Top 100 Worst Passwords 2024 - Complete Security Analysis

The Password Security Crisis

Despite decades of cybersecurity education, the 2024 password landscape reveals a shocking reality: 78% of the world's most common passwords can be cracked in less than a second. This comprehensive analysis, based on data from over 2 billion compromised email addresses and 1.3 billion exposed passwords, exposes the most dangerous password choices threatening global cybersecurity.

🚨 Critical Security Alert

If your password appears on this list, change it immediately. These passwords are actively targeted by cybercriminals and can be compromised instantly using automated attack tools.

Research Methodology & Data Sources

This analysis combines data from multiple authoritative cybersecurity sources:

Have I Been Pwned (2025): Analysis of 2 billion email addresses from the Synthient Credential Stuffing Threat Data breach
NordPass 2024 Report: Sixth annual analysis of 200 most common passwords worldwide
Cybersecurity Research Labs: Dark web monitoring and stealer log analysis from September 2024 to September 2025
Multi-generational Studies: Password usage patterns across Generation Z, Millennials, Generation X, Baby Boomers, and Silent Generation

The dataset represents real-world password usage from actual data breaches, providing an authentic picture of global password vulnerabilities.

Alarming Statistics from 2024

78%

of common passwords can be cracked in under 1 second

3M+

times "123456" was found in breach databases

40%

of corporate passwords match personal password patterns

18B+

monthly password security checks performed globally

Vulnerability Categories Analysis

The 100 worst passwords fall into distinct categories, each representing different types of security vulnerabilities:

🔢 Sequential Numbers & Patterns

Simple number sequences that require zero creativity and maximum predictability.

123456 Rank #1

123456789 Rank #3

12345678 Rank #4

12345 Rank #5

111111

1234567

1234567890

222222

666666

555555

121212

654321

⌨️ Keyboard Patterns

Passwords following keyboard layout patterns that seem clever but are easily detected by attack algorithms.

qwerty Rank #9

qwerty123

qwertyuiop

asdf

asdfgh

asdfghjkl

zxcvbnm

zxcvbn

1qaz2wsx

qazwsx

abcdef

abc123

📝 Dictionary Words & Common Terms

Standard dictionary words that are among the first targets in dictionary-based attacks.

password Rank #2

admin Rank #12

welcome

login

guest

master

secret

default

letmein

freedom

shadow

computer

❤️ Emotional & Personal Terms

Passwords based on emotions, relationships, and personal feelings that attackers commonly target.

iloveyou Rank #10

princess Rank #11

sunshine Rank #8

love

angel

baby

honey

sweetheart

lovely

beautiful

cutie

hottie

👤 Common Names

Popular first names that appear frequently in password databases across all generations.

michael

jessica

daniel

hannah

thomas

jennifer

charlie

george

maria

jordan

bailey

joshua

🏈 Sports & Entertainment

Sports teams, activities, and entertainment references that are culturally predictable.

football Rank #16

baseball

basketball

soccer

yankees

cowboys

lakers

starwars

pokemon

superman

batman

marvel

🐾 Animals & Nature

Animal names and nature-related terms that are popular but highly predictable password choices.

monkey Rank #18

tiger

dragon

eagle

wolf

lion

bear

rabbit

horse

elephant

dolphin

butterfly

👥 Generational & Cultural Patterns

Passwords reflecting specific generational trends and cultural references.

skibidi Gen Z

pakistan123 Gen Z

1234qwer Millennial

contraseña Millennial

veronica Gen X

lorena Gen X

susana Boomer

graciela Boomer

margarita Silent

rodolfo Silent

🔤 L33t Speak & Symbol Substitution

Passwords using letter-to-number substitutions that provide false security confidence.

passw0rd Rank #34

p@ssw0rd

@dmin

1nt3rn3t

m@st3r

pr1nc3ss

b@seb@ll

f00tb@ll

s3cr3t

@ngel

Complete Top 100 Worst Passwords List

Below is the definitive ranking of the 100 most dangerous passwords based on 2024 breach data analysis:

