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Monthly Digest. 2024 / 06

Welcome ‎to‏ ‎the ‎next ‎edition ‎of ‎our‏ ‎Monthly ‎Digest,‏ ‎your‏ ‎one-stop ‎resource ‎for‏ ‎staying ‎informed‏ ‎on ‎the ‎most ‎recent‏ ‎developments,‏ ‎insights, ‎and‏ ‎best ‎practices‏ ‎in ‎the ‎ever-evolving ‎field ‎of‏ ‎security.‏ ‎In ‎this‏ ‎issue, ‎we‏ ‎have ‎curated ‎a ‎diverse ‎collection‏ ‎of‏ ‎articles,‏ ‎news, ‎and‏ ‎research ‎findings‏ ‎tailored ‎to‏ ‎both‏ ‎professionals ‎and‏ ‎casual ‎enthusiasts. ‎Our ‎digest ‎aims‏ ‎to ‎make‏ ‎our‏ ‎content ‎is ‎both‏ ‎engaging ‎and‏ ‎accessible. ‎Happy ‎reading

Check ‎out‏ ‎PDF‏ ‎at ‎the‏ ‎end ‎of‏ ‎post

A.   ‎Maritime ‎Security

Maritime ‎cyber-security ‎is‏ ‎an‏ ‎increasingly ‎important‏ ‎area ‎of‏ ‎concern ‎for ‎the ‎maritime ‎industry,‏ ‎as‏ ‎emerging‏ ‎technologies ‎such‏ ‎as ‎the‏ ‎Internet ‎of‏ ‎Things‏ ‎(IoT), ‎digital‏ ‎twins, ‎5G, ‎and ‎Artificial ‎Intelligence‏ ‎(AI) ‎are‏ ‎becoming‏ ‎more ‎prevalent ‎in‏ ‎the ‎sector.‏ ‎The ‎convergence ‎and ‎digitization‏ ‎of‏ ‎Information ‎Technology‏ ‎(IT) ‎and‏ ‎Operational ‎Technology ‎(OT) ‎have ‎driven‏ ‎the‏ ‎transformation ‎of‏ ‎digital ‎supply‏ ‎routes ‎and ‎maritime ‎operations, ‎expanding‏ ‎cyber-threat‏ ‎surfaces.

1)      Key‏ ‎Points

·        Increased ‎marine‏ ‎traffic ‎and‏ ‎larger ‎ships‏ ‎with‏ ‎more ‎capacity‏ ‎have ‎led ‎to ‎challenges ‎in‏ ‎maneuvering ‎in‏ ‎existing‏ ‎channels ‎and ‎seaports,‏ ‎lowering ‎safety‏ ‎margins ‎during ‎cyber-incidents. ‎Today’s‏ ‎ships‏ ‎are ‎also‏ ‎more ‎heavily‏ ‎instrumented, ‎increasing ‎the ‎threat ‎surface‏ ‎for‏ ‎cyber-attacks.

·        The ‎US‏ ‎Coast ‎Guard‏ ‎reported ‎a ‎68% ‎increase ‎in‏ ‎marine‏ ‎cyber-incidents,‏ ‎and ‎recent‏ ‎studies ‎show‏ ‎that ‎cyber‏ ‎risks‏ ‎within ‎marine‏ ‎and ‎maritime ‎technology ‎are ‎present‏ ‎and ‎growing‏ ‎as‏ ‎new ‎solutions ‎are‏ ‎adopted.

·        While ‎digitization‏ ‎in ‎shipping ‎offers ‎productivity‏ ‎gains,‏ ‎physical ‎safety,‏ ‎lower ‎carbon‏ ‎footprints, ‎higher ‎efficiency, ‎lower ‎costs,‏ ‎and‏ ‎flexibility, ‎there‏ ‎are ‎vulnerabilities‏ ‎in ‎large ‎CPS ‎sensor ‎networks‏ ‎and‏ ‎communication‏ ‎systems.

·        A ‎survey‏ ‎of ‎mariners‏ ‎found ‎that‏ ‎64%‏ ‎of ‎respondents‏ ‎believed ‎that ‎a ‎port ‎had‏ ‎already ‎experienced‏ ‎significant‏ ‎physical ‎damage ‎caused‏ ‎by ‎a‏ ‎cyber ‎security ‎incident, ‎and‏ ‎56%‏ ‎thought ‎a‏ ‎merchant ‎vessel‏ ‎had ‎already ‎experienced ‎significant ‎physical‏ ‎damage‏ ‎caused ‎by‏ ‎a ‎cyber‏ ‎security ‎incident.

2)      Secondary ‎Points

·        Emerging ‎Technologies: The ‎maritime‏ ‎sector‏ ‎is‏ ‎adopting ‎new‏ ‎technologies ‎across‏ ‎offices, ‎ships,‏ ‎seaports,‏ ‎offshore ‎structures,‏ ‎and ‎more. ‎These ‎technologies ‎include‏ ‎the ‎Internet‏ ‎of‏ ‎Things ‎(IoT), ‎digital‏ ‎twins, ‎5G,‏ ‎and ‎Artificial ‎Intelligence ‎(AI).

·        Supply‏ ‎Chain‏ ‎Digitization: Supply ‎chains‏ ‎are ‎also‏ ‎using ‎more ‎Information ‎Technology ‎(IT),‏ ‎introducing‏ ‎digital ‎vulnerabilities.‏ ‎The ‎convergence‏ ‎of ‎IT ‎and ‎Operational ‎Technology‏ ‎(OT)‏ ‎is‏ ‎transforming ‎digital‏ ‎supply ‎routes‏ ‎and ‎maritime‏ ‎operations,‏ ‎expanding ‎cyber-threat‏ ‎surfaces.

·        Cyber ‎Threats: Nation-state ‎actors ‎and ‎organized‏ ‎crime ‎have‏ ‎the‏ ‎resources ‎and ‎motivation‏ ‎to ‎trigger‏ ‎a ‎cyber-attack ‎on ‎Critical‏ ‎National‏ ‎Infrastructure ‎(CNI),‏ ‎such ‎as‏ ‎large-scale ‎Cyber-Physical ‎Systems, ‎which ‎include‏ ‎maritime‏ ‎operations.

·        Cyber-Physical ‎Systems: The‏ ‎integration ‎of‏ ‎physical ‎processes ‎with ‎software ‎and‏ ‎communication‏ ‎networks,‏ ‎known ‎as‏ ‎Cyber-Physical ‎Systems,‏ ‎is ‎a‏ ‎significant‏ ‎part ‎of‏ ‎the ‎maritime ‎sector’s ‎digital ‎transformation.‏ ‎However, ‎it‏ ‎also‏ ‎introduces ‎new ‎cybersecurity‏ ‎challenges.

·        Impact ‎of‏ ‎Cyber-Attacks: Cyber-attacks ‎on ‎maritime ‎infrastructure‏ ‎can‏ ‎have ‎significant‏ ‎economic ‎impacts,‏ ‎affecting ‎not ‎only ‎the ‎targeted‏ ‎seaport‏ ‎but ‎also‏ ‎the ‎broader‏ ‎global ‎maritime ‎ecosystem ‎and ‎supply‏ ‎chains.

B.‏   ‎Choosing‏ ‎Secure ‎and‏ ‎Verifiable ‎Technologies

The‏ ‎document ‎«Choosing‏ ‎Secure‏ ‎and ‎Verifiable‏ ‎Technologies» ‎provides ‎comprehensive ‎guidance ‎for‏ ‎organizations ‎on‏ ‎procuring‏ ‎digital ‎products ‎and‏ ‎services ‎with‏ ‎a ‎focus ‎on ‎security‏ ‎from‏ ‎the ‎design‏ ‎phase ‎through‏ ‎the ‎lifecycle ‎of ‎the ‎technology.‏ ‎It‏ ‎emphasizes ‎the‏ ‎critical ‎importance‏ ‎of ‎selecting ‎technologies ‎that ‎are‏ ‎inherently‏ ‎secure‏ ‎to ‎protect‏ ‎user ‎privacy‏ ‎and ‎data‏ ‎against‏ ‎the ‎increasing‏ ‎number ‎of ‎cyber ‎threats. ‎It‏ ‎outlines ‎the‏ ‎responsibility‏ ‎of ‎customers ‎to‏ ‎evaluate ‎the‏ ‎security, ‎suitability, ‎and ‎associated‏ ‎risks‏ ‎of ‎digital‏ ‎products ‎and‏ ‎services. ‎It ‎advocates ‎for ‎a‏ ‎shift‏ ‎towards ‎products‏ ‎and ‎services‏ ‎that ‎are ‎secure-by-design ‎and ‎secure-by-default,‏ ‎highlighting‏ ‎the‏ ‎benefits ‎of‏ ‎an ‎approach,‏ ‎including ‎enhanced‏ ‎resilience,‏ ‎reduced ‎risks,‏ ‎and ‎lower ‎costs ‎related ‎to‏ ‎patching ‎and‏ ‎incident‏ ‎response.

