It’s Belichick’s dream: An open QB competition

Bill Belichick has coached the New England Patriots for 20 seasons, and during that time, there has never been a real training camp quarterback battle. Drew Bledsoe had the job going into the 2000 and 2001 seasons. Tom Brady had it after that. 

Technically the position, like all positions on the Patriots, was open. Reality was different. 

Brady is now in Tampa, so don’t blame Belichick if he might enjoy, at least on some level, the concept of a QB derby heading into the season. For once he can say he doesn’t know who the Week 1 starter will be, and everyone has to believe him. 

“We’ll give everyone an opportunity, and see what happens,” Belichick said Friday in his first public comments in months.

It’s the kind of quote Belichick lives to give.

Bill Belichick says the No. 1 quarterback spot is open for the taking now that Tom Brady is no longer in New England. (Kathryn Riley/Getty Images)
Bill Belichick says the No. 1 quarterback spot is open for the taking now that Tom Brady is no longer in New England. (Kathryn Riley/Getty Images)

Cam Newton is the big name, low pay, free agent arrival. He brings a league MVP and a Super Bowl start on his resume from his time in Carolina. If he’s going to seize the job and show that he can turn the clock back to 2015 (or something like it) then the opportunity is in front of him. 

Jarrett Stidham is the second-year man who is said to have impressed the team internally even if his external experience is limited to just four pass attempts as a rookie last year. If he’s going to live up to fan hype/hope that he might be the next Brady (little heralded prospect who will turn into a superstar) then this is his chance.

Meanwhile, Brian Hoyer is the reliable and familiar journeyman, just solid enough that he might be perfect in a preseason that will feature few full-pad practices and no games. 

Whatever is going to happen, will happen. Belichick wasn’t giving his expectations away on Friday. 

“I think that spot is the same as all the other spots on the team,” Belichick said. “We’ve got a long way to go, and we’ll see how things turn out. I can’t control how players perform. That’s up to them.”

So here we go. Belichick is motivated by winning, first and foremost. But as New England enters camp with a roster that doesn’t scream Super Bowl contender, there is the challenge that Belichick gets to prove himself this year by doing more with less. 

Part of that is navigating the new camp process in the run-up to a season that is scheduled to start in early September, but could always change due to the COVID-19 pandemic. Part of it is dealing with diminished talent, including the loss of Brady, a bunch of defensive starters due to free agency and core players, including linebacker Dont’a Hightower, due to coronavirus opt outs. 

“I respect them,” Belichick said of the six Patriots who said they will sit out 2020. “I talked to those guys, and they explained their situations. They had to make the decision that was best for them. I totally respect and support it 100 percent.”

And then part of it has to be trying to figure who the season-opener starter will be at the game’s most important position. Newton is smart enough to know he was never going to be gifted the job. He also is smart enough to know that he’ll have to earn every snap in Foxborough. 

Belichick signed Newton on June 28 to a one-year deal with a base salary of just $1.05 million (there are about $6.5 million in incentives). The Patriots are under no obligation to pay him. If Newton hasn’t recovered from injuries or a shell of his former self, then Stidham or Hoyer will win the job. 

Belichick never cares. Entering a season that isn’t Super Bowl or bust, he’ll likely care even less. Until late June, after all, he was willing to have just Stidham and Hoyer fight for the job. 

Which is one reason he’s glad to have Newton in camp.

Cam Newton was New England's surprise acquisition in June. (Mike McCarn/AP File)
Cam Newton was New England’s surprise acquisition in June. (Mike McCarn/AP File)

“Things worked out,” Belichick said. “We spent quite a bit of time with Cam, and he spent quite a bit of time with us. There was mutual interest. A number of different people and a number of different conversations. We were just trying to see how the fit would be. I know it was very positive on our end, and I’m glad it worked out.”

[Create or join a 2020 Yahoo Fantasy Football League for free today]

Now we see how well it works out. Belichick said differing skills — from Stidham and Hoyer as traditional Brady-like, pro-style QBs, to Newton who is more mobile — won’t be an issue in the evaluation. For him, it’s back to the basics.

“You set up a general structure that you implement,” Belichick said. “Everyone needs to learn certain fundamentals, certain basics. And every player — whether he’s played two years, whether he’s played 20 years — there’s still a basic progression to training camp at that player’s position.

“That’s what we’re going to do,” Belichick said. “That’s where we’re going to start. And that’s, in my opinion, what needs to be done, regardless of who the player is or the position he plays.”

Pretty simple. The job is for whoever takes it, with Bill Belichick, who had presumably seen it all, presiding over a real quarterback competition for the first time in New England.

More from Yahoo Sports:

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Video: Dana White issues stern warning to Dan Hardy, any employee who confronts referee


Dana White at UFC 249 post-fight press conference
Dana White at UFC 249 post-fight press conference

UFC president Dana White addressed the media following Friday’s UFC Vegas 5 weigh-ins. He addressed everything from the whirlwind card changes for Saturday’s event, the potential location for Khabib Nurmagomedov vs. Justin Gaethje, Mike Tyson’s return to boxing, what he thinks will happen with Conor McGregor, and more.

Chief among White’s comments, however, were those directed at Dan Hardy and any other employee that confronts a referee, judge, or other official.

TRENDING > Tony Ferguson talks UFC return, eyes Conor McGregor or Dustin Poirier

(Video courtesy of UFC)

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Virus rocks MLB: Cards-Brewers off; 2 St. Louis positives

NEW YORK (AP) — The coronavirus forced another change in Major League Baseball’s schedule, bringing the league’s total to eight teams affected in the first nine days of the season.

Friday’s game between St. Louis and Milwaukee was postponed after two Cardinals players tested positive for the coronavirus.

The league announced the schedule change hours before the game was to be played. It said the postponement in Milwaukee is ”consistent with protocols to allow enough time for additional testing and contact tracing to be conducted.”

The Cardinals said in a statement that they learned Thursday night about positive tests from samples collected Wednesday. Players and staff have been instructed to isolate in their hotel rooms in Milwaukee, and the club did not leave the hotel Friday for Miller Park.

”The team is currently conducting rapid testing of the entire traveling party, has implemented contact tracing, and will continue to self-isolate,” the team said.

The Brewers and Cardinals plan to resume their schedule Saturday night at Miller Park, pending results from the testing and contact tracing, and make up Friday’s game as part of a doubleheader Sunday.

”We are supportive of Major League Baseball’s decision to postpone today’s game and look forward to playing our home opener as soon as conditions safely allow,” Brewers general manager David Stearns said in a statement. ”The health and safety of our players and employees are, and will continue to be, our top priorities.”

Two other games scheduled for Friday involving the Marlins, Nationals, Blue Jays and Phillies had already been postponed because of an outbreak among Miami players and two positive tests on Philadelphia’s coaching staff.

The Cardinals played in Minnesota on Tuesday and Wednesday before a scheduled day off Thursday. The Twins hosted Cleveland on Thursday night, and the Indians used the same visiting clubhouse as St. Louis.

It’s uncertain if the Indians and Twins will move forward with their scheduled game Friday night. Cleveland planned to hold a team meeting early in the afternoon to discuss the situation.

A week into its virus-shortened season of 60 games in 67 days, Major League Baseball is scrambling to adjust its schedule.

The Marlins haven’t played since Sunday, and Miami’s situation has also led to schedule changes for the New York Yankees and Baltimore Orioles.

Miami learned Friday that another player tested positive, bringing its total to 18 players and two staff members, according to a person familiar with the situation. The person, who spoke to the AP on condition of anonymity because no announcement had been made, said none of the Marlins has shown serious symptoms.

