ZephrFish - Tweet Data Analysis
Tweets Analysis - Keyword: @ZephrFish
Veröffentlicht am 9. März 2023
Übersicht
Tweets covering
10 days
Latest tweet was on
2023-02-21
Earliest tweet was on
2023-02-11
Total number of tweets analysed
210
Average age of authors' accounts
10 years
Zusammenfassung
ZephrFish is discussing a situation where a client is unsure how to fix an SSL related issue. ZephrFish speaks about the trouble with vulnerability scanners, the consequences businesses face if they don't upgrade, and other scenarios. The overall theme is how the right context and standards must be applied when dealing with security issues.
Themenmodellierung
- SSL/TLS related vulnerabilities
- Proof of Concept demonstration
- Weak SSL Ciphers
- Impact of legacy configs on security posture
- Effect of encryption ones security
Emotionsanalyse
The tweets express a range of emotions, from frustration and annoyance to humor and sarcasm. There is a sense of exasperation with the client's lack of understanding of SSL-related issues, as well as the fact that the same problems have been around for 8 years. There is also a feeling of disbelief and amusement at the requests being made, as well as annoyance with the way businesses handle security. Finally, there is a feeling of exasperation with the security tools being used, as well as a sense of pride in the technical knowledge of the tweeter.
Trendanalyse
- SSL vulnerabilities
- Proof of Concept demonstration
- Impact of Vulnerabilities
- Weak SSL ciphers
- Impact of Endpoint scanning
Haftungsausschluss: Die Textanalyse auf twtdata.com, unterstützt durch OpenAI, stellt nicht die Ansichten von twtdata.com oder seinen verbundenen Unternehmen dar. Die Analyse dient nur zu Informationszwecken und ist keine Bestätigung einer Meinung.
Tweet-Arten
Number of Retweets
26
12% vom Gesamten
Number of Original tweets
0
0% vom Gesamten
Number of tweets that were Quotes
4
1% vom Gesamten
Number of tweets that were Replies
184
87% vom Gesamten
Number of tweets that contain Hashtags
4
1% vom Gesamten
Number of tweets that contain Mentions
210
100% vom Gesamten
Verwendete Geräte zum Tweeten
Top 5 Geräte
| Source | Count |
|---|---|
| Twitter for iPhone | 83 |
| Twitter for Android | 71 |
| Twitter Web App | 51 |
| Twitter for iPad | 3 |
| @nuance_bot | 1 |
Geräteverteilung
Top 10 Konten nach Followern
| Username | Name | Bio | Followers count |
|---|---|---|---|
| TenableSecurity | Tenable | This is the official Twitter account of Tenable - the Exposure Management company. | 82.500 |
| UK_Daniel_Card | mRr3b00t | 真理的揭露者 Quis custodiet ipsos custodes fella in cyberspace #nafo undercover #fella #meme #farm #appreciator #cyer #specialist | 61.528 |
| inversecos | inversecosᵘʷᵘ | security researcher 🗡️ Trainings @XintraOrg 🖤 | 44.947 |
| cybergibbons | Cybergibbons 🚲🚲🚲 | Head of hardware. IoT hacker. | 42.961 |
| Scott_Helme | Scott Helme | Hacker, researcher, builder of things. Founded @securityheaders/@reporturi, Pluralsight author, BBC hacker in residence, award winning entrepreneur. Likes cars. | 39.382 |
| _wald0 | Andy Robbins | Product Architect of BloodHound Enterprise. Co-creator of BloodHound. Please donate to MDA: https://t.co/wtLm1eFzRc. He/him. @SpecterOps. Mstdn: @[email protected] | 36.525 |
| DebugPrivilege | H | Incident Responder at Fortune 500 company | Former Microsoft MVP | All Tweets are my opinions and thoughts | 32.520 |
| HackingLZ | Justin Elze | Hacker/CTO @TrustedSec | Former Optiv/SecureWorks/Accuvant Labs/Redspin | Race cars | 31.733 |