1)      Audience

·        Organizations ‎that ‎procure‏ ‎and ‎leverage‏ ‎digital ‎products ‎and ‎services: This‏ ‎encompasses‏ ‎a ‎wide‏ ‎range ‎of‏ ‎entities ‎known ‎as ‎procuring ‎organizations,‏ ‎purchasers,‏ ‎consumers, ‎and‏ ‎customers. ‎These‏ ‎organizations ‎are ‎the ‎main ‎focus‏ ‎of‏ ‎the‏ ‎guidance ‎provided‏ ‎in ‎the‏ ‎document, ‎aiming‏ ‎to‏ ‎enhance ‎their‏ ‎decision-making ‎process ‎in ‎procuring ‎digital‏ ‎technologies.

·        Manufacturers ‎of‏ ‎digital‏ ‎products ‎and ‎services: The‏ ‎document ‎also‏ ‎addresses ‎the ‎manufacturers ‎of‏ ‎digital‏ ‎technologies, ‎providing‏ ‎them ‎with‏ ‎insights ‎into ‎secure-by-design ‎considerations. ‎This‏ ‎is‏ ‎intended ‎to‏ ‎guide ‎manufacturers‏ ‎in ‎developing ‎technologies ‎that ‎meet‏ ‎the‏ ‎security‏ ‎expectations ‎of‏ ‎their ‎customers.

·        Organization‏ ‎Executives ‎and‏ ‎Senior‏ ‎Managers: Leaders ‎who‏ ‎play ‎a ‎crucial ‎role ‎in‏ ‎decision-making ‎and‏ ‎strategy‏ ‎formulation ‎for ‎their‏ ‎organizations.

·        Cyber ‎Security‏ ‎Personnel ‎and ‎Security ‎Policy‏ ‎Personnel: Individuals‏ ‎responsible ‎for‏ ‎ensuring ‎the‏ ‎security ‎of ‎digital ‎technologies ‎within‏ ‎their‏ ‎organizations.

·        Product ‎Development‏ ‎Teams: Those ‎involved‏ ‎in ‎the ‎creation ‎and ‎development‏ ‎of‏ ‎digital‏ ‎products ‎and‏ ‎services, ‎ensuring‏ ‎these ‎offerings‏ ‎are‏ ‎secure ‎by‏ ‎design.

·        Risk ‎Advisers ‎and ‎Procurement ‎Specialists: Professionals‏ ‎who ‎advise‏ ‎on‏ ‎risk ‎management ‎and‏ ‎specialize ‎in‏ ‎the ‎procurement ‎process, ‎ensuring‏ ‎that‏ ‎digital ‎technologies‏ ‎procured ‎do‏ ‎not ‎pose ‎undue ‎risks ‎to‏ ‎the‏ ‎organization.

C.    ‎Europol‏ ‎Cybercrime ‎Training‏ ‎Competency ‎Framework ‎2024


The ‎Europol ‎Cybercrime‏ ‎Training‏ ‎Competency‏ ‎Framework ‎2024‏ ‎encompasses ‎a‏ ‎wide ‎range‏ ‎of‏ ‎documents ‎related‏ ‎to ‎cybercrime ‎training, ‎competency ‎frameworks,‏ ‎strategies, ‎and‏ ‎legislation.‏ ‎These ‎materials ‎(as‏ ‎compilation ‎by‏ ‎Europol) ‎collectively ‎aim ‎to‏ ‎enhance‏ ‎the ‎capabilities‏ ‎of ‎law‏ ‎enforcement, ‎judiciary, ‎and ‎other ‎stakeholders‏ ‎in‏ ‎combating ‎cybercrime‏ ‎effectively.

·           Purpose ‎of‏ ‎the ‎Framework: The ‎framework ‎aims ‎to‏ ‎identify‏ ‎the‏ ‎required ‎skill‏ ‎sets ‎for‏ ‎key ‎actors‏ ‎involved‏ ‎in ‎combating‏ ‎cybercrime.

·           Development ‎Process: The ‎framework ‎was ‎developed‏ ‎following ‎a‏ ‎multi-stakeholder‏ ‎consultation ‎process. ‎This‏ ‎included ‎contributions‏ ‎from ‎various ‎European ‎bodies‏ ‎such‏ ‎as ‎CEPOL,‏ ‎ECTEG, ‎Eurojust,‏ ‎EJCN, ‎and ‎EUCTF.

·           Strategic ‎Context: The ‎renewed‏ ‎framework‏ ‎is ‎part‏ ‎of ‎the‏ ‎European ‎Commission’s ‎action ‎plan ‎aimed‏ ‎at‏ ‎enhancing‏ ‎the ‎capacity‏ ‎and ‎capabilities‏ ‎of ‎law‏ ‎enforcement‏ ‎authorities ‎in‏ ‎digital ‎investigations.

·        Functional ‎Competences: The ‎framework ‎identifies‏ ‎the ‎essential‏ ‎functional‏ ‎competences ‎required ‎by‏ ‎law ‎enforcement‏ ‎authorities ‎to ‎effectively ‎combat‏ ‎cybercrime.‏ ‎It ‎emphasizes‏ ‎the ‎specific‏ ‎skills ‎needed ‎for ‎cybercrime ‎investigations‏ ‎and‏ ‎handling ‎digital‏ ‎evidence, ‎rather‏ ‎than ‎general ‎law ‎enforcement ‎skills.

·        Strategic‏ ‎Capacity‏ ‎Building: The‏ ‎framework ‎is‏ ‎intended ‎as‏ ‎a ‎tool‏ ‎for‏ ‎strategic ‎capacity‏ ‎building ‎within ‎law ‎enforcement ‎and‏ ‎judicial ‎institutions.‏ ‎It‏ ‎aims ‎to ‎enhance‏ ‎the ‎competencies‏ ‎that ‎are ‎crucial ‎for‏ ‎the‏ ‎effective ‎handling‏ ‎of ‎cybercrime‏ ‎cases.

·        Role ‎Descriptions: Detailed ‎descriptions ‎of ‎the‏ ‎main‏ ‎functions ‎and‏ ‎skill ‎sets‏ ‎for ‎various ‎roles ‎are ‎provided‏ ‎throughout‏ ‎the‏ ‎framework. ‎These‏ ‎roles ‎include‏ ‎heads ‎of‏ ‎cybercrime‏ ‎units, ‎team‏ ‎leaders, ‎general ‎criminal ‎investigators, ‎cybercrime‏ ‎analysts, ‎and‏ ‎specialized‏ ‎experts ‎among ‎others.‏ ‎Each ‎role‏ ‎is ‎tailored ‎to ‎address‏ ‎specific‏ ‎aspects ‎of‏ ‎cybercrime ‎and‏ ‎digital ‎evidence ‎handling.

·        Skill ‎Sets ‎and‏ ‎Levels: The‏ ‎framework ‎outlines‏ ‎specific ‎skill‏ ‎sets ‎required ‎for ‎each ‎role‏ ‎and‏ ‎the‏ ‎desired ‎levels‏ ‎of ‎proficiency.‏ ‎These ‎skill‏ ‎sets‏ ‎include ‎digital‏ ‎forensics, ‎network ‎investigation, ‎programming, ‎and‏ ‎cybercrime ‎legislation,‏ ‎among‏ ‎others. ‎The ‎framework‏ ‎emphasizes ‎the‏ ‎importance ‎of ‎having ‎tailored‏ ‎skills‏ ‎that ‎are‏ ‎directly ‎applicable‏ ‎to ‎the ‎challenges ‎of ‎cybercrime.

