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On the dark web, linkedin credentials are being sold for tens of millions of dollars. If we find a leaked database from an organization that most people have never heard of, we… Clearly, Russian customers are installing malicious apps.
Jun 18, 2016 – LinkedIn claims its systems haven’t been compromised, but the passwords seem to have been…. What’s strange about this leak is that the passwords aren’t encrypted at all.
LinkedIn says its databases have not been compromised, but it is auditing its data against recent database dumps, according to its @Support account. If the leaked linkedin credentials are genuine or not, it’s never a bad idea to switch…
When an anonymous Russian hacker released data dumps for sale on the underground black market, the world learned about major data breaches in some of the most prominent social media websites, like LinkedIn, MySpace, Tumblr, linkedin, and VK.com.
Enterprise recon for purple teams
The passwords were uploaded to https://disk.yandex.net in a 270MB text format.
Rick astley – never gonna give you up (video)
(Pastebin.com or Pastie.org are mirrors)
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You will see if your password is on the list by first generating it in SHA-1 format and then looking for it in the txt file.
A python script for converting your password to a sha1 hash is available online, and you can search combo not.txt for your sha1 hash match. To run the above python script, you’ll need a Python interpreter. The following is the python script’s source code.
Python login system part – 1 | how to create simple login
I enjoy looking at dumped passwords and testing them with DigiNinja’s Pipal. Pipal is an excellent analytic application that examines a password dump for trends, such as password lengths and complexities. I’ve always enjoyed numbers, and running passwords through Pipal can teach you a lot.
I quickly updated Pastebin and discovered that Stefan Venken (@StefanVenken) had already analyzed nearly a million and a half LinkedIn passwords with Pipal. Here are a couple of the more intriguing outcomes:
Just lowercase letters were used in 30% of the broken passwords. Although only lowercase letters and numbers made up 45 percent of the passwords. And, based on the data, it appears that almost all of them were in the format of lowercase letters followed by one or more numbers, with the numbers always at the end.
On LinkedIn, people share a lot of personal information. Many people do this while they are searching for a new career or business opportunity. Users list their educational background and work experience, as well as the organizations to which they belong. To Social Engineers, this is a gold mine of knowledge. It seems that, of all the online social media platforms, users will prefer a long, complicated password to protect their LinkedIn account.
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But under the titillating allure of both stories lies a more disturbing reality: it has never been easier for scammers to launch persuasive, targeted phishing and ransom scams on a global scale. Given the massive amount of compromised and stolen personal data now available online, it’s almost likely that we’ll see a slew of new phishing campaigns that use personalized data elements to boost their effectiveness in the near future.
The sextortion scheme that surfaced this month falsely claims to have come from a hacker who hacked your computer and used your camera to film a video of you while you were watching porn while you were watching porn. Until you pay a Bitcoin ransom, the video will be distributed to all of your contacts, according to the message.
The fact that the scam’s salutation contained a password that each user had legitimately used online at some stage frightened people the most. The sextortion scheme that went viral this month, like most phishing attacks, needs only a few recipients to fall prey for the entire scheme to be profitable.