Tumblr has suffered a hacking attack that saw cyber criminals make off with the account data of a reported 65.5 million users. The information, which includes email addresses and encrypted passwords, was "from 2013" according to a blog post by the Tumblr team. While the blog post does not state when exactly the attack took place, Troy Hunt, who runs the site Have I Been Pwnd?, claims the data was exfiltrated on 28 February.
The Data Protection Act is the UK law that currently governs how data is looked after by both private and public organisations, including charities. It also lays out the penalties that can be issued by the Information Commissioner’s Office (ICO) if the law is broken. The Data Protection Act 1998, also known as the DPA, regulates the use and protection of personal data. It supersedes the Data Protection Act 1984 and Access to Personal Files Act 1987.
Phishing (pronounced "fishing") attacks occur when a malicious actor (such as a hacker or a spy) convinces a person to hand over information such as bank details, online account login details or other personal information. This type of attack has been around since the mid 1990s and has been growing in both popularity and sophistication ever since. One of the key attributes, no matter what the aim of the attack is or what form it takes, is social engineering.
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Obama AND Romney or Obama + Romney.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used.) For example, search for democrat OR republican to find results that refer to
Democrats and/or Republicans.
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".