#networkanalysis — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #networkanalysis, aggregated by home.social.
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Wireshark for the web (webasm)
Open, dissect and analyse .pcap / .pcapng capture files entirely in your web browser.
Online - local in your browser https://stricaud.github.io/wpcapng/
Sourc code - https://github.com/stricaud/wpcapng -
Wireshark for the web (webasm)
Open, dissect and analyse .pcap / .pcapng capture files entirely in your web browser.
Online - local in your browser https://stricaud.github.io/wpcapng/
Sourc code - https://github.com/stricaud/wpcapng -
Disinformation monitoring isn't about counting posts; it's about mapping the networks behind them. That's the deeper layer Veritas is built to surface. 🕸️
#NetworkAnalysis #Disinformation #TechEthics #InfoWarfare #SocialMediaMonitoring
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Disinformation monitoring isn't about counting posts; it's about mapping the networks behind them. That's the deeper layer Veritas is built to surface. 🕸️
#NetworkAnalysis #Disinformation #TechEthics #InfoWarfare #SocialMediaMonitoring
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🦅🔒 Wireshark 4.6.7 a fost lansat: Analizorul de pachete repară 12 vulnerabilități de securitate critice
Wireshark, cel mai popular și utilizat analizor de protocoale de rețea din lume, a primit o actualizare critică de securitate prin lansarea versiunii Wireshark 4.6.7. Această ediție este una de maximă importanță pentru administratorii de rețea, inginerii DevOps și experții în securitate cibernetică, deoarece adresează și repară nu mai puțin de 12 vulnerabilități care puteau pune în pericol stabilitatea și siguranța sistemelor.
Fiind un instrument care procesează pachete de date brute direct din rețea sau din fișiere de captură (pcap), Wireshark este o țintă preferată pentru atacatori, care pot folosi pachete special modificate pentru a prăbuși aplicația sau pentru a executa cod malițios.
Iată detaliile esențiale despre această lansare și de ce upgrade-ul este obligatoriu:
🔹 Repararea vulnerabilităților de tip DoS (Denial of Service):
Majoritatea celor 12 breșe de securitate rezolvate în versiunea 4.6.7 erau legate de erori de tip dissector (modulele interne care decodifică protocoalele specifice). Atacatorii puteau trimite pachete de rețea malițioase (sau puteau injecta date compromise într-un fișier de captură) pentru a declanșa bucle infinite, scurgeri de memorie (memory leaks) sau prăbușiri instantanee ale aplicației (crashes), blocând monitorizarea traficului.🔹 Protocoalele afectate și curățate:
Erorile au fost identificate și corectate într-o gamă largă de dissectoare de protocoale, de la cele utilizate în mediul enterprise până la cele din infrastructurile industriale și de telecomunicații. Printre protocoalele care au primit patch-uri critice se numără:GQUIC, HTTP/2 și TLS (pentru traficul web securizat).
Protocoale de comunicații mobile și industriale specifice.
🔹 Remedieri de bug-uri și îmbunătățirea stabilității:
Pe lângă rezolvarea problemelor stricte de securitate, Wireshark 4.6.7 aduce și o serie de corecții pentru bug-uri raportate de comunitate. Au fost optimizate funcțiile de filtrare a pachetelor (Display Filters), a fost îmbunătățită acuratețea randării grafice a fluxurilor de date și s-a asigurat o performanță mai stabilă la analizarea fișierelor de captură de mari dimensiuni (de ordinul gigabyților).🔹 Recomandare fermă de upgrade:
Deoarece Wireshark rulează adesea cu privilegii ridicate pe sistem (pentru a putea accesa direct plăcile de rețea în modul promiscuu), expunerea la aceste vulnerabilități reprezintă un risc major. Utilizatorilor de pe toate platformele (Linux, Windows, macOS) li se recomandă să facă actualizarea la versiunea 4.6.7 cât mai curând posibil prin intermediul managerelor de pachete oficiale sau descărcând kitul direct de pe site-ul oficial.#Security #Wireshark #CyberSecurity #NetworkAnalysis #SysAdmin #SecOps #TechNews #Linuxiac
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🦅🔒 Wireshark 4.6.7 a fost lansat: Analizorul de pachete repară 12 vulnerabilități de securitate critice
Wireshark, cel mai popular și utilizat analizor de protocoale de rețea din lume, a primit o actualizare critică de securitate prin lansarea versiunii Wireshark 4.6.7. Această ediție este una de maximă importanță pentru administratorii de rețea, inginerii DevOps și experții în securitate cibernetică, deoarece adresează și repară nu mai puțin de 12 vulnerabilități care puteau pune în pericol stabilitatea și siguranța sistemelor.