The infected Marlins left Philadelphia in sleeper buses Friday to return to Miami, where they will remain together in quarantine, according to the person. The trip is expected to take about 18 hours.

The rest of the team will spend the weekend in isolation in Philadelphia, where the Marlins have been stranded since their outbreak began. It’s uncertain when or where they will next play.

Officials were concerned that the latest Marlins positive test result came five days after the team was last together, when the Marlins beat Philadelphia.

To help make up all the postponements, MLB and the players’ union agreed Thursday that doubleheaders this season will become a pair of seven-inning games. The league announced the change Friday.

The Brewers have never hosted a doubleheader at Miller Park, which has a retractable roof. The last twinbill in Milwaukee was Sept. 23, 2000, against the Pirates at Milwaukee County Stadium.

AP Sports Writer Steven Wine, Tom Withers and Steve Megargee, and Baseball Writer Ben Walker contributed to this report.

Follow Jake Seiner: https://twitter.com/Jake-Seiner

More AP MLB: https://apnews.com/MLB and https://twitter.com/AP-Sports

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Will Giannis, Bucks pick up where they left off?

The coronavirus pandemic halted the NBA season four months ago, the equivalent of an entire offseason. It is easy to forget where everyone left off, let alone what has changed since we last saw NBA basketball. In order to get you up to speed before the July 30 season re-opening slate at Walt Disney World in Orlando, we will be reviewing and previewing each of the 22 teams scheduled to participate.

[More NBA restart previews: Boston Celtics Brooklyn Nets Dallas Mavericks Denver Nuggets Houston Rockets Indiana Pacers Los Angeles Clippers Los Angeles Lakers Memphis Grizzlies Miami HeatNew Orleans Pelicans Oklahoma City Thunder Orlando Magic Philadelphia 76ers Phoenix Suns Portland Trail Blazers Sacramento Kings San Antonio Spurs Toronto Raptors Utah Jazz Washington Wizards]

Record: 53-12

Place: First in the East

The Milwaukee Bucks were laying waste to the league this season, operating at a 70-win pace for much of the year before Giannis Antetokounmpo missed four games down the stretch due to the birth of his son and an initially scary knee sprain. Antetokounmpo, now healthy, has been the most dominant force on both ends of the floor this season, posting per-36-minute numbers (35-16-7 on 60.8 percent true shooting) the likes of which we have never seen — not even close. He is favored to join Michael Jordan and Hakeem Olajuwon as the only player to win MVP and Defensive Player of the Year in the same year.

One reason Antetokounmpo was not actually playing 36 minutes per game was because the Bucks beat teams so badly that he was often not needed. He and Brook Lopez anchored a defense that protects the rim at all costs and rates as the NBA’s best outfit by a margin equal to the distance between the second- and eighth-best teams. Antetokounmpo also owned the rim on offense, shooting 72.9 percent on 10.4 attempts per game inside the restricted area, a gravitational pull that opens the rest of the floor for a host of shooting threats perfectly suited to complement a freakishly athletic 6-foot-11 position-less playmaker.

Who’s in and who’s out?

Out: Eric Bledsoe (COVID-19), Pat Connaughton (COVID-19)

An invaluable member of the Bucks, even if his postseason play may have led to their playoff exits in each of the past two seasons, Bledsoe tested positive for the coronavirus prior to his team’s arrival in Orlando. He arrived Wednesday to Walt Disney World, where he will have to register two negative COVID-19 tests over two days of quarantine before rejoining his teammates. He is expected to be available for the playoffs. Connaughton plans to follow the same protocol once he is cleared to play.

Over/under wins in the bubble: N/A

NBA Finals odds: -176

Championship odds: +280

Giannis Antetokounmpo has been the league's most dominant player on both ends of the floor this season. (Michael Reaves/Getty Images)
Giannis Antetokounmpo has been the league’s most dominant player on both ends of the floor this season. (Michael Reaves/Getty Images)

X-factor

It has to be Bledsoe. A borderline All-Star each of the past two seasons, capable of secondary playmaking for himself and others on offense and an All-Defensive-level talent on the other end, he has often appeared overwhelmed by the moment in the playoffs. His relatively efficient scoring marks during the regular season have dipped to detrimental levels in each of the past two postseasons (combined 42/26/70 shooting splits), and he often played himself off the floor in favor of Malcom Brogdon.

Bledsoe’s performance during the regular season has largely masked the loss of Brogdon in restricted free agency, as has the efficiency of George Hill in a limited capacity, but there is still reason to believe not matching the former Rookie of the Year’s salary could come back to bite Milwaukee in the playoffs. Because Khris Middleton is not a secondary star on the level of others on title favorites in the Western Conference, the Bucks have relied on their depth of high-end talent — namely Bledsoe and Lopez — to separate themselves from the pack among contenders. That continues only if they collectively perform.

Remaining schedule

(All times Eastern)

July 31: Boston Celtics, 6:30 p.m. (ESPN)

Aug. 2: Houston Rockets, 8:30 p.m. (ABC)

Aug. 4: Brooklyn Nets, 1:30 p.m. (NBATV)

Aug. 6: Miami Heat, 4 p.m. (TNT)

Aug. 8: Dallas Mavericks, 8:30 p.m. (ESPN)

Aug. 10: Toronto Raptors, 6:30 p.m. (ESPN)

Aug. 11: Washington Wizards, 9 p.m.

Aug. 13: Memphis Grizzlies, TBD

Best-case scenario

Obviously, the Bucks are a championship-caliber team. Falling short this season would open the conversation about Antetokounmpo’s ability to win a championship to more scrutiny. It is the natural progression of an all-time talent (see: James, LeBron; Jordan, Michael). Of the nine teams in NBA history that have outscored opponents by double digits per 100 possessions, only the 73-win 2015-16 Golden State Warriors failed to win the title, and they blew a 3-1 Finals lead in embarrassing fashion to one of the greatest players of all time. The Bucks are outscoring opponents by 10.7 points per 100 possessions.

Milwaukee’s playoff losses to the Boston Celtics in 2018 and the Toronto Raptors last season began that conversation, as both teams walled off the interior against Antetokounmpo, daring the rest of the Bucks to beat them. A handful of teams across both conferences boast the personnel to operate a similar scheme this season, beginning with potential second-round matchups against the Philadelphia 76ers or Miami Heat. Then again, the Bucks have outscored opponents by 4.1 points per 100 possessions with Antetokounmpo off the floor this season, a mark better than the full contingent of either the Sixers or Heat this season, all evidence that this year’s supporting cast is better equipped to support its superstar.

Yahoo Sports NBA prediction

Record: 59-14

Place: First in the East

Finish: NBA Finals loss

More from our NBA restart series:

– – – – – – –

Ben Rohrbach is a staff writer for Yahoo Sports. Have a tip? Email him at [email protected] or follow him on Twitter!Follow @brohrbach

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How to Use Leaked Password Databases to Create Brute-Force Wordlists

To name just a few companies, VK, µTorrent, and ClixSense all suffered significant data breaches at some point in the past. The leaked password databases from those and other online sites can be used to understand better how human-passwords are created and increase a hacker’s success when performing brute-force attacks.

In other articles, we’ll cover generating wordlists for use in password-cracking. But here, we’ll learn how to create wordlists of statistical complexity and length based on actual passwords found in database leaks that occurred in recent years. Understanding how average, every-day people think about passwords will aid hackers during password-guessing attacks and greatly increase the statical probability of the success of the brute-force attacks.

Disclaimer

The leaked databases featured in this article were obtained using public and darknet resources. The databases are all at least four years old. This was intentional and would ensure that this article would harm no victim of these leaks as they’ve had an opportunity to reset their passwords. Also, passwords used in 2016 would still provide excellent datasets for understanding how people create passwords today.