D.‏   ‎Market‏ ‎Insights. ‎Simple‏ ‎Solutions ‎Are‏ ‎Just ‎Too ‎Cheap, ‎Spending ‎More‏ ‎is‏ ‎Always‏ ‎Better

Message ‎brokers‏ ‎are ‎essential‏ ‎components ‎in‏ ‎modern‏ ‎distributed ‎systems,‏ ‎enabling ‎seamless ‎communication ‎between ‎applications,‏ ‎services, ‎and‏ ‎devices.‏ ‎They ‎act ‎as‏ ‎intermediaries ‎that‏ ‎validate, ‎store, ‎route, ‎and‏ ‎deliver‏ ‎messages, ‎ensuring‏ ‎reliable ‎and‏ ‎efficient ‎data ‎exchange ‎across ‎diverse‏ ‎platforms‏ ‎and ‎programming‏ ‎languages. ‎This‏ ‎functionality ‎is ‎crucial ‎for ‎maintaining‏ ‎the‏ ‎decoupling‏ ‎of ‎processes‏ ‎and ‎services,‏ ‎which ‎enhances‏ ‎system‏ ‎scalability, ‎performance,‏ ‎and ‎fault ‎tolerance.

Major ‎players ‎in‏ ‎this ‎market‏ ‎include‏ ‎Kinesis, ‎Cisco ‎IoT,‏ ‎Solace, ‎RabbitMQ,‏ ‎Apache ‎Kafka, ‎ApacheMQ, ‎IBM‏ ‎MQ,‏ ‎Microsoft ‎Azure‏ ‎Service ‎Bus,‏ ‎and ‎Google ‎Cloud ‎IoT, ‎each‏ ‎offering‏ ‎unique ‎capabilities‏ ‎and ‎serving‏ ‎a ‎wide ‎range ‎of ‎industries‏ ‎from‏ ‎financial‏ ‎services ‎to‏ ‎healthcare ‎and‏ ‎smart ‎cities.

·        Market‏ ‎Share: The‏ ‎percentage ‎each‏ ‎broker ‎holds ‎in ‎the ‎queueing,‏ ‎messaging, ‎and‏ ‎processing‏ ‎category.

·        Number ‎of ‎Users: The‏ ‎total ‎number‏ ‎of ‎companies ‎or ‎devices‏ ‎using‏ ‎the ‎broker.

·        Corporate‏ ‎Users: The ‎number‏ ‎of ‎enterprise ‎customers ‎using ‎the‏ ‎broker.

·        Revenue‏ ‎Distribution: The ‎distribution‏ ‎of ‎companies‏ ‎using ‎the ‎broker ‎based ‎on‏ ‎their‏ ‎revenue.

·        Geographical‏ ‎Coverage: The ‎percentage‏ ‎of ‎users‏ ‎based ‎in‏ ‎different‏ ‎regions.

E.   ‎Cybersecurity‏ ‎& ‎Antarctica

In ‎April, ‎the ‎U.S.‏ ‎National ‎Science‏ ‎Foundation‏ ‎(NSF) ‎announced ‎that‏ ‎it ‎would‏ ‎not ‎support ‎any ‎new‏ ‎field‏ ‎research ‎this‏ ‎season ‎due‏ ‎to ‎delays ‎in ‎upgrading ‎the‏ ‎McMurdo‏ ‎Station. ‎The‏ ‎NSF ‎and‏ ‎the ‎U.S. ‎Coast ‎Guard ‎also‏ ‎announced‏ ‎cuts‏ ‎that ‎will‏ ‎jeopardize ‎the‏ ‎U.S.'s ‎scientific‏ ‎and‏ ‎geopolitical ‎interests‏ ‎in ‎the ‎region ‎for ‎decades‏ ‎to ‎come.‏ ‎Specifically,‏ ‎in ‎April, ‎the‏ ‎NSF ‎announced‏ ‎that ‎it ‎would ‎not‏ ‎renew‏ ‎the ‎lease‏ ‎of ‎one‏ ‎of ‎its ‎two ‎Antarctic ‎research‏ ‎vessels,‏ ‎the ‎Laurence‏ ‎M. ‎Gould.‏ ‎Prior ‎to ‎this, ‎in ‎October‏ ‎2023,‏ ‎the‏ ‎NSF ‎announced‏ ‎that ‎it‏ ‎would ‎operate‏ ‎only‏ ‎one ‎research‏ ‎vessel ‎in ‎the ‎coming ‎decades.

Additionally,‏ ‎in ‎March,‏ ‎the‏ ‎U.S. ‎Coast ‎Guard‏ ‎announced ‎that‏ ‎it ‎needed ‎to ‎«reassess‏ ‎baseline‏ ‎metrics» ‎for‏ ‎its ‎long-delayed‏ ‎Polar ‎Security ‎Cutter ‎program, ‎a‏ ‎vital‏ ‎program ‎for‏ ‎U.S. ‎national‏ ‎interests ‎at ‎both ‎poles. ‎Decisions‏ ‎made‏ ‎today‏ ‎will ‎have‏ ‎serious ‎consequences‏ ‎for ‎U.S.‏ ‎activities‏ ‎in ‎Antarctica‏ ‎well ‎beyond ‎2050.

The ‎State ‎Department‏ ‎has ‎refrained‏ ‎from‏ ‎announcing ‎U.S. ‎foreign‏ ‎policy ‎interests‏ ‎in ‎the ‎Antarctic ‎region,‏ ‎and‏ ‎the ‎White‏ ‎House ‎appears‏ ‎satisfied ‎with ‎an ‎outdated ‎and‏ ‎inconsistent‏ ‎national ‎strategy‏ ‎for ‎Antarctica‏ ‎from ‎the ‎last ‎century. ‎The‏ ‎U.S.‏ ‎Congress‏ ‎has ‎also‏ ‎not ‎responded‏ ‎to ‎scientists'‏ ‎calls.

As‏ ‎a ‎result,‏ ‎on ‎April ‎1, ‎the ‎NSF’s‏ ‎Office ‎of‏ ‎Polar‏ ‎Programs ‎announced ‎that‏ ‎it ‎is‏ ‎putting ‎new ‎fieldwork ‎proposals‏ ‎on‏ ‎hold ‎for‏ ‎the ‎next‏ ‎two ‎seasons ‎and ‎will ‎not‏ ‎be‏ ‎soliciting ‎new‏ ‎fieldwork ‎proposals‏ ‎in ‎Antarctica.

Ships ‎capable ‎of ‎operating‏ ‎in‏ ‎polar‏ ‎seas ‎are‏ ‎becoming ‎increasingly‏ ‎in ‎demand‏ ‎and‏ ‎difficult ‎to‏ ‎build. ‎Facing ‎significant ‎challenges ‎in‏ ‎the ‎ice-class‏ ‎ship‏ ‎and ‎vessel ‎project,‏ ‎the ‎U.S.‏ ‎Coast ‎Guard ‎announced ‎in‏ ‎March‏ ‎that ‎it‏ ‎would ‎«shift‏ ‎baseline ‎timelines» ‎for ‎developing ‎new‏ ‎icebreaker‏ ‎projects.

The ‎outcome‏ ‎of ‎these‏ ‎seemingly ‎independent ‎decisions ‎will ‎be‏ ‎a‏ ‎reduction‏ ‎in ‎the‏ ‎U.S. ‎physical‏ ‎presence ‎in‏ ‎Antarctica.‏ ‎This ‎will‏ ‎have ‎negative ‎consequences ‎not ‎only‏ ‎for ‎American‏ ‎scientists‏ ‎but ‎also ‎for‏ ‎U.S. ‎geopolitics‏ ‎in ‎the ‎region, ‎especially‏ ‎considering‏ ‎Russia’s ‎total‏ ‎superiority ‎in‏ ‎icebreaker ‎vessels ‎and ‎China’s ‎catching‏ ‎up.

The‏ ‎U.S. ‎has‏ ‎missed ‎the‏ ‎most ‎important ‎aspects: ‎adequate ‎and‏ ‎regular‏ ‎funding‏ ‎for ‎Antarctic‏ ‎scientific ‎research,‏ ‎a ‎new‏ ‎national‏ ‎strategy ‎for‏ ‎Antarctica ‎(the ‎current ‎strategy ‎was‏ ‎published ‎in‏ ‎June‏ ‎1994), ‎and ‎lawmakers'‏ ‎understanding ‎of‏ ‎the ‎importance ‎of ‎U.S.‏ ‎interests‏ ‎and ‎decisions‏ ‎in ‎Antarctica.‏ ‎The ‎inability ‎to ‎fund ‎the‏ ‎operational‏ ‎and ‎logistical‏ ‎support ‎necessary‏ ‎for ‎U.S. ‎scientific ‎research ‎and‏ ‎geopolitical‏ ‎influence‏ ‎effectively ‎means‏ ‎the ‎dominance‏ ‎of ‎Russia‏ ‎and‏ ‎China ‎in‏ ‎the ‎Antarctic ‎region, ‎as ‎no‏ ‎other ‎country,‏ ‎including‏ ‎traditional ‎Antarctic ‎stakeholders‏ ‎like ‎Chile,‏ ‎Australia, ‎and ‎Sweden, ‎can‏ ‎surpass‏ ‎the ‎existing‏ ‎and ‎growing‏ ‎scientific ‎potential ‎of ‎Russia ‎and‏ ‎China.