Fiind un instrument care procesează pachete de date brute direct din rețea sau din fișiere de captură (pcap), Wireshark este o țintă preferată pentru atacatori, care pot folosi pachete special modificate pentru a prăbuși aplicația sau pentru a executa cod malițios.
Iată detaliile esențiale despre această lansare și de ce upgrade-ul este obligatoriu:
🔹 Repararea vulnerabilităților de tip DoS (Denial of Service):
Majoritatea celor 12 breșe de securitate rezolvate în versiunea 4.6.7 erau legate de erori de tip dissector (modulele interne care decodifică protocoalele specifice). Atacatorii puteau trimite pachete de rețea malițioase (sau puteau injecta date compromise într-un fișier de captură) pentru a declanșa bucle infinite, scurgeri de memorie (memory leaks) sau prăbușiri instantanee ale aplicației (crashes), blocând monitorizarea traficului.🔹 Protocoalele afectate și curățate:
Erorile au fost identificate și corectate într-o gamă largă de dissectoare de protocoale, de la cele utilizate în mediul enterprise până la cele din infrastructurile industriale și de telecomunicații. Printre protocoalele care au primit patch-uri critice se numără:GQUIC, HTTP/2 și TLS (pentru traficul web securizat).
Protocoale de comunicații mobile și industriale specifice.
🔹 Remedieri de bug-uri și îmbunătățirea stabilității:
Pe lângă rezolvarea problemelor stricte de securitate, Wireshark 4.6.7 aduce și o serie de corecții pentru bug-uri raportate de comunitate. Au fost optimizate funcțiile de filtrare a pachetelor (Display Filters), a fost îmbunătățită acuratețea randării grafice a fluxurilor de date și s-a asigurat o performanță mai stabilă la analizarea fișierelor de captură de mari dimensiuni (de ordinul gigabyților).🔹 Recomandare fermă de upgrade:
Deoarece Wireshark rulează adesea cu privilegii ridicate pe sistem (pentru a putea accesa direct plăcile de rețea în modul promiscuu), expunerea la aceste vulnerabilități reprezintă un risc major. Utilizatorilor de pe toate platformele (Linux, Windows, macOS) li se recomandă să facă actualizarea la versiunea 4.6.7 cât mai curând posibil prin intermediul managerelor de pachete oficiale sau descărcând kitul direct de pe site-ul oficial.#Security #Wireshark #CyberSecurity #NetworkAnalysis #SysAdmin #SecOps #TechNews #Linuxiac
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Hey #privacy and mobile security researchers. It would be so wonderful to see a deep dive on the Noonlight app’s behavior. It’s an emergency safety app but it seems like it hasn’t received the same level of scrutiny as many other popular apps. It would be nice to be able to know if user trust and transparency assumptions are well placed. ❤️
(boosts appreciated for reach)
#infosec #appsec #security #networkanalysis #digitalprivacy #cybersecurity #android #ios
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Hey #privacy and mobile security researchers. It would be so wonderful to see a deep dive on the Noonlight app’s behavior. It’s an emergency safety app but it seems like it hasn’t received the same level of scrutiny as many other popular apps. It would be nice to be able to know if user trust and transparency assumptions are well placed. ❤️
(boosts appreciated for reach)
#infosec #appsec #security #networkanalysis #digitalprivacy #cybersecurity #android #ios
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I'm happy to share that my work on Community Detection Algorithms in Social Network Analysis has been published in the Canadian Journal of Statistics!