What Makes a Good Password List?

Realistically, it’s not possible to brute-force an SSH service or web login with a list of five million passwords. An attack like that would set off all kinds of alarms and take an incomprehensible amount of time to complete.

Some may believe that massive, comprehensive, 100 GB wordlists are common and often utilized by hackers. However, we’ll learn that small targeted and fine-tuned wordlists will usually get the job done while avoiding detection. The quality (or commonness) of the passwords takes priority over the length of the wordlist.

What Is Pipal?

Pipal, created by Digininja, a well-known hacker in cybersecurity circles, is a password analyzer which curates password list statistics. Pipal is capable of identifying the most common digits appended to passwords, the most common length of passwords, the most common passwords found in the databases, and much more.

This data is valuable to hackers looking to improve the strength of their wordlists and increase the likeliness of success when performing brute-force attacks. Below is an example of Pipal’s output (the top 35 passwords) after analyzing the µTorrent hack, which consisted of nearly 400,000 passwords.

123456 = 386 (0.11%)
forum123 = 152 (0.04%)
password = 116 (0.03%)
utorrent = 94 (0.03%)
qwerty = 71 (0.02%)
12345678 = 57 (0.02%)
123456789 = 57 (0.02%)
111111 = 46 (0.01%)
123123 = 37 (0.01%)
Mykey2012 = 35 (0.01%)
abc123 = 30 (0.01%)
000000 = 27 (0.01%)
trustno1 = 26 (0.01%)
letmein = 26 (0.01%)
torrent = 24 (0.01%)
qazwsx = 24 (0.01%)
Mykey2011 = 23 (0.01%)
1234 = 21 (0.01%)
666666 = 20 (0.01%)
shadow = 19 (0.01%)
12345 = 19 (0.01%)
1234567 = 19 (0.01%)
1q2w3e4r = 19 (0.01%)
dragon = 18 (0.0%)
fuckyou = 18 (0.0%)
Paperindex1* = 18 (0.0%)
abcd1234 = 16 (0.0%)
matrix = 15 (0.0%)
123321 = 15 (0.0%)
1234567890 = 15 (0.0%)
master = 14 (0.0%)
monkey = 14 (0.0%)
123qwe = 14 (0.0%)
jackass = 13 (0.0%)
killer = 13 (0.0%)

Continue below the Cyber Weapons Lab video to see how to install and use Pipal, enable modules, and analyze password lists. You could also watch the Null Byte video and follow along with my guide simultaneously, if that helps.

Step 1: Install or Update Ruby & Git

Ruby version 2.5 or later is required to use Pipal. If you think you have Ruby already, you can see which version you have with ruby -v.

~$ ruby -v ruby 2.4.8 (2019-10-01 revision 026ee6f091) [x86_64-linux-gnu]

If you don’t have it or it’s outdated, you’ll need to install or update it. You’ll also need Git, which is required to clone the GitHub repository. The below command can be used to install or update both.

~$ sudo apt install ruby2.7 git [sudo] password for null byte:
Reading package lists... Done
Building dependency tree
Reading state information... Done
The following additional packages will be installed: git-man
Suggested packages: git-daemon-run | git-daemon-sysvinit git-doc git-el git-email git-gui gitk gitweb git-cvs git-mediawiki git-svn
The following packages will be upgraded: git git-man ruby2.7
3 upgraded, 0 newly installed, 0 to remove and 853 not upgraded.
Need to get 9,151 kB of archives.
After this operation, 2,443 kB of additional disk space will be used.
Do you want to continue? [Y/n] y
Get:1 http://kali.download/kali kali-rolling/main amd64 git amd64 1:2.27.0-1 [6,707 kB]
Get:2 http://kali.download/kali kali-rolling/main amd64 git-man all 1:2.27.0-1 [1,774 kB]
Get:3 http://kali.download/kali kali-rolling/main amd64 ruby2.7 amd64 2.7.1-3 [670 kB]
Fetched 9,151 kB in 2s (5,301 kB/s)
Reading changelogs... Done
(Reading database ... 377124 files and directories currently installed.)
Preparing to unpack .../git_1%3a2.27.0-1_amd64.deb ...
Unpacking git (1:2.27.0-1) over (1:2.26.2-1) ...
Preparing to unpack .../git-man_1%3a2.27.0-1_all.deb ...
Unpacking git-man (1:2.27.0-1) over (1:2.26.2-1) ...
Preparing to unpack .../ruby2.7_2.7.1-3_amd64.deb ...
Unpacking ruby2.7 (2.7.1-3) over (2.7.0-4) ...
Setting up ruby2.7 (2.7.1-3) ...
Setting up git-man (1:2.27.0-1) ...
Setting up git (1:2.27.0-1) ...
Processing triggers for man-db (2.9.1-1) ...
Processing triggers for kali-menu (2020.2.2) ...

Step 2: Install Pipal

Pipal can be found in Kali, but it’s a slightly older version which doesn’t support all of the available features and should be removed to avoid any confusion.

~$ sudo apt autoremove pipal Reading package lists... Done
Building dependency tree
Reading state information... Done
The following packages will be REMOVED: kali-linux-default pipal
0 upgraded, 0 newly installed, 2 to remove and 856 not upgraded.
After this operation, 198 kB disk space will be freed.
Do you want to continue? [Y/n] y
(Reading database ... 377177 files and directories currently installed.)
Removing kali-linux-default (2020.1.13) ...
Removing pipal (3.1-0kali0) ...
Processing triggers for kali-menu (2020.2.2) ...

Next, clone the Pipal GitHub repository.

~$ git clone https://github.com/digininja/pipal.git Cloning into 'pipal'...
remote: Enumerating objects: 4, done.
remote: Counting objects: 100% (4/4), done.
remote: Compressing objects: 100% (4/4), done.
remote: Total 582 (delta 0), reused 1 (delta 0), pack-reused 578
Receiving objects: 100% (582/582), 158.46 KiB | 1.82 MiB/s, done.
Resolving deltas: 100% (349/349), done.

Use the cd command to change into the newly created Pipal directory.

~$ cd pipal

When using Pipal, be sure to use Ruby 2.5 or later, which you should have installed or updated in Step 1. To view the available Pipal options, use the –help argument.

~/pipal$ ruby2.7 pipal.rb --help pipal 3.1 Robin Wood ([email protected]) (http://digi.ninja) Usage: pipal [OPTION] ... FILENAME --help, -h, -?: show help --top, -t X: show the top X results (default 10) --output, -o <filename>: output to file --gkey <Google Maps API key>: to allow zip code lookups (optional) --list-checkers: Show the available checkers and which are enabled --verbose, -v: Verbose FILENAME: The file to count

Step 3: Enable Pipal Checker Modules (Optional)

Checkers are the modules that perform the actual analysis. The available modules can be found in the pipal/checkers_available directory.

~/pipal$ ls checkers_available AU_place_checker.rb FR_colour_checker.rb
basic.rb FR_date_checker.rb
BR_area_codes_checker.rb FR_emotion_checker.rb
BR_soccer_teams_checker.rb frequency.rb
date_checker.rb FR_family_checker.rb
DE_colour_checker.rb FR_hashcat_mask_generator.rb
DE_emotion_checker.rb FR_season_checker.rb
DE_family_checker.rb FR_windows_complexity_checker.rb
DE_religion_checker.rb hashcat_mask_generator.rb
DE_road_checker.rb NL_colour_checker.rb
DE_season_checker.rb NL_date_checker.rb
DE_sport_checker.rb NL_season_checker.rb
DE_vehicle_checker.rb PTBR_colour_checker.rb
email_names.rb PTBR_date_checker.rb
EN_colour_checker.rb PTBR_emotion_checker.rb
EN_emotion_checker.rb PTBR_explicit_checker.rb
EN_explicit_checker.rb PTBR_family_checker.rb
EN_family_checker.rb PTBR_religion_checker.rb
EN_military_checker.rb PTBR_season_checker.rb
EN_religion_checker.rb RU_russia_cities_checker.rb
EN_road_checker.rb special_checker.rb
EN_season_checker.rb US_area_codes_checker.rb
EN_sport_checker.rb usernames.rb
EN_vehicle_checker.rb US_state_checker.rb
EN_violence_checker.rb US_zip_codes_checker.rb
external_list_checker.rb windows_complexity_checker.rb
FR_area_codes.rb

Alternatively, the modules can be viewed using the –list-checkers command. If you get any errors after running this command, it’s likely that something is missing or not fully updated in your Ruby version, but it should show you the gem command to install it.