F.‏   ‎Humanoid ‎Robot

Humanoid‏ ‎robots ‎are‏ ‎advanced ‎machines ‎designed ‎to ‎mimic‏ ‎human‏ ‎form‏ ‎and ‎behavior,‏ ‎equipped ‎with‏ ‎articulated ‎limbs,‏ ‎advanced‏ ‎sensors, ‎and‏ ‎often ‎the ‎ability ‎to ‎interact‏ ‎socially. ‎These‏ ‎robots‏ ‎are ‎increasingly ‎being‏ ‎utilized ‎across‏ ‎various ‎sectors, ‎including ‎healthcare,‏ ‎education,‏ ‎industry, ‎and‏ ‎services, ‎due‏ ‎to ‎their ‎adaptability ‎to ‎human‏ ‎environments‏ ‎and ‎their‏ ‎ability ‎to‏ ‎perform ‎tasks ‎that ‎require ‎human-like‏ ‎dexterity‏ ‎and‏ ‎interaction.

In ‎healthcare,‏ ‎humanoid ‎robots‏ ‎assist ‎with‏ ‎clinical‏ ‎tasks, ‎provide‏ ‎emotional ‎support, ‎and ‎aid ‎in-patient‏ ‎rehabilitation. ‎In‏ ‎education,‏ ‎they ‎serve ‎as‏ ‎interactive ‎companions‏ ‎and ‎personal ‎tutors, ‎enhancing‏ ‎learning‏ ‎experiences ‎and‏ ‎promoting ‎social‏ ‎integration ‎for ‎children ‎with ‎special‏ ‎needs.‏ ‎The ‎industrial‏ ‎sector ‎benefits‏ ‎from ‎humanoid ‎robots ‎through ‎automation‏ ‎of‏ ‎repetitive‏ ‎and ‎hazardous‏ ‎tasks, ‎improving‏ ‎efficiency ‎and‏ ‎safety.‏ ‎Additionally, ‎in‏ ‎service ‎industries, ‎these ‎robots ‎handle‏ ‎customer ‎assistance,‏ ‎guide‏ ‎visitors, ‎and ‎perform‏ ‎maintenance ‎tasks,‏ ‎showcasing ‎their ‎versatility ‎and‏ ‎potential‏ ‎to ‎transform‏ ‎various ‎aspects‏ ‎of ‎daily ‎life.

1)      Market ‎Forecasts ‎for‏ ‎Humanoid‏ ‎Robots

The ‎humanoid‏ ‎robot ‎market‏ ‎is ‎poised ‎for ‎substantial ‎growth,‏ ‎with‏ ‎projections‏ ‎indicating ‎a‏ ‎multi-billion-dollar ‎market‏ ‎by ‎2035.‏ ‎Key‏ ‎drivers ‎include‏ ‎advancements ‎in ‎AI, ‎cost ‎reductions,‏ ‎and ‎increasing‏ ‎demand‏ ‎for ‎automation ‎in‏ ‎hazardous ‎and‏ ‎manufacturing ‎roles.

·        Goldman ‎Sachs ‎Report‏ ‎(January‏ ‎2024):

o ‎Total‏ ‎Addressable ‎Market‏ ‎(TAM): The ‎TAM ‎for ‎humanoid ‎robots‏ ‎is‏ ‎expected ‎to‏ ‎reach ‎$38‏ ‎billion ‎by ‎2035, ‎up ‎from‏ ‎an‏ ‎initial‏ ‎forecast ‎of‏ ‎$6 ‎billion.‏ ‎This ‎increase‏ ‎is‏ ‎driven ‎by‏ ‎a ‎fourfold ‎rise ‎in ‎shipment‏ ‎estimates ‎to‏ ‎1.4‏ ‎million ‎units.

o ‎Shipment‏ ‎Estimates: The ‎base‏ ‎case ‎scenario ‎predicts ‎a‏ ‎53%‏ ‎compound ‎annual‏ ‎growth ‎rate‏ ‎(CAGR) ‎from ‎2025 ‎to ‎2035,‏ ‎with‏ ‎shipments ‎reaching‏ ‎1.4 ‎million‏ ‎units ‎by ‎2035. ‎The ‎bull‏ ‎case‏ ‎scenario‏ ‎anticipates ‎shipments‏ ‎hitting ‎1‏ ‎million ‎units‏ ‎by‏ ‎2031, ‎four‏ ‎years ‎ahead ‎of ‎previous ‎expectations.

o‏ ‎Cost Reductions: The ‎Bill‏ ‎of‏ ‎Materials ‎(BOM) ‎cost‏ ‎for ‎high-spec‏ ‎robots ‎has ‎decreased ‎by‏ ‎40%‏ ‎to ‎$150,000‏ ‎per ‎unit‏ ‎in ‎2023, ‎down ‎from ‎$250,000‏ ‎the‏ ‎previous ‎year,‏ ‎due ‎to‏ ‎cheaper ‎components ‎and ‎a ‎broader‏ ‎domestic‏ ‎supply‏ ‎chain.

·        Data ‎Bridge‏ ‎Market ‎Research: The‏ ‎global ‎humanoid‏ ‎robot‏ ‎market ‎is‏ ‎expected ‎to ‎grow ‎from ‎$2.46‏ ‎billion ‎in‏ ‎2023‏ ‎to ‎$55.80 ‎billion‏ ‎by ‎2031,‏ ‎with ‎a ‎CAGR ‎of‏ ‎48,5%‏ ‎during ‎the‏ ‎forecast ‎period.

·        SkyQuestt: The‏ ‎market ‎is ‎projected ‎to ‎grow‏ ‎from‏ ‎$1.48 ‎billion‏ ‎in ‎2019‏ ‎to ‎$34.96 ‎billion ‎by ‎2031,‏ ‎with‏ ‎a‏ ‎CAGR ‎of‏ ‎42,1%.

·        GlobeNewswire: The ‎global‏ ‎market ‎for‏ ‎humanoid‏ ‎robots, ‎valued‏ ‎at ‎approximately ‎$1.3 ‎billion ‎in‏ ‎2022, ‎is‏ ‎anticipated‏ ‎to ‎expand ‎to‏ ‎$6.3 ‎billion‏ ‎by ‎2030, ‎with ‎a‏ ‎CAGR‏ ‎of ‎22,3%.

·        The‏ ‎Business ‎Research‏ ‎Company: The ‎market ‎is ‎expected ‎to‏ ‎grow‏ ‎from ‎$2.44‏ ‎billion ‎in‏ ‎2023 ‎to ‎$3.7 ‎billion ‎in‏ ‎2024,‏ ‎with‏ ‎a ‎CAGR‏ ‎of ‎51,6%.‏ ‎By ‎2028,‏ ‎the‏ ‎market ‎is‏ ‎projected ‎to ‎reach ‎$19.69 ‎billion,‏ ‎with ‎a‏ ‎CAGR‏ ‎of ‎51,9%.

·        Grand ‎View‏ ‎Research: Market ‎Size:‏ ‎The ‎global ‎humanoid ‎robot‏ ‎market‏ ‎was ‎estimated‏ ‎at ‎$1.11‏ ‎billion ‎in ‎2022 ‎and ‎is‏ ‎expected‏ ‎to ‎grow‏ ‎at ‎a‏ ‎CAGR ‎of ‎21,1% ‎from ‎2023‏ ‎to‏ ‎2030.

·        Goldman‏ ‎Sachs ‎(February‏ ‎2024): In ‎a‏ ‎blue-sky ‎scenario,‏ ‎the‏ ‎market ‎could‏ ‎reach ‎up ‎to ‎$154 ‎billion‏ ‎by ‎2035,‏ ‎comparable‏ ‎to ‎the ‎global‏ ‎electric ‎vehicle‏ ‎market ‎and ‎one-third ‎of‏ ‎the‏ ‎global ‎smartphone‏ ‎market ‎as‏ ‎of ‎2021.

