Account Summary

Followers Count

104,169

Friends Count

7,994

Tweets Count

22,826

List Count

1,395

Location

San Francisco, CA

Verified

No

Followers Analysis (based on followers sample)

Verified

Number of Verified accounts

318

Percentage of Verified accounts

3.18%

Protected

Number of Protected accounts

1,362

Percentage of Protected accounts

13.62%

Age

Average Age of Twitter accounts

8 years

Bios

Number of users without a Bio

3,154

Number of users with a Bio

6,846

Percentage of users with a Bio

68.46%

Percentage of users without a Bio

31.54%

Worldcloud of Bios

List of top 10 keywords used in bios

Word Frequency
security 410
engineer 300
tech 280
cybersecurity 247
enthusiast 246
software 231
developer 202
cyber 187
opinions 180
love 180

List of top 10 hashtags used in bios

Hashtag Frequency
#cybersecurity 53
#bitcoin 38
#infosec 29
#ai 28
#tech 18
#blacklivesmatter 13
#osint 12
#security 12
#blm 11
#mufc 10

Top 10 followers with the highest follower count

Username Followers Count Friends Count Tweet Count
JohnCena 14093325 586083 7471
RexChapman 1253646 30974 335269
BillKristol 1040046 8257 54892
Smart_CityLATAM 1028546 1220 27889
disinformatico 418074 839 136217
CynthiaDRitchie 329762 1786 23431
DThompsonDev 262008 1796 12087
HerbertRSim 227478 250929 29423
Loopifyyy 208174 2355 72554
ReignOfApril 193869 3440 635686

Top 10 followers with the highest following count

Username Friends Count Followers Count Tweet Count
JohnCena 586083 14093325 7471
HerbertRSim 250929 227478 29423
paoloigna1 96265 97199 2190499
paulbarron 93359 149545 37751
JQT_web3vc 58484 121283 57850
franklinisbored 52847 165418 49306
MicrobiomDigest 46111 139453 68039
Abrazos4u 37598 36294 110673
bigben7tony 34292 31467 104866
InsideNewsroom_ 33132 31006 2794

Top 10 followers with the highest tweet count

Username Tweets Count Followers Count Friends Count
paoloigna1 2190499 97199 96265
CathyJoeGPT 653118 19257 17340
ReignOfApril 635686 193869 3440
MonaSmitte 478072 478 4996
yumekutteikt 463315 2199 4993
omgchante 442326 1992 3673
saudTalreyami 416096 22130 8032
stillawake 370963 8220 9020
CptLeto 368339 2415 3653
paco229 342364 4835 5301

Top 10 followers with the highest listed count

Username Listed Count Friends Count Followers Count
JohnCena 31631 586083 14093325
BillKristol 9180 8257 1040046
paoloigna1 6597 96265 97199
RexChapman 5936 30974 1253646
SamPavin 4176 28593 37005
paulbarron 4004 93359 149545
BenjySarlin 3268 2461 124964
Loopifyyy 3144 2355 208174
MarcCarig 2846 2969 63714
Smart_CityLATAM 2762 1220 1028546

Tweets Analysis

Overview

Total number of tweets analysed

3,232

Earliest tweet was on

2022-03-09

Latest tweet was on

2023-05-26

Tweets covering

442 days

Types of Tweets

Number of Retweets

467

Percentage of total tweets

14%

Number of Original tweets

2,765

Percentage of total tweets

85%

Number of tweets that contain Mentions

2,244

Percentage of total tweets

69%

Number of tweets that were Replies

2,449

Percentage of total tweets

75%

Number of tweets that were Quotes

386

Percentage of total tweets

11%

Number of tweets that contain Hashtags

23

Percentage of total tweets

0%

Top 5 devices used to tweet

Source Count
Twitter for iPhone 2495
Twitter Web App 737

What devices were used to tweet

Top 10 tweets with highest Retweet count

ID Text Retweet count
1660432071003881474 Here’s how I used AI to clone a 60 Minutes correspondent’s voice to trick a colleague into handing over her passport number. I cloned Sharyn’s voice then manipulated the caller ID to show Sharyn’s name with a spoofing tool. The hack took 5 minutes total for me to steal the info. https://t.co/bYUooZWOiH 6223
1560351690221424641 🚨ATTENTION🚨 Apple found two 0-days actively in use that could effectively give attackers full access to device. For most folks: update software by end of day If threat model is elevated (journalist, activist, targeted by nation states, etc): update now https://t.co/BUEn08260X 2608
1585040372841205760 *New takedown tool* It’s easy to hack into accounts bc we can find most email/phone online, plug those into data breaches, then find passwords & login as you. 🔒Google launched a new tool for sensitive detail takedown requests🔒Here’s how to remove your contact info for free: https://t.co/7T2EdvzTGd 1362
1626760590629933057 This Twitter 2FA change is nerve-racking because: 1. Only ~2.6% of Twitter users have 2FA on at all (it’s essential for preventing easy account takeover) Of those 2.6%, 74% use text message based 2FA (https://t.co/WXuFydZk17) If they don’t pay for Blue they auto lose 2FA on 3/20. https://t.co/LneQojvjbi https://t.co/PgySF3Qyag 1189
1588367452043235328 No identity verification, & 8 bucks for a verified account? Get ready for the new cyber criminal playbook: use stolen credit card to buy verified Twitter account, impersonate real customer support channels, trick users into handing over account details in DM, account takeover. https://t.co/lZ9wCVSc0a 1148
1504116311202283522 We just hacked a billionaire! Got consent 1st then got to work hacking Jeffrey Katzenberg. @Evantobac & I stole his pics, emails, and contacts then turned on his mic (without an indicator light) & listened to his phone calls. Here's the video on how we hacked a billionaire: https://t.co/t63JJQccIr 1074
1660437753811861504 Please share this live hacking video with your loved ones so they can see just how easy it is to fake caller ID (and even clone a voice) to demand money or data over a scam phone call. I’m hoping this demo helps even 1 person shut down a hacking attempt. https://t.co/zMENEnlR58 697
1591142813642940418 We’ve got a case study of Twitter blue check imposters impacting an impersonated company’s stock price. Remember the Eli Lilly fake verified account tweets yesterday? That impacted their stock quickly. https://t.co/FwgLCf7PKi 651
1550866285176623105 This breach may allow a person to easily search up and find email addresses and phone numbers for 5.4 million Twitter users — so it’s important to be extra skeptical of emails and texts claiming to be “Twitter” requesting things like a password update, etc https://t.co/HaYIjHM0VJ 619
1583472628110569472 *New live hack demo video* CNN’s @donie asked me to hack him again at @defcon — hacked him last time thru service provider call center attacks, but this time I intruded using the easiest method: reused passwords found in data breaches. Here’s the breakdown.https://t.co/tAcZQhG6MH 594