~/pipal$ ruby2.7 pipal.rb --list-checkers Error: levenshtein gem not installed use: "gem install levenshtein-ffi" to install the required gem ~/pipal$ sudo gem install levenshtein-ffi [sudo] password for nullbyte:
Fetching levenshtein-ffi-1.1.0.gem
Building native extensions. This could take a while...
Successfully installed levenshtein-ffi-1.1.0
Parsing documentation for levenshtein-ffi-1.1.0
Installing ri documentation for levenshtein-ffi-1.1.0
Done installing documentation for levenshtein-ffi after 0 seconds
1 gem installed ~/pipal$ ruby2.7 pipal.rb --list-checkers /home/nullbyte/pipal/checkers_available/FR_colour_checker.rb:11: warning: key "ocre" is duplicated and overwritten on line 11
pipal 3.1 Robin Wood ([email protected]) (http://digi.ninja) You have the following Checkers on your system
==============================================
Australia_Checker - List of Australian places
BR_Area_Code_Checker - List of Brazil area codes
BR_Soccer_Teams_Checker - List of Brazilian Soccer Teams
Basic_Checker - Basic Checks - Enabled
Colour_Checker - List of common English colours
DE_Colour_Checker - List of common German colours
DE_Emotion_Checker - List of German emotional terms
DE_Family_Checker - List of German family terms
DE_Religion_Checker - List of German religious terms
DE_Road_Checker - List of German road terms
DE_Season_Checker - List of common German seasons
DE_Sport_Checker - List of German sport terms
DE_Vehicle_Checker - List of common vehicle manufacturers and models
Date_Checker - Days, months and years
Email_Checker - Compare email addresses to passwords. Checks both name and full address.
Emotion_Checker - List of English emotional terms
Explicit_Checker - List of English explicit terms
External_List_Checker - Check an external file for matches
FR_Colour_Checker - List of common French colours
FR_Date_Checker - French day, month and year checker
FR_Emotion_Checker - List of French emotional terms
FR_Family_Checker - List of French family terms
FR_Hashcat_Mask_Generator - Hashcat mask generator (French)
FR_Season_Checker - List of common French seasons
FR_Windows_Complexity_Checker - Check for default Windows complexity (French)
FR_area_Code_Checker - List of French area codes
Family_Checker - List of English family terms
Frequency_Checker - Count the frequency of characters in each position, output as either CSV or text
Hashcat_Mask_Generator - Hashcat mask generator
Military_Checker - List of English military terms
NL_Colour_Checker - List of common dutch colours
NL_Date_Checker - Dutch day, month and year checker
NL_Season_Checker - List of common Dutch seasons
PTBR_Date_Checker - Brazilian Portuguese day, month and year checker
PTBR_Emotion_Checker - List of Brazilian Portuguese emotional terms
PTBR_Explicit_Checker - List of Brazilian Portuguese explicit terms
PTBR_Family_Checker - List of Brazilian Portuguese family terms
PTBR_Religion_Checker - List of Brazilian Portuguese religious terms
PTBR_Season_Checker - List of common Brazilian Portuguese seasons
Religion_Checker - List of religious terms
Road_Checker - List of English road terms
Russian_Cities_Checker - List of common Russian cities
Season_Checker - List of common English seasons
Special_Checker - No description given
Sport_Checker - List of English sport terms
US_Area_Code_Checker - List of US area codes
US_State_Checker - List of United States states
US_Zip_Code_Checker - List of US zip codes
Username_Checker - Compare usernames to passwords.
Vehicle_Checker - List of common vehicle manufacturers and models
Violence_Checker - List of English violent terms
Windows_Complexity_Checker - Check for default Windows complexity

By default, Pipal will analyze password lists and display tons of useful information using the basic.rb (Basic_Checker) module. However, to enhance Pipal’s analysis capabilities, copy the desired modules from pipal/checkers_available directory to the pipal/checkers_enabled directory.

I recommend enabling the modules that start with “EN_,” which will enumerate the most popular religious terms, explicit terms, colors, vehicles, and more. Keep in mind, using many modules will increase the duration of the analysis. In some cases, where large (1 GB) wordlists were analyzed, Pipal would crash and fail to complete the analysis.

To symbolically link a single module to the pipal/checkers_enabled directory, use the below command, replacing the .rb file with the one you want to use.

/pipal$ ln -s checkers_available/EN_emotion_checker.rb checkers_enabled

To symlink all of the “EN_” modules, use the below command. The wildcard (*) tells the ln command to symbolically link any file starting with “EN_” to the pipal/checkers_enabled directory.

/pipal$ ln -s checkers_available/EN_* checkers_enabled

Step 4: Analyze Password Lists

Looking back at the available options again, there are two primary arguments which are always used.

~/pipal$ ruby2.7 pipal.rb --help pipal 3.1 Robin Wood ([email protected]) (http://digi.ninja) Usage: pipal [OPTION] ... FILENAME --help, -h, -?: show help --top, -t X: show the top X results (default 10) --output, -o <filename>: output to file --gkey <Google Maps API key>: to allow zip code lookups (optional) --list-checkers: Show the available checkers and which are enabled --verbose, -v: Verbose FILENAME: The file to count

By default, Pipal will only display the top 10 most common statistics. This default value is a bit low, so the –top argument should be used to increase that value. In all my below password analyses, the top 500 passwords were displayed. The –output argument is used to specify the file path and directory where the analyzed data is saved.

Using Pipal is very simple. Type the below command into a terminal to start analyzing password lists. Both files are text files, but you could use “txt” if you wanted, and both of their names can be customized too. I’m using “results.pipal” and “password.list” variations in my “dumps” folder in my home directory.

~/pipal$ ruby2.7 pipal.rb --top 500 --output ../dumps/results.pipal ../dumps/password.list Generating stats, hit CTRL-C to finish early and dump stats on words already processed.
Please wait...
Processing: 100$ |oooooooooooooooooooooooooooo | ETA 00:00:00

Wordlists that contain millions of passwords can take several minutes (up to an hour) for Pipal to analyze thoroughly. Complete details of all the Pipal analyses featured in this article can be found on my GitHub.

Example 1: 000webhost.com Password Analysis

000webhost is a free web hosting service that caters to millions of users worldwide. The 000webhost.com hack occurred in 2015, making this database about five years old. However, it offered a large dataset of over 13 million passwords, so it seemed appropriate to include it in this article.

~/pipal$ ruby2.7 pipal.rb --top 500 --output ../dumps/analysis/000webhost.com.pipal ../dumps/000webhost.com_2015_password.list Generating stats, hit CTRL-C to finish early and dump stats on words already processed.
Please wait...
Processing: 100% |oooooooooooooooooooooooooooo | ETA 00:00:00

After analyzing the 000webhost password list, here’s what I found:

Password Length

Most passwords were only eight-characters long, accounting for 34% of all the unique passwords found in the password wordlist. Roughly 20% of passwords were only seven or six characters long — which is astonishingly low.