·        Macquarie ‎Research: Under ‎a ‎neutral‏ ‎assumption,‏ ‎the ‎global‏ ‎humanoid ‎robot‏ ‎market ‎is ‎expected ‎to ‎reach‏ ‎$107.1‏ ‎billion‏ ‎by ‎2035,‏ ‎with ‎a‏ ‎CAGR ‎of‏ ‎71%‏ ‎from ‎2025‏ ‎to ‎2035.

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Monthly Digest. 2024 / 05 [Pro Level]

Welcome ‎to‏ ‎the ‎next ‎edition ‎of ‎our‏ ‎Monthly ‎Digest,‏ ‎your‏ ‎one-stop ‎resource ‎for‏ ‎staying ‎informed‏ ‎on ‎the ‎most ‎recent‏ ‎developments,‏ ‎insights, ‎and‏ ‎best ‎practices‏ ‎in ‎the ‎ever-evolving ‎field ‎of‏ ‎security.‏ ‎In ‎this‏ ‎issue, ‎we‏ ‎have ‎curated ‎a ‎diverse ‎collection‏ ‎of‏ ‎articles,‏ ‎news, ‎and‏ ‎research ‎findings‏ ‎tailored ‎to‏ ‎both‏ ‎professionals ‎and‏ ‎casual ‎enthusiasts. ‎Our ‎digest ‎aims‏ ‎to ‎make‏ ‎our‏ ‎content ‎is ‎both‏ ‎engaging ‎and‏ ‎accessible. ‎Happy ‎reading


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Monthly Digest. 2024 / 04

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Monthly Digest. 2024 / 06

Welcome ‎to‏ ‎the ‎next ‎edition ‎of ‎our‏ ‎Monthly ‎Digest,‏ ‎your‏ ‎one-stop ‎resource ‎for‏ ‎staying ‎informed‏ ‎on ‎the ‎most ‎recent‏ ‎developments,‏ ‎insights, ‎and‏ ‎best ‎practices‏ ‎in ‎the ‎ever-evolving ‎field ‎of‏ ‎security.‏ ‎In ‎this‏ ‎issue, ‎we‏ ‎have ‎curated ‎a ‎diverse ‎collection‏ ‎of‏ ‎articles,‏ ‎news, ‎and‏ ‎research ‎findings‏ ‎tailored ‎to‏ ‎both‏ ‎professionals ‎and‏ ‎casual ‎enthusiasts. ‎Our ‎digest ‎aims‏ ‎to ‎make‏ ‎our‏ ‎content ‎is ‎both‏ ‎engaging ‎and‏ ‎accessible. ‎Happy ‎reading

Check ‎out‏ ‎PDF‏ ‎at ‎the‏ ‎end ‎of‏ ‎post

A.   ‎AntiPhishStack

The ‎paper ‎titled ‎«LSTM-based‏ ‎Stacked‏ ‎Generalization ‎Model‏ ‎for ‎Optimized‏ ‎Phishing» ‎discusses ‎the ‎escalating ‎reliance‏ ‎on‏ ‎revolutionary‏ ‎online ‎web‏ ‎services, ‎which‏ ‎has ‎introduced‏ ‎heightened‏ ‎security ‎risks,‏ ‎with ‎persistent ‎challenges ‎posed ‎by‏ ‎phishing ‎attacks.

Phishing,‏ ‎a‏ ‎deceptive ‎method ‎through‏ ‎social ‎and‏ ‎technical ‎engineering, ‎poses ‎a‏ ‎severe‏ ‎threat ‎to‏ ‎online ‎security,‏ ‎aiming ‎to ‎obtain ‎illicit ‎user‏ ‎identities,‏ ‎personal ‎account‏ ‎details, ‎and‏ ‎bank ‎credentials. ‎It’s ‎a ‎primary‏ ‎concern‏ ‎within‏ ‎criminal ‎activity,‏ ‎with ‎phishers‏ ‎pursuing ‎objectives‏ ‎such‏ ‎as ‎selling‏ ‎stolen ‎identities, ‎extracting ‎cash, ‎exploiting‏ ‎vulnerabilities, ‎or‏ ‎deriving‏ ‎financial ‎gains.

The ‎study‏ ‎aims ‎to‏ ‎advance ‎phishing ‎detection ‎with‏ ‎operating‏ ‎without ‎prior‏ ‎phishing-specific ‎feature‏ ‎knowledge. ‎The ‎model ‎leverages ‎the‏ ‎capabilities‏ ‎of ‎Long‏ ‎Short-Term ‎Memory‏ ‎(LSTM) ‎networks, ‎a ‎type ‎of‏ ‎recurrent‏ ‎neural‏ ‎network ‎that‏ ‎is ‎capable‏ ‎of ‎learning‏ ‎order‏ ‎dependence ‎in‏ ‎sequence ‎prediction ‎problems. ‎It ‎leverages‏ ‎the ‎learning‏ ‎of‏ ‎URLs ‎and ‎character-level‏ ‎TF-IDF ‎features‏ ‎symmetrically, ‎enhancing ‎its ‎ability‏ ‎to‏ ‎combat ‎emerging‏ ‎phishing ‎threats.

B.‏   ‎NSA’s ‎panic. ‎AdaptTactics

The ‎document ‎titled‏ ‎«cyber‏ ‎actors ‎adapt‏ ‎tactics ‎for‏ ‎initial ‎cloud ‎access» ‎released ‎by‏ ‎the‏ ‎National‏ ‎Security ‎Agency‏ ‎(NSA) ‎warns‏ ‎of ‎use‏ ‎of‏ ‎cyber ‎actors‏ ‎have ‎adapted ‎their ‎tactics ‎to‏ ‎gain ‎initial‏ ‎access‏ ‎to ‎cloud ‎services,‏ ‎as ‎opposed‏ ‎to ‎exploiting ‎on-premise ‎network‏ ‎vulnerabilities.

This‏ ‎shift ‎is‏ ‎in ‎response‏ ‎to ‎organizations ‎modernizing ‎their ‎systems‏ ‎and‏ ‎moving ‎to‏ ‎cloud-based ‎infrastructure.‏ ‎The ‎high-profile ‎cyber ‎campaigns ‎like‏ ‎the‏ ‎SolarWinds‏ ‎supply ‎chain‏ ‎compromise ‎are‏ ‎now ‎expanding‏ ‎to‏ ‎sectors ‎such‏ ‎as ‎aviation, ‎education, ‎law ‎enforcement,‏ ‎local ‎and‏ ‎state‏ ‎councils, ‎government ‎financial‏ ‎departments, ‎and‏ ‎military ‎organizations.

The ‎stark ‎reality‏ ‎is‏ ‎that ‎to‏ ‎breach ‎cloud-hosted‏ ‎networks, ‎these ‎actors ‎need ‎only‏ ‎to‏ ‎authenticate ‎with‏ ‎the ‎cloud‏ ‎provider, ‎and ‎if ‎they ‎succeed,‏ ‎the‏ ‎defenses‏ ‎are ‎breached.‏ ‎The ‎document‏ ‎highlights ‎a‏ ‎particularly‏ ‎disconcerting ‎aspect‏ ‎of ‎cloud ‎environments: ‎the ‎reduced‏ ‎network ‎exposure‏ ‎compared‏ ‎to ‎on-premises ‎systems‏ ‎paradoxically ‎makes‏ ‎initial ‎access ‎a ‎more‏ ‎significant‏ ‎linchpin.

1) Key ‎findings

·        Adaptation‏ ‎to ‎Cloud‏ ‎Services: Cyber ‎actors ‎have ‎shifted ‎their‏ ‎focus‏ ‎from ‎exploiting‏ ‎on-premises ‎network‏ ‎vulnerabilities ‎to ‎directly ‎targeting ‎cloud‏ ‎services.‏ ‎This‏ ‎change ‎is‏ ‎a ‎response‏ ‎to ‎the‏ ‎modernization‏ ‎of ‎systems‏ ‎and ‎the ‎migration ‎of ‎organizational‏ ‎infrastructure ‎to‏ ‎the‏ ‎cloud.

·        Authentication ‎as ‎a‏ ‎Key Step: To ‎compromise‏ ‎cloud-hosted ‎networks, ‎cyber ‎actors‏ ‎must‏ ‎first ‎successfully‏ ‎authenticate ‎with‏ ‎the ‎cloud ‎provider. ‎Preventing ‎this‏ ‎initial‏ ‎access ‎is‏ ‎crucial ‎for‏ ‎stopping ‎from ‎compromising ‎the ‎target.