This work has been quite the journey, starting with from initial exploration to the development an algorithm, an R package, a published abstract, arXiv article, and now, a journal article!
Huge thank you to my co-authors Tyler Pittman and Wei Xu!
https://onlinelibrary.wiley.com/doi/full/10.1002/cjs.70060
#RStats #Statistics #Epidemiology #NetworkAnalysis #DataScience
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I'm happy to share that my work on Community Detection Algorithms in Social Network Analysis has been published in the Canadian Journal of Statistics!
This work has been quite the journey, starting with from initial exploration to the development an algorithm, an R package, a published abstract, arXiv article, and now, a journal article!
Huge thank you to my co-authors Tyler Pittman and Wei Xu!
https://onlinelibrary.wiley.com/doi/full/10.1002/cjs.70060
#RStats #Statistics #Epidemiology #NetworkAnalysis #DataScience
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📯#DigitalHistoryOFK: Adrian Wüthrich (TU Berlin) presents “Network Epistemology in Practice”.
How are theories of network epistemology reflected in historical scientific practice? The NEPI project uses born-digital sources from large research collaborations (like CERN's ATLAS) to study knowledge production through computational analysis.
📅10 June 2026, 4pm CET, online
ℹ️https://dhistory.hypotheses.org/13693 -
📯#DigitalHistoryOFK: Adrian Wüthrich (TU Berlin) presents “Network Epistemology in Practice”.
How are theories of network epistemology reflected in historical scientific practice? The NEPI project uses born-digital sources from large research collaborations (like CERN's ATLAS) to study knowledge production through computational analysis.
📅10 June 2026, 4pm CET, online
ℹ️https://dhistory.hypotheses.org/13693 -
On 17 June, Sheena Bartscherer will be reporting online on her new project, “Reforming Science”.
The project is looking to investigate the different actors who are currently, but also historically advocating for science reforms, how they discuss these matters publicly, how critiques are interacted with, and how they organise themselves.Further information and registration details can be found here: https://www.eventbrite.co.uk/e/metascience-research-seminar-dr-sheena-f-bartscherer-tickets-1989914011375
#Metascience #ScienceReform #NetworkAnalysis #SocualMediaAnalysis #LIS -
On 17 June, Sheena Bartscherer will be reporting online on her new project, “Reforming Science”.
The project is looking to investigate the different actors who are currently, but also historically advocating for science reforms, how they discuss these matters publicly, how critiques are interacted with, and how they organise themselves.Further information and registration details can be found here: https://www.eventbrite.co.uk/e/metascience-research-seminar-dr-sheena-f-bartscherer-tickets-1989914011375
#Metascience #ScienceReform #NetworkAnalysis #SocualMediaAnalysis #LIS -
Anyone that loves solving problems using graph theory? I am working on a domain specific programming language that works within a graph/network and would love some feedback from diverse fields.
#graphtheory #graphThinking #networkanalysis #programming #programminglanguages
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City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
Capture File Forensics 5.0 has been released.
Uncover the security, performance, and configuration issues lurking in your capture files.
#NetworkAnalysis #pcap #networking #network #cyber #security #Wireshark -
City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
Wer hat die Möglichkeit, Datenauswertungen für einzelne X-Accounts vorzunehmen? Würde gerne mal den anonymen X-Handle "@Faktinator" unter die Lupe nehmen. Verbreitet die rechtswidrige Bundespolizei-PM - und auf eine Meldung hin hat X binnen einer (!) Minute automatisiert (?) entschieden, dass kein Verstoß vorliege. Ich halte "Faktinator" für einen anonymen rechten Troll-Account mit Nähe zur Deutschen Polizeigewerkschaft. #SocialMedia #X #networkanalysis #Medien
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Wer hat die Möglichkeit, Datenauswertungen für einzelne X-Accounts vorzunehmen? Würde gerne mal den anonymen X-Handle "@Faktinator" unter die Lupe nehmen. Verbreitet die rechtswidrige Bundespolizei-PM - und auf eine Meldung hin hat X binnen einer (!) Minute automatisiert (?) entschieden, dass kein Verstoß vorliege. Ich halte "Faktinator" für einen anonymen rechten Troll-Account mit Nähe zur Deutschen Polizeigewerkschaft. #SocialMedia #X #networkanalysis #Medien
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Historical Network Research Conference 2026 - conference program is online:
🌐 https://historicalnetworkresearch.github.io/turin/program/
#HNR2026 #turin #hnr #network #networkanalysis #dh #digitalhumanities
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Historical Network Research Conference 2026 - conference program is online:
🌐 https://historicalnetworkresearch.github.io/turin/program/
#HNR2026 #turin #hnr #network #networkanalysis #dh #digitalhumanities
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Capture File Forensics 4.4 has been released.