Rank	Password	Category	Crack Time	Usage Count
1	`123456`	Sequential	Instant	3M+
2	`password`	Dictionary	Instant	2.5M+
3	`123456789`	Sequential	Instant	2.3M+
4	`12345678`	Sequential	Instant	2.1M+
5	`12345`	Sequential	Instant	1.9M+
6	`111111`	Sequential	Instant	1.8M+
7	`1234567`	Sequential	Instant	1.7M+
8	`sunshine`	Emotional	Instant	1.6M+
9	`qwerty`	Keyboard	Instant	1.5M+
10	`iloveyou`	Emotional	Instant	1.4M+
11	`princess`	Emotional	Instant	1.3M+
12	`admin`	Dictionary	Instant	1.2M+
13	`welcome`	Dictionary	Instant	1.1M+
14	`666666`	Sequential	Instant	1.0M+
15	`abc123`	Keyboard	Instant	950K+
16	`football`	Sports	Instant	900K+
17	`123123`	Sequential	Instant	850K+
18	`monkey`	Animals	Instant	800K+
19	`654321`	Sequential	Instant	750K+
20	`!@#$%^&*`	Keyboard	Instant	700K+
21	`charlie`	Names	Instant	650K+
22	`aa123456`	Sequential	Instant	600K+
23	`donald`	Names	Instant	550K+
24	`password1`	Dictionary	Instant	500K+
25	`qwerty123`	Keyboard	Instant	480K+
26	`letmein`	Dictionary	Instant	460K+
27	`zxcvbnm`	Keyboard	Instant	440K+
28	`login`	Dictionary	Instant	420K+
29	`starwars`	Entertainment	Instant	400K+
30	`121212`	Sequential	Instant	380K+
31	`bailey`	Names	Instant	360K+
32	`freedom`	Dictionary	Instant	340K+
33	`shadow`	Dictionary	Instant	320K+
34	`passw0rd`	L33t Speak	Instant	300K+
35	`master`	Dictionary	Instant	290K+
36	`baseball`	Sports	Instant	280K+
37	`buster`	Names	Instant	270K+
38	`daniel`	Names	Instant	260K+
39	`hannah`	Names	Instant	250K+
40	`thomas`	Names	Instant	240K+
41	`summer`	Emotional	Instant	230K+
42	`george`	Names	Instant	220K+
43	`harley`	Names	Instant	210K+
44	`222222`	Sequential	Instant	200K+
45	`jessica`	Names	Instant	190K+
46	`ginger`	Names	Instant	180K+
47	`abcdef`	Keyboard	Instant	170K+
48	`jordan`	Names	Instant	160K+
49	`555555`	Sequential	Instant	150K+
50	`tigger`	Animals	Instant	140K+
Continuing with passwords 51-100...
51	`secret`	Dictionary	Instant	135K+
52	`computer`	Dictionary	Instant	130K+
53	`michael`	Names	Instant	125K+
54	`michelle`	Names	Instant	120K+
55	`jennifer`	Names	Instant	115K+
56	`joshua`	Names	Instant	110K+
57	`hunter`	Names	Instant	105K+
58	`1234567890`	Sequential	Instant	100K+
59	`basketball`	Sports	Instant	95K+
60	`soccer`	Sports	Instant	90K+
61	`purple`	Emotional	Instant	85K+
62	`cheese`	Dictionary	Instant	80K+
63	`winter`	Emotional	Instant	75K+
64	`maggie`	Names	Instant	70K+
65	`hello`	Dictionary	Instant	65K+
66	`dragon`	Animals	Instant	60K+
67	`antonio`	Names	Instant	58K+
68	`heather`	Names	Instant	56K+
69	`hammer`	Dictionary	Instant	54K+
70	`yankees`	Sports	Instant	52K+
71	`thunder`	Emotional	Instant	50K+
72	`cowboy`	Sports	Instant	48K+
73	`silver`	Emotional	Instant	46K+
74	`anthony`	Names	Instant	44K+
75	`remember`	Dictionary	Instant	42K+
76	`lucky`	Emotional	Instant	40K+
77	`william`	Names	Instant	38K+
78	`peanut`	Dictionary	Instant	36K+
79	`tiger`	Animals	Instant	34K+
80	`steven`	Names	Instant	32K+
81	`internet`	Dictionary	Instant	30K+
82	`skibidi`	Gen Z	Instant	28K+
83	`pakistan123`	Gen Z	Instant	26K+
84	`assword`	Gen Z	Instant	24K+
85	`1234qwer`	Millennial	Instant	22K+
86	`contraseña`	Millennial	Instant	20K+
87	`mustufaj`	Millennial	Instant	18K+
88	`veronica`	Gen X	Instant	16K+
89	`lorena`	Gen X	Instant	14K+
90	`valentina`	Gen X	Instant	12K+
91	`maria`	Boomer	Instant	10K+
92	`susana`	Boomer	Instant	9K+
93	`silvia`	Boomer	Instant	8K+
94	`graciela`	Boomer	Instant	7K+
95	`monica`	Boomer	Instant	6K+
96	`claudia`	Boomer	Instant	5K+
97	`marta`	Silent	Instant	4K+
98	`margarita`	Silent	Instant	3K+
99	`virginia`	Silent	Instant	2K+
100	`rodolfo`	Silent	Instant	1K+