·        Expansion‏ ‎of‏ ‎Targeting: Cyber‏ ‎actors ‎have‏ ‎broadened ‎their‏ ‎targeting ‎to‏ ‎include‏ ‎sectors ‎such‏ ‎as ‎aviation, ‎education, ‎law ‎enforcement,‏ ‎local ‎and‏ ‎state‏ ‎councils, ‎government ‎financial‏ ‎departments, ‎and‏ ‎military ‎organizations. ‎This ‎expansion‏ ‎indicates‏ ‎a ‎strategic‏ ‎diversification ‎of‏ ‎targets ‎for ‎intelligence ‎gathering.

·        Use ‎of‏ ‎Service‏ ‎and ‎Dormant‏ ‎Accounts: it ‎highlights‏ ‎that ‎cyber ‎actors ‎have ‎been‏ ‎observed‏ ‎using‏ ‎brute ‎force‏ ‎attacks ‎to‏ ‎access ‎service‏ ‎and‏ ‎dormant ‎accounts‏ ‎over ‎the ‎last ‎12 ‎months.‏ ‎This ‎tactic‏ ‎allows‏ ‎to ‎gain ‎initial‏ ‎access ‎to‏ ‎cloud ‎environments.

·        Sophistication ‎of ‎cyber‏ ‎actors: The‏ ‎cyber ‎actors‏ ‎can ‎execute‏ ‎global ‎supply ‎chain ‎compromises, ‎such‏ ‎as‏ ‎the ‎2020‏ ‎SolarWinds ‎incident.

·        Defense‏ ‎through ‎Cybersecurity ‎Fundamentals: The ‎advisory ‎emphasizes‏ ‎that‏ ‎a‏ ‎strong ‎baseline‏ ‎of ‎cybersecurity‏ ‎fundamentals ‎can‏ ‎defend‏ ‎against ‎cyber‏ ‎actors. ‎For ‎organizations ‎that ‎have‏ ‎transitioned ‎to‏ ‎cloud‏ ‎infrastructure, ‎protecting ‎against‏ ‎TTPs ‎for‏ ‎initial ‎access ‎is ‎presented‏ ‎as‏ ‎a ‎first‏ ‎line ‎of‏ ‎defense.

C.   ‎NSA’s ‎panic. ‎Ubiquiti

Routers ‎to‏ ‎Facilitate‏ ‎Cyber ‎Operations»‏ ‎released ‎by‏ ‎the ‎Federal ‎Bureau ‎of ‎Investigation‏ ‎(FBI),‏ ‎National‏ ‎Security ‎Agency‏ ‎(NSA), ‎US‏ ‎Cyber ‎Command,‏ ‎and‏ ‎international ‎partners‏ ‎warns ‎of ‎use ‎of ‎compromised‏ ‎Ubiquiti ‎EdgeRouters‏ ‎to‏ ‎facilitate ‎malicious ‎cyber‏ ‎operations ‎worldwide.

The‏ ‎popularity ‎of ‎Ubiquiti ‎EdgeRouters‏ ‎is‏ ‎attributed ‎to‏ ‎their ‎user-friendly,‏ ‎Linux-based ‎operating ‎system, ‎default ‎credentials,‏ ‎and‏ ‎limited ‎firewall‏ ‎protections. ‎The‏ ‎routers ‎are ‎often ‎shipped ‎with‏ ‎insecure‏ ‎default‏ ‎configurations ‎and‏ ‎do ‎not‏ ‎automatically ‎update‏ ‎firmware‏ ‎unless ‎configured‏ ‎by ‎the ‎user.

The ‎compromised ‎EdgeRouters‏ ‎have ‎been‏ ‎used‏ ‎by ‎APT28 ‎to‏ ‎harvest ‎credentials,‏ ‎collect ‎NTLMv2 ‎digests, ‎proxy‏ ‎network‏ ‎traffic, ‎and‏ ‎host ‎spear-phishing‏ ‎landing ‎pages ‎and ‎custom ‎tools.‏ ‎APT28‏ ‎accessed ‎the‏ ‎routers ‎using‏ ‎default ‎credentials ‎and ‎trojanized ‎OpenSSH‏ ‎server‏ ‎processes.‏ ‎With ‎root‏ ‎access ‎to‏ ‎the ‎compromised‏ ‎routers,‏ ‎the ‎actors‏ ‎had ‎unfettered ‎access ‎to ‎the‏ ‎Linux-based ‎operating‏ ‎systems‏ ‎to ‎install ‎tooling‏ ‎and ‎obfuscate‏ ‎their ‎identity.

APT28 ‎also ‎deployed‏ ‎custom‏ ‎Python ‎scripts‏ ‎on ‎the‏ ‎compromised ‎routers ‎to ‎collect ‎and‏ ‎validate‏ ‎stolen ‎webmail‏ ‎account ‎credentials‏ ‎obtained ‎through ‎cross-site ‎scripting ‎and‏ ‎browser-in-the-browser‏ ‎spear-phishing‏ ‎campaigns. ‎Additionally,‏ ‎they ‎exploited‏ ‎a ‎critical‏ ‎zero-day‏ ‎elevation-of-privilege ‎vulnerability‏ ‎in ‎Microsoft ‎Outlook ‎(CVE-2023-23397) ‎to‏ ‎collect ‎NTLMv2‏ ‎digests‏ ‎from ‎targeted ‎Outlook‏ ‎accounts ‎and‏ ‎used ‎publicly ‎available ‎tools‏ ‎to‏ ‎assist ‎with‏ ‎NTLM ‎relay‏ ‎attacks

D.   ‎NSA’s ‎panic. ‎SOHO

The ‎exploitation‏ ‎of‏ ‎insecure ‎SOHO‏ ‎routers ‎by‏ ‎malicious ‎cyber ‎actors, ‎particularly ‎state-sponsored‏ ‎groups,‏ ‎poses‏ ‎a ‎significant‏ ‎threat ‎to‏ ‎individual ‎users‏ ‎and‏ ‎critical ‎infrastructure.‏ ‎Manufacturers ‎are ‎urged ‎to ‎adopt‏ ‎secure ‎by‏ ‎design‏ ‎principles ‎and ‎transparency‏ ‎practices ‎to‏ ‎mitigate ‎these ‎risks, ‎while‏ ‎users‏ ‎and ‎network‏ ‎defenders ‎are‏ ‎advised ‎to ‎implement ‎best ‎practices‏ ‎for‏ ‎router ‎security‏ ‎and ‎remain‏ ‎vigilant ‎against ‎potential ‎threats.

The ‎root‏ ‎causes‏ ‎of‏ ‎insecure ‎SOHO‏ ‎routers ‎are‏ ‎multifaceted, ‎involving‏ ‎both‏ ‎technical ‎vulnerabilities‏ ‎and ‎lapses ‎in ‎secure ‎design‏ ‎and ‎development‏ ‎practices‏ ‎by ‎manufacturers, ‎as‏ ‎well ‎as‏ ‎negligence ‎on ‎the ‎part‏ ‎of‏ ‎users ‎in‏ ‎maintaining ‎router‏ ‎security.

·        Widespread ‎Vulnerabilities: A ‎significant ‎number ‎of‏ ‎vulnerabilities,‏ ‎totaling ‎226,‏ ‎have ‎been‏ ‎identified ‎in ‎popular ‎SOHO ‎router‏ ‎brands.‏ ‎These‏ ‎vulnerabilities ‎range‏ ‎in ‎severity‏ ‎but ‎collectively‏ ‎pose‏ ‎a ‎substantial‏ ‎security ‎risk.

·        Outdated ‎Components: Core ‎components ‎such‏ ‎as ‎the‏ ‎Linux‏ ‎kernel ‎and ‎additional‏ ‎services ‎like‏ ‎VPN ‎in ‎these ‎routers‏ ‎are‏ ‎outdated. ‎This‏ ‎makes ‎them‏ ‎susceptible ‎to ‎known ‎exploits ‎for‏ ‎vulnerabilities‏ ‎that ‎have‏ ‎long ‎since‏ ‎been ‎made ‎public.

·        Insecure ‎Default ‎Settings: Many‏ ‎routers‏ ‎come‏ ‎with ‎easy-to-guess‏ ‎default ‎passwords‏ ‎and ‎use‏ ‎unencrypted‏ ‎connections. ‎This‏ ‎can ‎be ‎easily ‎exploited ‎by‏ ‎attackers.

