In the digital age where online services are increasingly popular, many users opt for simple passwords, according to the HPI. This unfortunate pattern creates a goldmine for cybercriminals, offering easy access to sensitive personal information. Surprisingly, the creativity in password selection hasn't improved, as revealed by HPI's analysis.
The ranking of the most frequently used passwords includes the predictable "password," "password1," and "iloveyou," among others. Cybercriminals exploit these straightforward choices, as simple passwords become widespread even for nefarious purposes such as bot farms and disinformation campaigns.
Every year, the Hasso Plattner Institute, a renowned German research institution, publishes the most frequently used passwords in Germany. The data is derived from millions of login credentials from its HPI Identity Leak Checker database, which contains email addresses with a .de domain and leaked data from 2023.
HPI advocates for the use of complex passwords, exceeding 15 characters and varying between different platforms. Employing password managers can contribute to better security as well.
Recent trends show that users in Germany tend to be less meticulous in choosing passwords compared to the previous year. Bitkom's survey unveiled that while 74% of users opted for complex passwords with a combination of letters, numbers, and special characters in 20XX, it decreased to 83% a year ago.
Despite the HPI's recommendations for secure passwords, users continue to rely on easily guessable phrases like sequences of numbers or common words like "hello." This behavior leaves their information vulnerable to cybercriminal attacks, which can lead to malicious activities such as identity theft and phishing attacks.
Ensuring both complexity and uniqueness in password selection is vital to guard against cybercriminals. This means avoiding popular and simple choices like "hello" or numbers sequences to maintain the security of personal information.
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[1] - Source: www.stern.de
- Note: The enrichment data has been integrated into the base article to offer additional insights without overloading the content.