Top 10 tweets with highest Like count

ID Text Like count
1660432071003881474 Here’s how I used AI to clone a 60 Minutes correspondent’s voice to trick a colleague into handing over her passport number. I cloned Sharyn’s voice then manipulated the caller ID to show Sharyn’s name with a spoofing tool. The hack took 5 minutes total for me to steal the info. https://t.co/bYUooZWOiH 19574
1560351690221424641 🚨ATTENTION🚨 Apple found two 0-days actively in use that could effectively give attackers full access to device. For most folks: update software by end of day If threat model is elevated (journalist, activist, targeted by nation states, etc): update now https://t.co/BUEn08260X 3996
1504116311202283522 We just hacked a billionaire! Got consent 1st then got to work hacking Jeffrey Katzenberg. @Evantobac & I stole his pics, emails, and contacts then turned on his mic (without an indicator light) & listened to his phone calls. Here's the video on how we hacked a billionaire: https://t.co/t63JJQccIr 3875
1585040372841205760 *New takedown tool* It’s easy to hack into accounts bc we can find most email/phone online, plug those into data breaches, then find passwords & login as you. 🔒Google launched a new tool for sensitive detail takedown requests🔒Here’s how to remove your contact info for free: https://t.co/7T2EdvzTGd 3747
1626760590629933057 This Twitter 2FA change is nerve-racking because: 1. Only ~2.6% of Twitter users have 2FA on at all (it’s essential for preventing easy account takeover) Of those 2.6%, 74% use text message based 2FA (https://t.co/WXuFydZk17) If they don’t pay for Blue they auto lose 2FA on 3/20. https://t.co/LneQojvjbi https://t.co/PgySF3Qyag 3185
1588367452043235328 No identity verification, & 8 bucks for a verified account? Get ready for the new cyber criminal playbook: use stolen credit card to buy verified Twitter account, impersonate real customer support channels, trick users into handing over account details in DM, account takeover. https://t.co/lZ9wCVSc0a 2692
1591142813642940418 We’ve got a case study of Twitter blue check imposters impacting an impersonated company’s stock price. Remember the Eli Lilly fake verified account tweets yesterday? That impacted their stock quickly. https://t.co/FwgLCf7PKi 2374
1583472628110569472 *New live hack demo video* CNN’s @donie asked me to hack him again at @defcon — hacked him last time thru service provider call center attacks, but this time I intruded using the easiest method: reused passwords found in data breaches. Here’s the breakdown.https://t.co/tAcZQhG6MH 1983
1592770192345509889 With this announcement, bot farms everywhere are now preparing to legitimize accounts w/ new & improved pay-to-increase-verified-followers options. Remember Goodhart's Law: when a metric becomes a goal, it ceases to be a good measure (any metric based goal can & will be gamed) https://t.co/YzHW4EO1yW 1923
1552692732434403331 *hacking risk intensifies* @defcon https://t.co/j2Q62S482D 1918

Top 3 Languages Used In Tweets

Top 10 Hashtags used

Hashtag Count
#sxsw2022 6
#sharethemicincyber 5
#2 2
#1 2
#4 2
#auscert2023 1
#6 1
#5 1
#3 1
#roadtodefcon 1

Top 10 Hashtags Used In Tweets

Top 10 mentions

Hashtag Count
@defcon 120
@donie 101
@cisajen 68
@evantobac 65
@socialproofsec 61
@sec_defcon 48
@yubico 39
@cnn 25
@sakschilling 22
@_sn0ww 21

Top 10 mentions

Wordcloud of Tweets

Emojis used in tweets

Emoji Count Emoji Text
❤️ 167 red_heart
🤘 153 sign_of_the_horns
🤖 93 robot
🥰 61 smiling_face_with_hearts
😂 57 face_with_tears_of_joy
🔥 46 fire
💔 34 broken_heart
🥲 26 smiling_face_with_tear
🎶 21 musical_notes
😍 17 smiling_face_with_heart-eyes

Emojis groups

Emoji Group Count
Smileys & Emotion 526
People & Body 178
Travel & Places 73
Objects 52
Activities 23
Food & Drink 13
Animals & Nature 13
Symbols 3