| vysecurity | Vincent Yiu | Follow me for Cybersecurity #Thought #Leadership. I help organisations safeguard their businesses from the bad guys. Die hard Red Team forever. | 24.676 |
| dakacki | rand0h | He / Him /DEF CON Goon / https://t.co/1NCb1chpze… / @DEFCON610 / @WhoseSlide / Tweets 15% artisan curated by @hxfifty | 21.035 |
Top 10 Konten nach Following
| Username | Name | Bio | Followers count |
|---|---|---|---|
| 5m477 | Human Hacker | CyberHead....... | Web2 ⛓ Web3 Security Researcher | 10.582 |
| UK_Daniel_Card | mRr3b00t | 真理的揭露者 Quis custodiet ipsos custodes fella in cyberspace #nafo undercover #fella #meme #farm #appreciator #cyer #specialist | 6.016 |
| trashp4ndasec | кибер енот | my store is to help pay for a #hackerspace and community training gear for @tp4ndavillage #latinhacker #SecureMindsNotMachines @trashp4ndatiks he/him | 5.004 |
| ayirpelle | priya joseph | geek, entrepreneur, 'I strictly color outside the lines!', opinions r my own indeed. @ayirpelle , universal handle at this time | 5.002 |
| timb_machine | Tim Brown | push(@twitter, "Adversarial Architect"); # i tweet in Perl | 4.982 |
| SecureThisNow | MrBill.ethernet | Dislike cyber__ terms | InfoSec | @HardHatBrigade | Perpetual Newb | Meyers-Briggs: IDGAF | !Serious Account | ex-Payphone Purveyor | Only on Infosec Exchange | 4.679 |
| HackingLZ | Justin Elze | Hacker/CTO @TrustedSec | Former Optiv/SecureWorks/Accuvant Labs/Redspin | Race cars | 4.418 |
| d4n_tweets | d4n | security for a space startup | 4.049 |
| mroytman | Michael Roytman | Hurry Slowly. Principal Engineer @CiscoSecure; Chief Data Scientist @KennaSecurity; CoFounder @SputnikRoasters, @DharmaPlatform; @ForbesUnder30 2017; from 🇺🇦 | 3.446 |
| DeathsPirate | 🏴☠️ ÐΞΛТHS PłЯΛТΞ | Homo Luden. Homo Faber. | 3.392 |
Aktivste Nutzer
| Username | Bio | Number of tweets |
|---|---|---|
| GlennPegden | Good Guy Hacker, Vuln/AppSec/Bug Bounty Mgr. - @[email protected] | 5 |
| tautology0 | vi is the best text editor. FACT!@[email protected] | 5 |
| UK_Daniel_Card | 真理的揭露者 Quis custodiet ipsos custodes fella in cyberspace #nafo undercover #fella #meme #farm #appreciator #cyer #specialist | 4 |
| David_W_Maxwell | Unix, Security, Networks. Security@BlueCat. Hobbies: Open Source, NetBSD, Photography, Magic, Martial Arts, Psychology, 3D (Lightwave & Blender), Blacksmithing | 4 |
| HackingLZ | Hacker/CTO @TrustedSec | Former Optiv/SecureWorks/Accuvant Labs/Redspin | Race cars | 4 |
| inversecos | security researcher 🗡️ Trainings @XintraOrg 🖤 | 3 |
| vysecurity | Follow me for Cybersecurity #Thought #Leadership. I help organisations safeguard their businesses from the bad guys. Die hard Red Team forever. | 3 |
| h4v0k_1nT | - | 3 |
| darkrabb1t | Cybersec, offensive security, and anti-FUD activist. Reefer (corals, dude), track driver, and homebrewer. I also have a tractor and flannel now. | 3 |
| d00m90b1in | gentleman beet farmer, cyber geek, likes numbers & animals … | 3 |
Tweets pro Tag
Top 10 Tweets nach Retweets
| ID | Text | Retweet count |
|---|---|---|
| 1626642272199577604 | @ZephrFish It goes like this: PT: you have a critical on scans ... It's SSL related. Client: We've no idea how to fix this! Can you help? PT: Sure but … | 4 |
| 1626630892251934720 | @ZephrFish Saw this somewhere. https://t.co/TBEOWBDXgK | 3 |
| 1626543967163539456 | @ZephrFish Ah TLS/SSL vulns and scanner CVSS score, you'd have *hoped* they might have improved this by now. I did a bit on it 8 years ago FFS! https://t.co/ncfkp4fJDL | 2 |