·        Lack ‎of‏ ‎Secure‏ ‎Design ‎and ‎Development: SOHO‏ ‎routers ‎often‏ ‎lack ‎basic ‎security ‎features‏ ‎due‏ ‎to ‎insecure‏ ‎design ‎and‏ ‎development ‎practices. ‎This ‎includes ‎the‏ ‎absence‏ ‎of ‎automatic‏ ‎update ‎capabilities‏ ‎and ‎the ‎presence ‎of ‎exploitable‏ ‎defects,‏ ‎particularly‏ ‎in ‎web‏ ‎management ‎interfaces.

·        Exposure‏ ‎of ‎Management‏ ‎Interfaces: Manufacturers‏ ‎frequently ‎create‏ ‎devices ‎with ‎management ‎interfaces ‎exposed‏ ‎to ‎the‏ ‎public‏ ‎internet ‎by ‎default,‏ ‎often ‎without‏ ‎notifying ‎the ‎customers ‎of‏ ‎this‏ ‎frequently ‎unsafe‏ ‎configuration.

·        Lack ‎of‏ ‎Transparency ‎and ‎Accountability: There ‎is ‎a‏ ‎need‏ ‎for ‎manufacturers‏ ‎to ‎embrace‏ ‎transparency ‎by ‎disclosing ‎product ‎vulnerabilities‏ ‎through‏ ‎the‏ ‎CVE ‎program‏ ‎and ‎accurately‏ ‎classifying ‎these‏ ‎vulnerabilities‏ ‎using ‎the‏ ‎Common ‎Weakness ‎Enumeration ‎(CWE) ‎system

·        Neglect‏ ‎of ‎Security‏ ‎in‏ ‎Favor ‎of ‎Convenience‏ ‎and ‎Features:‏ ‎Manufacturers ‎prioritize ‎ease ‎of‏ ‎use‏ ‎and ‎a‏ ‎wide ‎variety‏ ‎of ‎features ‎over ‎security, ‎leading‏ ‎to‏ ‎routers ‎that‏ ‎are ‎«secure‏ ‎enough» ‎right ‎out ‎of ‎the‏ ‎box‏ ‎without‏ ‎considering ‎the‏ ‎potential ‎for‏ ‎exploitation.

·        User ‎Negligence: Many‏ ‎users,‏ ‎including ‎IT‏ ‎professionals, ‎do ‎not ‎follow ‎basic‏ ‎security ‎practices‏ ‎such‏ ‎as ‎changing ‎default‏ ‎passwords ‎or‏ ‎updating ‎firmware, ‎leaving ‎routers‏ ‎exposed‏ ‎to ‎attacks.

·        Complexity‏ ‎in ‎Identifying‏ ‎Vulnerable ‎Devices: Identifying ‎specific ‎vulnerable ‎devices‏ ‎is‏ ‎complex ‎due‏ ‎to ‎legal‏ ‎and ‎technical ‎issues, ‎complicating ‎the‏ ‎process‏ ‎of‏ ‎mitigating ‎these‏ ‎vulnerabilities.

E.   ‎Detection‏ ‎of ‎Energy‏ ‎Consumption‏ ‎Cyber ‎Attacks‏ ‎on ‎Smart ‎Devices

The ‎paper ‎«Detection‏ ‎of ‎Energy‏ ‎Consumption‏ ‎Cyber ‎Attacks ‎on‏ ‎Smart ‎Devices»‏ ‎emphasizes ‎the ‎rapid ‎integration‏ ‎of‏ ‎IoT ‎technology‏ ‎into ‎smart‏ ‎homes, ‎highlighting ‎the ‎associated ‎security‏ ‎challenges‏ ‎due ‎to‏ ‎resource ‎constraints‏ ‎and ‎unreliable ‎networks.

·        Energy ‎Efficiency: it ‎emphasizes‏ ‎the‏ ‎significance‏ ‎of ‎energy‏ ‎efficiency ‎in‏ ‎IoT ‎systems,‏ ‎particularly‏ ‎in ‎smart‏ ‎home ‎environments ‎for ‎comfort, ‎convenience,‏ ‎and ‎security.

·        Vulnerability: it‏ ‎discusses‏ ‎the ‎vulnerability ‎of‏ ‎IoT ‎devices‏ ‎to ‎cyberattacks ‎and ‎physical‏ ‎attacks‏ ‎due ‎to‏ ‎their ‎resource‏ ‎constraints. ‎It ‎underscores ‎the ‎necessity‏ ‎of‏ ‎securing ‎these‏ ‎devices ‎to‏ ‎ensure ‎their ‎effective ‎deployment ‎in‏ ‎real-world‏ ‎scenarios.

·        Proposed‏ ‎Detection ‎Framework: The‏ ‎authors ‎propose‏ ‎a ‎detection‏ ‎framework‏ ‎based ‎on‏ ‎analyzing ‎the ‎energy ‎consumption ‎of‏ ‎smart ‎devices.‏ ‎This‏ ‎framework ‎aims ‎to‏ ‎classify ‎the‏ ‎attack ‎status ‎of ‎monitored‏ ‎devices‏ ‎by ‎examining‏ ‎their ‎energy‏ ‎consumption ‎patterns.

·        Two-Stage ‎Approach: The ‎methodology ‎involves‏ ‎a‏ ‎two-stage ‎approach.‏ ‎The ‎first‏ ‎stage ‎uses ‎a ‎short ‎time‏ ‎window‏ ‎for‏ ‎rough ‎attack‏ ‎detection, ‎while‏ ‎the ‎second‏ ‎stage‏ ‎involves ‎more‏ ‎detailed ‎analysis.

·        Lightweight ‎Algorithm: The ‎paper ‎introduces‏ ‎a ‎lightweight‏ ‎algorithm‏ ‎designed ‎to ‎detect‏ ‎energy ‎consumption‏ ‎attacks ‎on ‎smart ‎home‏ ‎devices.‏ ‎This ‎algorithm‏ ‎is ‎tailored‏ ‎to ‎the ‎limited ‎resources ‎of‏ ‎IoT‏ ‎devices ‎and‏ ‎considers ‎three‏ ‎different ‎protocols: ‎TCP, ‎UDP, ‎and‏ ‎MQTT.

·        Packet‏ ‎Reception‏ ‎Rate ‎Analysis: The‏ ‎detection ‎technique‏ ‎relies ‎on‏ ‎analyzing‏ ‎the ‎packet‏ ‎reception ‎rate ‎of ‎smart ‎devices‏ ‎to ‎identify‏ ‎abnormal‏ ‎behavior ‎indicative ‎of‏ ‎energy ‎consumption‏ ‎attacks.

These ‎benefits ‎and ‎drawbacks‏ ‎provide‏ ‎a ‎balanced‏ ‎view ‎of‏ ‎the ‎proposed ‎detection ‎framework’s ‎capabilities‏ ‎and‏ ‎limitations, ‎highlighting‏ ‎its ‎potential‏ ‎for ‎improving ‎smart ‎home ‎security.

1) Benefits

·        Lightweight‏ ‎Detection‏ ‎Algorithm: The‏ ‎proposed ‎algorithm‏ ‎is ‎designed‏ ‎to ‎be‏ ‎lightweight,‏ ‎making ‎it‏ ‎suitable ‎for ‎resource ‎constrained ‎IoT‏ ‎devices. ‎This‏ ‎ensures‏ ‎that ‎the ‎detection‏ ‎mechanism ‎does‏ ‎not ‎overly ‎burden ‎the‏ ‎devices‏ ‎it ‎aims‏ ‎to ‎protect.

·        Protocol‏ ‎Versatility: The ‎algorithm ‎considers ‎multiple ‎communication‏ ‎protocols‏ ‎(TCP, ‎UDP,‏ ‎MQTT), ‎enhancing‏ ‎its ‎applicability ‎across ‎various ‎types‏ ‎of‏ ‎smart‏ ‎devices ‎and‏ ‎network ‎configurations.

·        Two-Stage‏ ‎Detection Approach: The ‎use‏ ‎of‏ ‎a ‎two-stage‏ ‎detection ‎approach ‎(short ‎and ‎long-time‏ ‎windows) ‎improves‏ ‎the‏ ‎accuracy ‎of ‎detecting‏ ‎energy ‎consumption‏ ‎attacks ‎while ‎minimizing ‎false‏ ‎positives.‏ ‎This ‎method‏ ‎allows ‎for‏ ‎both ‎quick ‎initial ‎detection ‎and‏ ‎detailed‏ ‎analysis.

·        Real-Time ‎Alerts: The‏ ‎framework ‎promptly‏ ‎alerts ‎administrators ‎upon ‎detecting ‎an‏ ‎attack,‏ ‎enabling‏ ‎quick ‎response‏ ‎and ‎mitigation‏ ‎of ‎potential‏ ‎threats.