Uncover the security, performance, and configuration issues lurking in your capture files.
#NetworkAnalysis #pcap #networking #network #cyber #security #Wireshark -
This week for #TrainingTuesday, Daniil Skorinkin from the CLS-INFRA project, introduces the fundamentals of #NetworkAnalysis for #HumanitiesScholars
➡️ Check out this online workshop: https://campus.dariah.eu/resources/events/introduction-to-network-analysis-in-the-humanities
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The international edition of our study on the Ahu–Moai systems of Rapa Nui is now available. It presents a network‑based structural model that reconstructs the functional organization of the island’s monumental architecture and its systemic interdependencies.
https://doi.org/10.5281/zenodo.18427519
#AhuMoai #Moai #EasterIsland #Archaeology #CulturalHistory #CulturalHeritage #NetworkAnalysis #SMSA
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Very happy about the chance to explore some technological & conceptual aspects of
🔜 "Researching Historical-Biographical Information in Digital Scholarly Editions through Event-Oriented Affiliation Networks"
at @HNR conference 2026 in #Turin #Torino. 🇮🇹
#tei #xml #python #networkanalysis #network #dse #sde #dh #digitalhumanities @TEIConsortium @fwf @ACDHCH_OeAW
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Very happy about the chance to explore some technological & conceptual aspects of
🔜 "Researching Historical-Biographical Information in Digital Scholarly Editions through Event-Oriented Affiliation Networks"
at @HNR conference 2026 in #Turin #Torino. 🇮🇹
#tei #xml #python #networkanalysis #network #dse #sde #dh #digitalhumanities @TEIConsortium @fwf @ACDHCH_OeAW
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🐟🎶 Wow, "Babyshark" is here to show that #Wireshark needed a #cutesy terminal UI because, clearly, network analysis wasn’t fun enough without #emojis and a dance routine! 🤦♂️ GitHub's new baby toy promises to streamline your PCAP experience, ensuring every packet is *adorable* while you ponder if we really needed yet another reason to procrastinate. 📉✨
https://github.com/vignesh07/babyshark #Babyshark #terminalUI #networkanalysis #procrastination #HackerNews #ngated -
🐟🎶 Wow, "Babyshark" is here to show that #Wireshark needed a #cutesy terminal UI because, clearly, network analysis wasn’t fun enough without #emojis and a dance routine! 🤦♂️ GitHub's new baby toy promises to streamline your PCAP experience, ensuring every packet is *adorable* while you ponder if we really needed yet another reason to procrastinate. 📉✨
https://github.com/vignesh07/babyshark #Babyshark #terminalUI #networkanalysis #procrastination #HackerNews #ngated -
Babyshark – Wireshark made easy (terminal UI for PCAPs)
https://github.com/vignesh07/babyshark
#HackerNews #Babyshark #Wireshark #PCAP #terminalUI #networkanalysis
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Babyshark – Wireshark made easy (terminal UI for PCAPs)
https://github.com/vignesh07/babyshark
#HackerNews #Babyshark #Wireshark #PCAP #terminalUI #networkanalysis
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Capture File Forensics 4.3 has been released.
Uncover the security, performance, and configuration issues lurking in your capture files.