| 1626542786781609985 | @ZephrFish Please show me the incident where weak SSL ciphers were in the kill chain. | 2 |
| 1627426432849772544 | @David_W_Maxwell @tautology0 @ZephrFish Did you read the actual paper? You can, on AVERAGE, decrypt 1 out of every 1000 TLS reqs, and thats just hoping that out of those, that … | 1 |
| 1626627792397029376 | @ZephrFish CVSSv3 junkies. It also rates 'Eternal Blue' as 'High' but not 'Critical'. https://t.co/hgbckIk7xX | 1 |
| 1626622718882848768 | @theluemmel @ZephrFish Based on my experience, the most interesting vulnerabilities on Nessus you can find it tagged as INFO <.< | 1 |
| 1626654372280078361 | @TenableSecurity @ZephrFish I think alot of us have questions about the severity of the plugins....why not answer here so people here can see the logic of SSL 2 & 3 … | 1 |
| 1626699390667587585 | @ZephrFish It really does need nuance for threat model. | 1 |
| 1626572187988623361 | @ZephrFish We should start calling this the Andy Jenkins Effect | 1 |
Top 10 Tweets nach Likes
| ID | Text | Like count |
|---|---|---|
| 1626642272199577604 | @ZephrFish It goes like this: PT: you have a critical on scans ... It's SSL related. Client: We've no idea how to fix this! Can you help? PT: Sure but … | 66 |
| 1626569365683412992 | @ZephrFish Please show me a proof of concept demonstrating impact 😂 | 39 |
| 1626543967163539456 | @ZephrFish Ah TLS/SSL vulns and scanner CVSS score, you'd have *hoped* they might have improved this by now. I did a bit on it 8 years ago FFS! https://t.co/ncfkp4fJDL | 37 |
| 1626630892251934720 | @ZephrFish Saw this somewhere. https://t.co/TBEOWBDXgK | 29 |
| 1626543755229806593 | @ZephrFish And tell them to send me whatever they’re smoking 🤣 | 27 |
| 1626542786781609985 | @ZephrFish Please show me the incident where weak SSL ciphers were in the kill chain. | 18 |
| 1626584539933077514 | @ZephrFish Yeah, and SmartInstall detection and IPMI cypher zero are both categorized as INFO. <sigh>😞 . . | 11 |
| 1626637831379554318 | @ZephrFish Wait ... You don't know the trick for using SSLv3 to get Enterprise Admin?? | 10 |
| 1626572155428212741 | @ZephrFish @HackingLZ Depends on your threat model as it always should. There’s also missing context like what was the endpoint being scanned? I’d be more concerned about someone running such … | 10 |
| 1626622718882848768 | @theluemmel @ZephrFish Based on my experience, the most interesting vulnerabilities on Nessus you can find it tagged as INFO <.< | 9 |
Top verwendete Sprachen
Top 10 Hashtags
| Hashtag | Count |
|---|---|
| #ltr102 | 1 |
| #securitay2023 | 1 |
| #blueteam | 1 |
| #cti | 1 |
Top 10 Erwaenungen
| Mention | Count |
|---|---|
| @zephrfish | 210 |
| @tenablesecurity | 12 |
| @notmedic | 9 |
| @inversecos | 9 |
| @qualys | 7 |
| @tautology0 | 5 |
| @deathspirate | 5 |
| @hackinglz | 5 |
| @5ub34x | 4 |
| @pck4d | 4 |
Wortwolke der Tweets
Emoji-Analyse
Durchschnittliche Emojis pro Tweet:
21
Verwendete Emojis
| Emoji | Count | Emoji Text |
|---|---|---|
| 😂 | 15 | face_with_tears_of_joy |
| 🤣 | 12 | rolling_on_the_floor_laughing |
| 😭 | 5 | loudly_crying_face |
| 😢 | 2 | crying_face |
| 🙏🏼 | 2 | folded_hands_medium-light_skin_tone |
| 😃 | 1 | grinning_face_with_big_eyes |
| ☠️ | 1 | skull_and_crossbones |
| 😞 | 1 | disappointed_face |
| 👀 | 1 | eyes |
| 💜 | 1 | purple_heart |
Emoji-Gruppen
| Emoji Group | Count |
|---|---|
| Smileys & Emotion | 40 |
| People & Body | 6 |
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