8 = 67313 (34.58%)
6 = 33392 (17.15%)
9 = 29588 (15.2%)
7 = 24916 (12.8%)
10 = 23994 (12.33%)

This information is valuable to hackers as it indicates that most wordlists designed for remote brute-force attacks only need to be six to eight characters long to cover roughly 50% of all password lengths. A patient hacker would include nine- and ten-character passwords to get closer to 90% effectiveness, but that may not be required in most cases.

Appended Digits

It’s not uncommon for people to add a number or two to the end of their passwords, e.g., password123. Over 25% of all passwords were found to have one or two digits appended to the password. Two-digit numbers were the most common with 16 percent.

Single digit on the end = 22,230 (11.42%)
Two digits on the end = 31,214 (16.03%)
Three digits on the end = 18,447 (9.48%)

The most common single digit appended to a password was the number “1,” being used 24,214 times and accounting for over 12% of all passwords. It was followed closely by the number “3,” appended 16,362 times or nearly one out of every 11 passwords.

1 = 24,214 (12.44%)
3 = 16,362 (8.41%)
2 = 11,650 (5.98%)
0 = 9,687 (4.98%)
4 = 8,671 (4.45%)

The most common two digits appended to a password was the number “23;” appended 9,054 times, only four percent.

23 = 9,054 (4.65%)
12 = 3,822 (1.96%)
01 = 3,629 (1.86%)
11 = 3,089 (1.59%)
00 = 2,791 (1.43%)

The most common three digits appended to a password was the number “123;” again, just over four percent.

123 = 7,938 (4.08%)
456 = 2,143 (1.1%)
234 = 1,644 (0.84%)
000 = 935 (0.48%)
007 = 635 (0.33%)

The numbers 1, 3, 2, 23, 12, 123, and 456 were appended to over 33% (75,000+) of all passwords. It almost doesn’t make sense to include other appendages in brute-force wordlists. Statistically speaking, other numbers appear too infrequently to warrant inclusion.

Special Characters

With the “@” special character only being included in 0.8% of all passwords, it’s safe to omit passwords containing special characters (or “1337 Speak”) from brute-force wordlists. A patient hacker who wishes to create a comprehensive wordlist may consider including some of the top three special characters. Adversely, someone hoping to protect their account from brute-force attacks may want to include a special character in their (probably weak) password.

@ = 1,614 (0.83%)
. = 881 (0.45%)
# = 780 (0.4%)

Top 25 Passwords

Anyone familiar with password lists won’t be surprised to see “123456” is the most common password having been used to secure 783 different accounts. “Abcdef123” and “a123456” follow closely behind with both used over 500 times each.

123456 = 783 (0.4%)
Abcdef123 = 608 (0.31%)
a123456 = 580 (0.3%)
little123 = 468 (0.24%)
nanda334 = 391 (0.2%)
N97nokia = 367 (0.19%)
password = 315 (0.16%)
Pawerjon123 = 275 (0.14%)
421uiopy258 = 230 (0.12%)
MYworklist123 = 182 (0.09%)
12345678 = 175 (0.09%)
qwerty = 169 (0.09%)
nks230kjs82 = 152 (0.08%)
trustno1 = 150 (0.08%)
zxcvbnm = 138 (0.07%)
N97nokiamini = 132 (0.07%)
letmein = 131 (0.07%)
123456789 = 131 (0.07%)
myplex = 110 (0.06%)
[email protected] = 109 (0.06%)
churu123A = 107 (0.05%)
abc123 = 105 (0.05%)
plex123 = 95 (0.05%)
any123456 = 94 (0.05%)
Lwf1681688 = 92 (0.05%)

It’s not unusual to see strange or bizarre passwords ranked highly in database lists. The password “nanda123” and “N97nokia,” for example. These passwords were used over 350 times each. It’s unclear how this happened, most likely a small group of individuals (probably hackers) created multiple accounts over a long period of time and reused the same password over and over. When generating wordlists, it’s really up to the hacker to determine whether or not to include a particular password in the wordlist.

Top 25 Base Words

Here’s where I think Pipal really shines. It’s able to omit the numbers appended to the ends of passwords and analyze the words used at the beginning of the passwords. This data is especially useful to hackers because they’re then able to use the base words in conjunction with the most commonly used digits to create comprehensive wordlists. For example, take note of “welcome” ranked 24th in the below list.

password = 735 (0.38%)
abcdef = 699 (0.36%)
plex = 546 (0.28%)
qwerty = 505 (0.26%)
little = 481 (0.25%)
nanda = 401 (0.21%)
n97nokia = 367 (0.19%)
pawerjon = 275 (0.14%)
letmein = 252 (0.13%)
uiopy = 230 (0.12%)
trustno = 200 (0.1%)
abcd = 189 (0.1%)
passw0rd = 186 (0.1%)
monkey = 184 (0.09%)
myworklist = 182 (0.09%)
master = 171 (0.09%)
pass = 166 (0.09%)
asdf = 164 (0.08%)
gondola = 164 (0.08%)
dragon = 156 (0.08%)
zxcvbnm = 154 (0.08%)
nks230kjs = 152 (0.08%)
hello = 148 (0.08%)
welcome = 141 (0.07%)
n97nokiamini = 133 (0.07%)

If the most common single or double digits (“1” and “23”) are appended to “welcome,” we find that this password was used several dozen times.

~/pipal$ grep -i 'welcome1' ../dumps/000webhost.com_2015_password.list welcome1
welcome1
welcome11
welcome123
welcome1
welcome123
welcome123
welcome1
welcome1
welcome123
welcome1
welcome1234
welcome123
welcome1
welcome1
welcome1

This is why appending common digits to base words is more beneficial to wordlists than simply compiling a list of the top passwords. How we, as individuals, choose base words and choose digits to append is the one notable inconsistency with how people create passwords. It’s better to isolate the two variables then combine the results in a new wordlist.

Example 2: VK.com Password Analysis

VK, a social network heavily inspired by Facebook, is the most popular website in Russia and ranked in the top 20 most popular websites in the world. The social network reportedly has over 300 million registered users.

The VK.com hack emerged in 2016, but occurred in 2012. While the passwords found in this data breach are nearly six years old, I couldn’t miss the opportunity to analyze a massive dataset of over 92,470,000 passwords.

~/pipal$ ruby2.7 pipal.rb --top 500 --output ../dumps/analysis/vk.com.pipal ../dumps/vk.com_2012_password.list Generating stats, hit CTRL-C to finish early and dump stats on words already processed.
Please wait...
Processing: 100% |oooooooooooooooooooooooooooo | ETA 00:00:00

After analyzing the VK.com password list, here’s what I found:

Password Length

More than 50% of all passwords are between six and eight characters long. This is consistent with data found in the 000webhost dataset and reaffirms most wordlists don’t need to contain passwords over nine or ten characters long.

6 = 17,665,381 (19.1%)
8 = 17,370,491 (18.78%)
7 = 12,391,947 (13.4%)
9 = 9,815,371 (10.61%)
10 = 7,686,762 (8.31%)

Appended Digits

Fewer passwords appeared with appended digits compared to the 000webhost data, accounting for roughly 12 percent.

Single digit on end = 3,023,338 (3.27%)
Two digits on end = 5,326,255 (5.76%)
Three digits on end = 3,412,773 (3.69%)

The most common single and double digits are again “1,” “3,” and “23,” accounting for about 9% (12,600,000) of all passwords.

