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200 most common passwords of 2021 in India

200 most common passwords of 2021 in India

This year the annual research covers 50 different countries, top passwords among different genders, as well as the global view

 

In India, the most popular password according to the 2021 report is “password”, based on the annual research by NordPass. Interestingly, Japan was the only other country out of the 50 analyzed that had the same top password.

 

These are the top 20 most common passwords in India:

 

  1. password
  2. 12345
  3. 123456
  4. 123456789
  5. 12345678
  6. india123
  7. 1234567890
  8. 1234567
  9. qwerty
  10. abc123
  11. xxx
  12. iloveyou
  13. krishna
  14. Indya123
  15. 1qaz@WSX
  16. 123123
  17. sairam
  18. omsairam
  19. abcd1234
  20. 1qaz

 

This year, NordPass published research that features not only the top 200 passwords globally, but also covers the top 200 passwords of 50 different countries. Furthermore, readers can also explore the most common passwords among different genders in all the researched countries.

Trends and differences among countries and genders

 

Overall, the Indian password list has similar trends as many countries, but also has its differences.

 

  1. India is one of only a few countries that has a different number one password  —  “password”, whereas 43 out of 50 analalyzed countries had “123456” as the number one password. In Japan the top password was the word “password”, Indonesia — “12345”, Portugal — “12345”, Spain — “12345”, Thailand — “12345”, Ukraine — “qwerty”.

 

  1. “Qwerty” and its variations are particularly popular in India. In addition to that, other letter combinations, formed by hitting the keyboard in vertical or horizontal order are very popular. Worldwide, these combinations are also quite popular, as well as localized versions of qwerty (for example, “azerty” in French speaking countries).

 

  1. Names are also very popular among both men and women, for example, “priyanka”, “sanjay”, “rakesh” and others.

 

  1. Loving words in English are also quite common, particularly among women, for example “iloveyou”, “sweetheart”, “lovely”, “sunshine”, and more.

 

 

Weak passwords — a global problem

 

The NordPass research also illustrates how weak the top passwords are indicating the time it would take the hacker to crack that password. While the “Time to crack” measure is indicative, and depends on various technological aspects, it’s a good reference point on how poor these passwords are. Overall, in India, 62 passwords out of the 200 can be cracked in less than a second. That’s 31%, whereas globally, the percentage is 84.5%.

 

“Unfortunately, the passwords keep getting weaker and people still don’t maintain proper password hygiene,” says Jonas Karklys, CEO of NordPass. “It’s important to understand that passwords are the gateway to our digital lives, and with us spending more and more time online, it’s becoming enormously important to take better care of our cybersecurity.”

 

Found your password on the “most popular” list?

 

Jonas Karklys, CEO of NordPass advises to follow a few simple steps in order to improve your password hygiene.

 

  1. If you found your password on the list, make sure to change it to a unique and strong password. Ideally, use a password generator online or in your password manager app to create a truly complex one.

 

  1. Store your passwords in a password manager. Nowadays, an average person has around 100 accounts, therefore, it would be impossible to remember all the passwords if they are indeed unique and complex. Password managers are a great solution for that, however, make sure to use a trustworthy, reliable, and, ideally, third-party audited provider.

 

  1. Use multi-factor authentication. Whether it’s biometric authentication, phone message, or a physical key, it’s always a good idea to add an additional security layer on top of your password.

 

Methodology: The list of passwords was compiled in partnership with independent researchers specializing in research of cybersecurity incidents. They evaluated a 4TB-sized database.

 

Researchers classified the data into various verticals, which allowed them to perform a statistical analysis based on countries and gender.

 

With regard to the gender vertical, the researched data was classified by gender only if it included a gender key. If the breached data didn’t contain the data key, it was classified as “unknown”.

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