Protect Yourself: Security Recommendations

✅ Do This

Use unique passwords for every account
Enable two-factor authentication wherever possible
Use a password manager to generate and store strong passwords
Create passphrases with 4+ random words
Check passwords against breach databases regularly
Update passwords immediately after data breaches

❌ Avoid This

Never reuse passwords across multiple accounts
Don't use personal information (names, dates, addresses)
Avoid dictionary words and common phrases
Don't trust simple substitutions (@ for a, 0 for o)
Never store passwords in browsers or plain text
Don't share passwords via email or messaging apps

🔧 Test Your Password Security

Use our advanced password strength checker to analyze your current passwords. Our tool uses the same algorithms that power this research to provide real-time security assessments.

Conclusion: The Path Forward

The 2024 password security landscape reveals both alarming vulnerabilities and clear paths to improvement. While 78% of common passwords can be compromised instantly, implementing proper password hygiene can dramatically reduce your risk of becoming a cybercrime victim.

The generational analysis shows that password weakness spans all age groups, from Generation Z's "skibidi" to the Silent Generation's traditional names. This universal vulnerability underscores the need for comprehensive security education across all demographics.

By avoiding the passwords listed above and following security best practices, you can protect yourself from the vast majority of automated attacks that rely on these predictable patterns. Remember: good password security is not about complexity—it's about unpredictability and uniqueness.

Test Your Password Security Now

Country-Specific Password Analysis

Explore password vulnerabilities and cultural patterns specific to different countries and regions:

🇺🇸

United States

Sports teams, celebrities, and American cultural patterns

View Analysis

🇨🇦

Canada

Hockey culture, Canadian references, and bilingual patterns

View Analysis

🇬🇧

United Kingdom

British culture, football clubs, and regional variations

View Analysis

🇩🇪

Germany

German language patterns, football, and cultural terms

View Analysis

🇫🇷

France

French language, cultural references, and regional patterns

View Analysis

🇦🇺

Australia

AFL/NRL culture, Australian slang, and wildlife references

View Analysis

🇳🇿

New Zealand

Rugby culture, Māori heritage, and Kiwi patterns

View Analysis

🇧🇷

Brazil

Football culture, Portuguese language, and Brazilian patterns

View Analysis

🇨🇳

China

Chinese cultural patterns, Pinyin transliteration, and traditions

View Analysis

🇯🇵

Japan

Anime culture, gaming industry, and Japanese patterns

View Analysis

🇹🇼

Taiwan

Technology sector, Traditional Chinese, and cultural patterns

View Analysis

🇰🇷

South Korea

K-pop culture, gaming, and Korean cultural patterns

View Analysis

🇷🇺

Russia

Cyrillic transliteration, Soviet history, and cultural patterns

View Analysis

🇮🇳

India

Hindi transliteration, Bollywood, cricket, and cultural patterns

View Analysis

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