1 = 5,919,242 (6.4%)
3 = 5,221,786 (5.65%)
0 = 5,079,464 (5.49%)
6 = 4,854,551 (5.25%)
23 = 1,474,608 (1.59%)
11 = 1,398,248 (1.51%)
89 = 1,337,274 (1.45%)
56 = 1,266,445 (1.37%)
123 = 1,135,684 (1.23%)
456 = 1,003,088 (1.08%)
789 = 638,695 (0.69%)
777 = 584,292 (0.63%)

Top 25 Passwords

We can clearly see fewer passwords appeared with appended digits compared to the 000webhost data, and more passwords containing only numbers are popular among users in this dataset.

123456 = 653,959
123456789 = 383,177
qwerty = 263,565
111111 = 176,226
1234567890 = 144,494
1234567 = 131,279
12345678 = 99,885
123321 = 87,148
000000 = 85,468
123123 = 84,036
7777777 = 81,544
zxcvbnm = 79,199
666666 = 72,052
qwertyuiop = 69,178
123qwe = 62,680
555555 = 61,762
1q2w3e = 57,425
gfhjkm = 51,310
qazwsx = 50,686
1q2w3e4r = 49,676
654321 = 48,435
987654321 = 46,461
121212 = 41,896
777777 = 39,966
zxcvbn = 39,527

Unfortunately, Pipal is restrained by our computer’s memory (RAM) and struggled to analyze VK.com’s 92,000,000 password dataset. Pipal wasn’t able to determine the percentages of each password found or the top base words or passwords with special characters, but we were able to figure out the number of times each password appeared. Special thanks to @digininja for working with me to analyze this dataset.

Example 3: ClixSense.com Password Analysis

ClixSense is a “paid-to-click” website that compensates people (microtransactions) for taking part in surveys and viewing advertisements. (It is also banned on Null Byte, in case you had any ideas in the forum.)

The ClixSense hacked data was posted online, in 2016, by the attackers who claimed it was a subset of a larger 6.6 million dataset. There are 2.2 million passwords in my ClixSense password list. While it’s not the complete ClixSense list, it still provides an adequately large dataset belonging to a very recent hack.

~/pipal$ ruby2.7 pipal.rb --top 500 --output ../dumps/analysis/clixsense.com.pipal ../dumps/clixsense.com_2016_password.list Generating stats, hit CTRL-C to finish early and dump stats on words already processed.
Please wait...
Processing: 100% |oooooooooooooooooooooooooooo | ETA 00:00:00

After analyzing the ClixSense.com password list, here’s what I found:

Password Length

Passwords consisting of nine or fewer characters are (again) the most common length of password found in large leaks. This further confirms the fact that short, eight- and six-character passwords, should be used when designing wordlists for brute-force attacks.

8 = 526,916 (23.72%)
6 = 407,346 (18.33%)
9 = 314,908 (14.17%)
10 = 286,220 (12.88%)
7 = 285,726 (12.86%)

Appended Digits

The one-digit, two-digit, and three-digit combinations most commonly appended to passwords are very consistent with the 000webhost.com dataset.

Single digit on the end = 121,811 (5.48%)
Two digits on the end = 239,247 (10.77%)
Three digits on the end = 151,586 (6.82%)
1 = 177,622 (7.99%)
3 = 159,989 (7.2%)
0 = 119,043 (5.36%)
2 = 118,338 (5.33%)
23 = 71,414 (3.21%)
56 = 31,159 (1.4%)
12 = 30,915 (1.39%)
11 = 30,248 (1.36%)
123 = 58,898 (2.65%)
456 = 25,874 (1.16%)
234 = 11,166 (0.5%)
007 = 10,573 (0.48%)

Special Characters

Once again, the “@” and “.” special characters were found in over 1% of passwords. This is too small of a percent to warrant including special characters in wordlists, but again, using special characters in passwords will significantly hinder an attacker’s ability to brute-force a service.

@ = 31,778 (1.43%)
. = 16,108 (0.73%)
_ = 14,711 (0.66%)
! = 11,248 (0.51%)

Top 25 Passwords

The password “123456” once again takes the lead being used 17,879 times. And again we see a unique password, “bismillah,” used over 1,000 times (see the “base words” list after this list). It’s not uncommon to see cultural or religious terms in datasets where the hacked website is popular in a particular country.

123456 = 17,879 (0.8%)
123456789 = 3,292 (0.15%)
12345678 = 2,093 (0.09%)
password = 1,970 (0.09%)
111111 = 1,892 (0.09%)
1234567 = 1,300 (0.06%)
iloveyou = 1,266 (0.06%)
qwerty = 1,187 (0.05%)
clixsense = 1,173 (0.05%)
000000 = 977 (0.04%)
abcdefg = 972 (0.04%)
123123 = 923 (0.04%)
pakistan = 803 (0.04%)
654321 = 745 (0.03%)
users = 736 (0.03%)
bismillah = 644 (0.03%)
abc123 = 615 (0.03%)
1234567890 = 537 (0.02%)
666666 = 525 (0.02%)
asdfgh = 524 (0.02%)
computer = 516 (0.02%)
aaaaaa = 502 (0.02%)
secret = 392 (0.02%)
iloveu = 391 (0.02%)
krishna = 391 (0.02%)

Top 25 Base Words

A closer look at the top 25 base words reveals some great results. With the exception of website-specific passwords (“clixsense” and “clix”), hackers would incorporate most of these words into their wordlists and experience some success with brute-force attacks.

password = 3,937 (0.18%)
clixsense = 2,989 (0.13%)
qwerty = 2,798 (0.13%)
iloveyou = 2,101 (0.09%)
pakistan = 1,965 (0.09%)
clix = 1,285 (0.06%)
money = 1,271 (0.06%)
love = 1,244 (0.06%)
june = 1,208 (0.05%)
abcdefg = 1,117 (0.05%)
bismillah = 1,026 (0.05%)
april = 1,006 (0.05%)
welcome = 990 (0.04%)
july = 984 (0.04%)
jesus = 950 (0.04%)
abcd = 936 (0.04%)
master = 916 (0.04%)
angel = 899 (0.04%)
nokia = 896 (0.04%)
computer = 882 (0.04%)
krishna = 822 (0.04%)
march = 810 (0.04%)
august = 803 (0.04%)
daniel = 777 (0.03%)
secret = 766 (0.03%)

Example 4: µTorrent.com Password Analysis

µTorrent is a popular peer-to-peer file sharing client, managed by BitTorrent.com. The µTorrent forum hack occurred in 2016 and consisted of almost 400,000 leaked passwords. This dataset is the smallest featured in this article, but still provides insight into how passwords are created today.

~/pipal$ ruby2.7 pipal.rb --top 500 --output ../dumps/analysis/utorrent.com.pipal ../dumps/utorrent.com_2016_password.list Generating stats, hit CTRL-C to finish early and dump stats on words already processed.
Please wait...
Processing: 100% |oooooooooooooooooooooooooooo | ETA 00:00:00

Password Length

A jarring 88% of passwords are eight characters long. This is an increase from other datasets in this article. Still, only 3% of passwords are nine or ten characters long and well within brute-forcing range.

8 = 323,102 (88.66%)
6 = 11,314 (3.1%)
9 = 8,108 (2.22%)
7 = 7,962 (2.18%)
10 = 6,058 (1.66%)

Appended Digits

A single digit was most commonly appended to a password. We just learned most passwords are a total of eight characters long, so this indicates that most base words are only seven letters long and likely included a “1” or “3” at the end of the password.