#NetworkAnalysis #pcap #networking #network #cyber #security #Wireshark -
Reverse Engineering a Mysterious UDP Stream in My Hotel (2016)
https://www.gkbrk.com/hotel-music
#HackerNews #ReverseEngineering #UDPStream #HotelMystery #TechExploration #NetworkAnalysis
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Reverse Engineering a Mysterious UDP Stream in My Hotel (2016)
https://www.gkbrk.com/hotel-music
#HackerNews #ReverseEngineering #UDPStream #HotelMystery #TechExploration #NetworkAnalysis
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📦 affiliation-builder v0.2.0: a #Python package for creating bipartite affiliation networks from #JSON using #NetworkX.
🌐 https://pypi.org/project/affiliation-builder/
Generic enough for any affiliation data you throw at it, but I'm developing it specifically as part of a workflow that makes #TEI listEvent accessible to #networkanalysis. More soon ...
Feedback welcome!
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📦 affiliation-builder v0.2.0: a #Python package for creating bipartite affiliation networks from #JSON using #NetworkX.
🌐 https://pypi.org/project/affiliation-builder/
Generic enough for any affiliation data you throw at it, but I'm developing it specifically as part of a workflow that makes #TEI listEvent accessible to #networkanalysis. More soon ...
Feedback welcome!
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The #CallForPapers for the #HistoricalNetworkResearch conference #HNR2026 has been extended to Dec. 21! So still some time to submit something and visit beautiful Turin. https://historicalnetworkresearch.github.io/turin/cfp/ #DigitalHumanities #NetworkAnalysis
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The #CallForPapers for the #HistoricalNetworkResearch conference #HNR2026 has been extended to Dec. 21! So still some time to submit something and visit beautiful Turin. https://historicalnetworkresearch.github.io/turin/cfp/ #DigitalHumanities #NetworkAnalysis
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We’ve published new research from the EU co-funded project NGSOTI: “Learning from large-scale IPv4 blackhole: Behavioral analysis of SNMP traffic”.
Over a 12-month period (Nov 2024–Oct 2025), our network telescope captured ~634 million unsolicited SNMP queries from more than 153,000 unique IPv4 sources scanning an unused /18 block.
The origins of the traffic are globally distributed, with notable concentrations from Indonesia, China, the United States, Germany, Chile and others, as well as a few outliers generating unusually high volumes. A significant portion of the scanning activity can also be attributed to infrastructure belonging to commercial threat-intelligence and scanning companies, providing useful context on what constitutes “expected” background noise.
The analysis covers SNMP version usage (v1/v2c overwhelmingly dominant, minimal v3), community-string patterns (default, weak, and undocumented strings), and OIDs that point to which device vendors are most scanned.
This dataset provides insight into real-world reconnaissance trends targeting SNMP-capable infrastructure, helping defenders better understand background noise and scanning behaviours.
🔗 Full report: https://d4-project.org/2025/11/27/Learning-from-Large-Scale-IPv4-blackhole-behavioral-analysis-of-SNMP-traffic.html
🔗 PDF version: https://d4-project.org/assets/behavioral-analysis-of-snmp-traffic.pdf
Co-funded by European Cybersecurity Competence Centre (ECCC) under the NGSOTI project.
#cybersecurity #networkanalysis #cybersecurity #snmp #network #internet #dfir
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We’ve published new research from the EU co-funded project NGSOTI: “Learning from large-scale IPv4 blackhole: Behavioral analysis of SNMP traffic”.
Over a 12-month period (Nov 2024–Oct 2025), our network telescope captured ~634 million unsolicited SNMP queries from more than 153,000 unique IPv4 sources scanning an unused /18 block.
The origins of the traffic are globally distributed, with notable concentrations from Indonesia, China, the United States, Germany, Chile and others, as well as a few outliers generating unusually high volumes. A significant portion of the scanning activity can also be attributed to infrastructure belonging to commercial threat-intelligence and scanning companies, providing useful context on what constitutes “expected” background noise.
The analysis covers SNMP version usage (v1/v2c overwhelmingly dominant, minimal v3), community-string patterns (default, weak, and undocumented strings), and OIDs that point to which device vendors are most scanned.
