 PM
Income
The surprising piece in my mind is income....all other info you can typically find on a persons facebook page if they embrace social media or through publically accessible mediums.
The Mainframe Is Seeing a Resurgence. Is Security Keeping Pace?
Ray Overby, Co-Founder & President at Key Resources, Inc.,  8/15/2019
GitHub Named in Capital One Breach Lawsuit
Dark Reading Staff 8/14/2019
The Flaw in Vulnerability Management: It's Time to Get Real
Jim Souders, Chief Executive Officer at Adaptiva,  8/15/2019
Register for Dark Reading Newsletters
White Papers
Video
Cartoon Contest
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
The State of IT Operations and Cybersecurity Operations
The State of IT Operations and Cybersecurity Operations
Your enterprise's cyber risk may depend upon the relationship between the IT team and the security team. Heres some insight on what's working and what isn't in the data center.
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2019-15296
PUBLISHED: 2019-08-21
An issue was discovered in Freeware Advanced Audio Decoder 2 (FAAD2) 2.8.8. The faad_resetbits function in libfaad/bits.c is affected by a buffer overflow vulnerability. The number of bits to be read is determined by ld->buffer_size - words*4, cast to uint32. If ld->buffer_size - words*4 is ne...
CVE-2019-15292
PUBLISHED: 2019-08-21
An issue was discovered in the Linux kernel before 5.0.9. There is a use-after-free in atalk_proc_exit, related to net/appletalk/atalk_proc.c, net/appletalk/ddp.c, and net/appletalk/sysctl_net_atalk.c.
CVE-2019-15293
PUBLISHED: 2019-08-21
An issue was discovered in ACDSee Photo Studio Standard 22.1 Build 1159. There is a User Mode Write AV starting at IDE_ACDStd!IEP_ShowPlugInDialog+0x000000000023d060.
CVE-2019-5034
PUBLISHED: 2019-08-20
An exploitable information disclosure vulnerability exists in the Weave Legacy Pairing functionality of Nest Cam IQ Indoor version 4620002. A set of specially crafted weave packets can cause an out of bounds read, resulting in information disclosure. An attacker can send packets to trigger this vuln...
CVE-2019-5035
PUBLISHED: 2019-08-20
An exploitable information disclosure vulnerability exists in the Weave PASE pairing functionality of the Nest Cam IQ Indoor, version 4620002. A set of specially crafted weave packets can brute force a pairing code, resulting in greater Weave access and potentially full device control. An attacker c...