Single digit on the end = 45,852 (12.58%)
Two digits on the end = 13,569 (3.72%)
Three digits on the end = 4,923 (1.35%)
1 = 10,475 (2.87%)
3 = 8,904 (2.44%)
2 = 8,123 (2.23%)
0 = 7,925 (2.17%)
23 = 1,737 (0.48%)
11 = 978 (0.27%)
12 = 894 (0.25%)
00 = 837 (0.23%)
123 = 1,365 (0.37%)
456 = 521 (0.14%)
234 = 307 (0.08%)
000 = 252 (0.07%)

Special Characters

The top three most popular special characters were used in just over 0.5% of all passwords. Again, too small of a percent to warrant including special characters in wordlists, but really good to use when you want to hinder an attacker’s ability to brute-force a service.

/ = 833 (0.23%)
+ = 805 (0.22%)
@ = 627 (0.17%)

Top 25 Passwords

Once again, we see “utorrent,” a website-specific password appearing in the top four passwords.

123456 = 386 (0.11%)
forum123 = 152 (0.04%)
password = 116 (0.03%)
utorrent = 94 (0.03%)
qwerty = 71 (0.02%)
12345678 = 57 (0.02%)
123456789 = 57 (0.02%)
111111 = 46 (0.01%)
123123 = 37 (0.01%)
Mykey2012 = 35 (0.01%)
abc123 = 30 (0.01%)
000000 = 27 (0.01%)
trustno1 = 26 (0.01%)
letmein = 26 (0.01%)
torrent = 24 (0.01%)
qazwsx = 24 (0.01%)
Mykey2011 = 23 (0.01%)
1234 = 21 (0.01%)
666666 = 20 (0.01%)
shadow = 19 (0.01%)
12345 = 19 (0.01%)
1234567 = 19 (0.01%)
1q2w3e4r = 19 (0.01%)
dragon = 18 (0.0%)
fuckyou = 18 (0.0%)

Top 25 Base Words

The website-specific “utorrent” passwords is at the top of the base words list. It’s not uncommon to see people include the website name into their password. There are probably thousands of Null Byte readers using the password “nullbyte,” “wonderhowto,” or some variation.

utorrent = 205 (0.06%)
password = 166 (0.05%)
forum = 164 (0.05%)
qwerty = 128 (0.04%)
mykey = 62 (0.02%)
dragon = 49 (0.01%)
torrent = 42 (0.01%)
letmein = 36 (0.01%)
melto = 36 (0.01%)
shadow = 35 (0.01%)
abcd = 35 (0.01%)
qazwsx = 32 (0.01%)
monkey = 31 (0.01%)
trustno = 31 (0.01%)
fuckyou = 29 (0.01%)
superman = 28 (0.01%)
pass = 28 (0.01%)
alex = 28 (0.01%)
love = 28 (0.01%)
matrix = 27 (0.01%)
killer = 27 (0.01%)
master = 25 (0.01%)
passw0rd = 25 (0.01%)
nokia = 24 (0.01%)
welcome = 24 (0.01%)

Let Me Guess … Your Password Is ‘123456’

The most common passwords between 2012 and 2016 are “123456,” “password,” and “123456789” — with a few variations in how they rank on a site-to-site basis. With that data spanning six years, it’s reasonable to believe these are still the most common password used today.

The more interesting data was discovered within the base words and digits appended to each password. These two datasets can be combined to create a much more (statistically) effective password-guessing wordlist.

Until next time, follow me on Twitter @tokyoneon_ and GitHub. And as always, leave a comment below or message me on Twitter if you have any questions.

Want to start making money as a white hat hacker? Jump-start your white-hat hacking career with our 2020 Premium Ethical Hacking Certification Training Bundle from the new Null Byte Shop and get over 60 hours of training from ethical hacking professionals.

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Cover image and screenshots by tokyoneon/Null Byte

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MLB players react to Joe Kelly’s eight-game suspension for getting revenge on the Astros

Joe Kelly was suspended eight games by Major League Baseball on Wednesday after giving many baseball fans what they’d be waiting months for — vengeance against the Houston Astros after their cheating scandal engulfed the whole sport for the winter.

It was the Dodgers who lost to those 2017 Astros in the World Series. Even though Kelly wasn’t a Dodger then, he took up the cause of revenge Tuesday night when the Dodgers played in Houston for the first time this season. Kelly threw near the head of Alex Bregman and then taunted Carlos Correa after striking him out, causing the benches to clear.

MLB was none too pleased about any of it — particularly the lack of social distancing when the two teams spilled onto the field on the same day the league had to pause another team’s season because of a coronavirus outbreak. So Kelly got eight games, which is the equivalent of 22 games in a 162-game season. That may seem excessive in those terms, but MLB was definitely trying to send a message.

That message wasn’t quite received by current and former players, many of whom took Kelly’s side in the matter — which also was NOT taking the side of the Astros. This includes everybody from current players such as Marcus Stroman and Mike Clevinger to the likes of Frank Viola and Bert Blyleven.

Here’s some of the reaction:

More from Yahoo Sports:

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YSK That You Can Mute Live Photos So Nobody Has to Listen to Them


Live Photos are a great way to relive moments beyond a simple still image since you get up to 1.5 seconds of video before and after the shot. Of course, your iPhone doesn’t just capture motion during a Live Photo — it also records audio. And that audio portion may not be something you want to share.

If you tend to share Live Photos when you have your Ring/Silent switch set to silent mode, you won’t hear any audio when you press down on the image to play it. Even with the volume all of the way up, Live Photos audio won’t play. You may never even notice that sound isn’t something you want to share. So this serves as a notice of sorts: unmute your iPhone and listen before sharing Live Photos!

Now, if you’re unhappy with a Live Photo’s recorded audio but still like the image, you can remove the sounds before sharing. In iOS 13 or later, with the Live Photo selected in Photos, tap “Edit,” then hit the Live Photo icon in the toolbar. Then, just tap the yellow volume icon in the top left to mute it. All that’s left to do is select “Done,” and you’ve got yourself one quiet Live Photo.

In iOS 11–12, after hitting “Edit,” the yellow volume button is visible right away.

Unmuting a Live Photo is just as simple; just follow the instructions above. When you tap on the gray volume icon this time, it will return to yellow, which will tell you the Live Photo’s audio is back online. Just tap “Done” to save it that way. You can also tap “Revert” in the editor, but that will revert any other changes as well.

Keep Your Connection Secure Without a Monthly Bill. Get a lifetime subscription to VPN Unlimited for all your devices with a one-time purchase from the new Gadget Hacks Shop, and watch Hulu or Netflix without regional restrictions.

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Cover image, screenshot, and GIF by Jake Peterson/Gadget Hacks

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امکانات ضروری هتل

رستوران ساز از ابتدای شکل‌گیری ایده برای سرمایه‌گذاری و راه اندازی رستوران تا زمان به ثمر نشتن پروژه، در کنار شما می‌ماند.

منبع :

http://restoransaz.com/run-a-hotel/

 

HOTELبرای تاسیس یک هتل با شکوه و مجلل توجه به خواسته ها و نیازهای مشتری بسیار حائز اهمیت می باشد. در یک هتل امکانات بسیار و متنوعی باید قرار بگیرد تا این نیازهای و خواسته ها رفع شود. هر هتل به شیوه ای منحصر به فرد و براساس سیاست های خود تلاش بر رفع این نیازها را دارد. بسیاری از هتل ها از سالن ها مختلف ورزشی همچون سالن های بدنسازی یا استخرها سرپوشیده یا سرباز و سایر امکانات ورزشی جهت ایجاد رضایت در مشتریان خود استفاده می کنند. این هتل ها در زمان طراحی بسیار حساس عمل کردند و فضاهای سرسبز و فضاهای اختصاصی برای سرگرمی کودکان را از همان ابتدا در دستور کار خود قرار دادند و جدا از آن بسیاری از هتل های لوکس دیگر هم اقدام به اعمال فعالیت هایی همچون احداث واحد های تجاری متنوع و … کرده اند که بدون شک در رضایت مشتریان بدون تاثیر نمی باشد. ایجاد این سری از مجموعه های رفاهی و تفریحی در هتل ها باعث حس متفاوت و رضایت در مشتری می شود و نتیجه آن باعث افزایش سطح کیفی و ارتقاء ستاره های هتل گردد.