This dataset provides insight into real-world reconnaissance trends targeting SNMP-capable infrastructure, helping defenders better understand background noise and scanning behaviours.
🔗 Full report: https://d4-project.org/2025/11/27/Learning-from-Large-Scale-IPv4-blackhole-behavioral-analysis-of-SNMP-traffic.html
🔗 PDF version: https://d4-project.org/assets/behavioral-analysis-of-snmp-traffic.pdf
Co-funded by European Cybersecurity Competence Centre (ECCC) under the NGSOTI project.
#cybersecurity #networkanalysis #cybersecurity #snmp #network #internet #dfir
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Last week I participated in #SANS Veterans Day #CTF🚩
After two days of competition, I solved 43 of 45 challenges and luckily won this contest.
As a #network analyst, I especially enjoyed the challenge fx01 (File analysis eXtreme level): a PCAP with a custom protocol
https://www.sans.org/mlp/veterans-day-ctf
#cybersecurity #blueteam #dfir #pentest #reverseengineering #exploitation #networkanalysis
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Last week I participated in #SANS Veterans Day #CTF🚩
After two days of competition, I solved 43 of 45 challenges and luckily won this contest.
As a #network analyst, I especially enjoyed the challenge fx01 (File analysis eXtreme level): a PCAP with a custom protocol
https://www.sans.org/mlp/veterans-day-ctf
#cybersecurity #blueteam #dfir #pentest #reverseengineering #exploitation #networkanalysis
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Explore the latest in network analysis with Gerald Combs (@geraldcombs) creator of Wireshark, in the keynote “What’s New in Wireshark 4.6.”
https://www.youtube.com/watch?v=F0JDgQ3t0jg
Recorded live at SharkFest’25 EUROPE in Warsaw, this session dives into the newest features, performance improvements, and shaping Wireshark’s future. Watch now and see how Wireshark continues to lead the world in protocol analysis.
Become a YouTube Member for access to the full library of SharkFest sessions and exclusive technical talks: https://www.youtube.com/channel/UCHBY7sUVdWK4bOSe7khG0UA/join
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Explore the latest in network analysis with Gerald Combs (@geraldcombs) creator of Wireshark, in the keynote “What’s New in Wireshark 4.6.”
https://www.youtube.com/watch?v=F0JDgQ3t0jg
Recorded live at SharkFest’25 EUROPE in Warsaw, this session dives into the newest features, performance improvements, and shaping Wireshark’s future. Watch now and see how Wireshark continues to lead the world in protocol analysis.
Become a YouTube Member for access to the full library of SharkFest sessions and exclusive technical talks: https://www.youtube.com/channel/UCHBY7sUVdWK4bOSe7khG0UA/join
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WormHole𝑀 achieves massive speed and efficiency gains over MLL, completing complex graph setups faster and at lower computational cost. https://hackernoon.com/a-faster-more-efficient-approach-to-large-scale-graph-computation #networkanalysis
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WormHole𝑀 achieves massive speed and efficiency gains over MLL, completing complex graph setups faster and at lower computational cost. https://hackernoon.com/a-faster-more-efficient-approach-to-large-scale-graph-computation #networkanalysis
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WormHole slashes graph query costs and setup times compared to BiBFS, PLL, and MLL, offering near-perfect accuracy with minimal resources. https://hackernoon.com/why-wormhole-could-be-the-future-of-fast-graph-queries #networkanalysis
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WormHole slashes graph query costs and setup times compared to BiBFS, PLL, and MLL, offering near-perfect accuracy with minimal resources. https://hackernoon.com/why-wormhole-could-be-the-future-of-fast-graph-queries #networkanalysis
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WormHole algorithm delivers faster, more accurate shortest path queries than BiBFS, with lower setup time and disk space use. https://hackernoon.com/wormhole-algorithm-outperforms-bibfs-in-query-efficiency-and-accuracy #networkanalysis
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WormHole achieves efficient graph routing with sublinear complexity and an O(log log n) additive error—balancing speed and precision. https://hackernoon.com/understanding-approximation-error-and-query-complexity-in-wormhole-routing #networkanalysis