Frank Lampard tips Willian to make the right impression in the FA Cup final

Frank Lampard has backed fit-again Willian to produce another “fantastic” Chelsea performance in Saturday’s FA Cup final against Arsenal, even though his Stamford Bridge future remains unresolved.

Brazil winger Willian has shaken off an ankle complaint to be fit for Saturday’s cup showpiece contest at Wembley against the Gunners.

The 31-year-old signed a short-term contract extension to cover a season elongated by the coronavirus shutdown, but that expires after Chelsea’s Champions League exploits.

Frank Lampard, pictured, is confident Willian will be focused on Saturday’s FA Cup final (Adam Davy/PA)
Frank Lampard, pictured, is confident Willian will be focused on Saturday’s FA Cup final (Adam Davy/PA)

Arsenal are understood to be one of the clubs monitoring Willian’s situation, while Chelsea have previously offered the long-serving Stamford Bridge star new two-year contract terms.

Willian had been holding out for a three-year deal and could yet leave the Blues – but Lampard is convinced that the 70-cap Brazil star will be focused solely on steering Chelsea to FA Cup glory on Saturday.

Asked if he is sure that Willian will give everything to the Chelsea cause this weekend, Lampard said: “Yes, because I’ve known Willian for many years now as a player and now as his coach.

“And if anyone wants to see the mentality of him, it’s been shown since restart.

“He’s been fantastic for us, he’s been fantastic this season. He’s shown the right attitude.

“So I would expect nothing less than he’s shown already, and that’s Willian for you.”

France midfielder N’Golo Kante is also fit after hamstring trouble, in another boost to Blues boss Lampard’s resources ahead of facing Mikel Arteta’s Gunners.

Kante has missed six matches after picking up his latest hamstring injury in the 3-0 win over Watford on July 4, but his return will bolster the Blues’ midfield ranks.

The luckless Ruben Loftus-Cheek will miss out however, having picked up an unspecified minor injury in training on Thursday.

Lampard’s main selection conundrum could revolve around whether to keep faith with veteran Willy Caballero in goal, or recall the out-of-sorts Kepa Arrizabalaga.

Kepa joined Chelsea in a goalkeeper-record £71million deal in 2018, but a string of erratic performances could see the Blues aim to loan him out this summer ahead of an eventual permanent move.

Caballero has been Lampard’s cup goalkeeper but also replaced Kepa for the crucial 2-0 victory over Wolves last weekend that sealed Chelsea’s fourth-place Premier League finish and Champions League qualification for next term.

N’Golo Kante, pictured, is fit for Chelsea’s FA Cup final against Arsenal (Michael Regan/NMC Pool)
N’Golo Kante, pictured, is fit for Chelsea’s FA Cup final against Arsenal (Michael Regan/NMC Pool)

“N’Golo Kante and Willian are in the squad, so we’ll see if they are fit to be in the starting XI,” said Lampard.

“Ruben Loftus-Cheek has a small problem he picked up yesterday, so he’s out of the game.

“Selection will be difficult, because we have competition in the squad. And as you’ve seen through the season at times I’ve had to change it, I’ve felt the need to change it.

“And I always do it with the idea that can we win a game, can we be as strong as we can be, with considerations of what opposition are in front of us?

“And in big games like this it becomes slightly more difficult because I know how much players want to be involved in these games.

“But we have to be a strong squad, we have to be together on it, whatever the XI and people on the bench.

“Because in the last period for us, people on the bench have made a huge differences in certain games.

“We have to feel like we’re all together, and if we win it, it means a collective thing for us.

“So (it’s) difficult for me, it will be difficult for players to take, but then we go in positive and try to win as a group.”

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NBA star has stern response to Trump warning

LAKE BUENA VISTA, Fla. — Last week, as the NBA was gearing up for a historic season resumption after a four-month hiatus caused by the COVID-19 pandemic, President Donald Trump issued a warning on his Twitter account that kneeling during the playing of the national anthem would be a “sign of great disrespect” and added the game would be “over for me!”

On Thursday, the opening day of the restart, all four teams that played — the Los Angeles Lakers, Los Angeles Clippers, Utah Jazz and New Orleans Pelicans — kneeled in solidarity around the “Black Lives Matter” logo on the court to peacefully protest racial injustice and police brutality.

Even the referees participated in the demonstration.

Trump has a strong, sizable base, one that could follow his lead and potentially cause a decline in NBA ratings. 

Pelicans sharpshooter J.J. Redick, a white player who is wearing the social justice message “Say Their Names” on the back of his jersey, has long been an ally of his Black teammates and has voiced his disdain for the injustices people of color face in America, had this response to Trump’s warning.

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“First of all, I don’t think anybody in the NBA cares if President Trump watches basketball. I couldn’t care less,” Redick told Yahoo Sports on Thursday night after a 106-104 loss to the Jazz. “As far as his base, I think regardless of the specificity of tweeting about the NBA, every tweet of his is meant to divide, every tweet is meant to incite, every tweet is meant to embolden his base. So [last week] was no different.”

The NBA has been criticized by the president and by elected officials and fans for allowing players to inject “politics” into a sphere intended for entertainment. Players would argue these issues are not politics; they’re a matter of human rights — inequalities that they’ve experienced and that have gone unresolved for hundreds of years.

The tragic deaths of George Floyd, Breonna Taylor, and countless other people of color at the hands of law enforcement is what has intensified the “Black Lives Matter” movement to the point where people of all walks of life, all around the country, have felt an obligation to protest on behalf of the oppressed.

NBA commissioner Adam Silver issued a statement shortly after the Jazz and Pelicans peacefully protested: “I respect our teams’ unified act of peaceful protest for social justice and under these unique circumstances will not enforce our long-standing rule requiring standing during the playing of our national anthem.”

While kneeling, LeBron James raised his right hand with a balled fist as a salute to “Black power.” It was reminiscent of Tommie Smith and John Carlos, two African American track and field stars who raised up their fists at the medal ceremony during the anthem in the 1968 Olympics in Mexico City. 

James is aware that he and his colleagues will be condemned for their vocal positions and demonstrations.

“There’s always going to be people who don’t agree with what you’re doing,” James said following a 103-101 victory over the Clippers. “No matter what you do in life, you’re always going to have people try to pick apart whatever you do. If you’re passionate and true and authentic to whatever your cause is, then it doesn’t matter. I couldn’t care less about the naysayers. I’ve been hearing it for too long.”

In the Disney bubble, teams are expected to continue this method of peaceful protesting during the anthem. For some fans, it will turn them off, while others might listen with an open mind and still others will wholeheartedly support the call for change.

It has been stressed over and over by players, and most notably Colin Kaepernick, that kneeling was never about disrespecting the flag or the troops who serve this country. (Kneeling was even suggested to Kaepernick by a former Green Beret.) It’s about holding this great country accountable for the injustices plaguing the Black community.  

James said he hoped Kaepernick was proud of the players’ demonstration, which recognizes him as the pillar of this movement.

Regardless, the backlash will come. Will the NBA be able to withstand the economic hit? We shall all see.

“Look, we want people to enjoy the NBA and we love our fans, but I think there has to be some level of acceptance and acknowledgement in what our league is saying, what our league is doing and what is happening across this country,” Redick told Yahoo Sports. “And the people who are unwilling to acknowledge that, maybe they shouldn’t be fans.” 

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