·        Effective‏ ‎Anomaly Detection: By ‎measuring‏ ‎packet ‎reception ‎rates ‎and ‎analyzing‏ ‎energy ‎consumption‏ ‎patterns,‏ ‎the ‎algorithm ‎effectively‏ ‎identifies ‎deviations‏ ‎from ‎normal ‎behavior, ‎which‏ ‎are‏ ‎indicative ‎of‏ ‎cyberattacks.

2) Drawbacks

·        Limited ‎Attack‏ ‎Scenarios: The ‎experimental ‎setup ‎has ‎tested‏ ‎only‏ ‎specific ‎types‏ ‎of ‎attacks,‏ ‎which ‎limit ‎the ‎generalizability ‎of‏ ‎the‏ ‎results‏ ‎to ‎other‏ ‎potential ‎attack‏ ‎vectors ‎not‏ ‎covered‏ ‎in ‎the‏ ‎study.

·        Scalability ‎Concerns: While ‎the ‎algorithm ‎is‏ ‎designed ‎to‏ ‎be‏ ‎lightweight, ‎its ‎scalability‏ ‎in ‎larger,‏ ‎more ‎complex ‎smart ‎home‏ ‎environments‏ ‎with ‎numerous‏ ‎devices ‎and‏ ‎varied ‎network ‎conditions ‎may ‎require‏ ‎further‏ ‎validation.

·        Dependency ‎on‏ ‎Baseline ‎Data: The‏ ‎effectiveness ‎of ‎the ‎detection ‎mechanism‏ ‎relies‏ ‎on‏ ‎accurate ‎baseline‏ ‎measurements ‎of‏ ‎packet ‎reception‏ ‎rates‏ ‎and ‎energy‏ ‎consumption. ‎Any ‎changes ‎in ‎the‏ ‎normal ‎operating‏ ‎conditions‏ ‎of ‎the ‎devices‏ ‎could ‎affect‏ ‎the ‎baseline, ‎potentially ‎leading‏ ‎to‏ ‎false ‎positives‏ ‎or ‎negatives.

·        Resource‏ ‎Constraints: Despite ‎being ‎lightweight, ‎the ‎algorithm‏ ‎still‏ ‎requires ‎computational‏ ‎resources, ‎which‏ ‎might ‎be ‎a ‎challenge ‎for‏ ‎extremely‏ ‎resource-limited‏ ‎devices. ‎Continuous‏ ‎monitoring ‎and‏ ‎analysis ‎could‏ ‎also‏ ‎impact ‎the‏ ‎battery ‎life ‎and ‎performance ‎of‏ ‎these ‎devices.

F.‏   ‎MediHunt

The‏ ‎paper ‎«MediHunt: ‎A‏ ‎Network ‎Forensics‏ ‎Framework ‎for ‎Medical ‎IoT‏ ‎Devices»‏ ‎addresses ‎the‏ ‎need ‎for‏ ‎robust ‎network ‎forensics ‎in ‎Medical‏ ‎Internet‏ ‎of ‎Things‏ ‎(MIoT) ‎environments,‏ ‎particularly ‎focusing ‎on ‎MQTT ‎(Message‏ ‎Queuing‏ ‎Telemetry‏ ‎Transport) ‎networks.‏ ‎These ‎networks‏ ‎are ‎commonly‏ ‎used‏ ‎in ‎smart‏ ‎hospital ‎environments ‎for ‎their ‎lightweight‏ ‎communication ‎protocol.‏ ‎It‏ ‎highlights ‎the ‎challenges‏ ‎in ‎securing‏ ‎MIoT ‎devices, ‎which ‎are‏ ‎often‏ ‎resource-constrained ‎and‏ ‎have ‎limited‏ ‎computational ‎power. ‎The ‎lack ‎of‏ ‎publicly‏ ‎available ‎flow-based‏ ‎MQTT-specific ‎datasets‏ ‎for ‎training ‎attack ‎detection ‎systems‏ ‎is‏ ‎mentioned‏ ‎as ‎a‏ ‎significant ‎challenge.

The‏ ‎paper ‎presents‏ ‎MediHunt‏ ‎as ‎an‏ ‎automatic ‎network ‎forensics ‎solution ‎designed‏ ‎for ‎real-time‏ ‎detection‏ ‎of ‎network ‎flow-based‏ ‎traffic ‎attacks‏ ‎in ‎MQTT ‎networks. ‎It‏ ‎aims‏ ‎to ‎provide‏ ‎a ‎comprehensive‏ ‎solution ‎for ‎data ‎collection, ‎analysis,‏ ‎attack‏ ‎detection, ‎presentation,‏ ‎and ‎preservation‏ ‎of ‎evidence. ‎It ‎is ‎designed‏ ‎to‏ ‎detect‏ ‎a ‎variety‏ ‎of ‎TCP/IP‏ ‎layers ‎and‏ ‎application‏ ‎layer ‎attacks‏ ‎on ‎MQTT ‎networks. ‎It ‎leverages‏ ‎machine ‎learning‏ ‎models‏ ‎to ‎enhance ‎the‏ ‎detection ‎capabilities‏ ‎and ‎is ‎suitable ‎for‏ ‎deployment‏ ‎on ‎resource‏ ‎constrained ‎MIoT‏ ‎devices.

Unlike ‎many ‎network ‎forensics ‎frameworks,‏ ‎MediHunt‏ ‎is ‎specifically‏ ‎designed ‎for‏ ‎the ‎MIoT ‎domain. ‎This ‎specialization‏ ‎allows‏ ‎it‏ ‎to ‎address‏ ‎the ‎unique‏ ‎challenges ‎and‏ ‎requirements‏ ‎of ‎medical‏ ‎IoT ‎devices, ‎such ‎as ‎resource‏ ‎constraints ‎and‏ ‎the‏ ‎need ‎for ‎real-time‏ ‎attack ‎detection.

1) Benefits

·        Real-time‏ ‎Attack ‎Detection: MediHunt ‎is ‎designed‏ ‎to‏ ‎detect ‎network‏ ‎flow-based ‎traffic‏ ‎attacks ‎in ‎real-time, ‎which ‎is‏ ‎crucial‏ ‎for ‎mitigating‏ ‎potential ‎damage‏ ‎and ‎ensuring ‎the ‎security ‎of‏ ‎MIoT‏ ‎environments.

·        Comprehensive‏ ‎Forensic ‎Capabilities: The‏ ‎framework ‎provides‏ ‎a ‎complete‏ ‎solution‏ ‎for ‎data‏ ‎collection, ‎analysis, ‎attack ‎detection, ‎presentation,‏ ‎and ‎preservation‏ ‎of‏ ‎evidence. ‎This ‎makes‏ ‎it ‎a‏ ‎robust ‎tool ‎for ‎network‏ ‎forensics‏ ‎in ‎MIoT‏ ‎environments.

·        Machine ‎Learning‏ ‎Integration: By ‎leveraging ‎machine ‎learning ‎models,‏ ‎MediHunt‏ ‎enhances ‎its‏ ‎detection ‎capabilities.‏ ‎The ‎use ‎of ‎a ‎custom‏ ‎dataset‏ ‎that‏ ‎includes ‎flow‏ ‎data ‎for‏ ‎both ‎TCP/IP‏ ‎layer‏ ‎and ‎application‏ ‎layer ‎attacks ‎allows ‎for ‎more‏ ‎accurate ‎and‏ ‎effective‏ ‎detection ‎of ‎a‏ ‎wide ‎range‏ ‎of ‎cyber-attacks.

·        High ‎Performance: The ‎framework‏ ‎has‏ ‎demonstrated ‎high‏ ‎performance, ‎with‏ ‎F1 ‎scores ‎and ‎detection ‎accuracy‏ ‎exceeding‏ ‎0.99 ‎and‏ ‎indicates ‎that‏ ‎it ‎is ‎highly ‎reliable ‎in‏ ‎detecting‏ ‎attacks‏ ‎on ‎MQTT‏ ‎networks.

·        Resource ‎Efficiency: Despite‏ ‎its ‎comprehensive‏ ‎capabilities,‏ ‎MediHunt ‎is‏ ‎designed ‎to ‎be ‎resource-efficient, ‎making‏ ‎it ‎suitable‏ ‎for‏ ‎deployment ‎on ‎resource-constrained‏ ‎MIoT ‎devices‏ ‎like ‎Raspberry ‎Pi.

2) Drawbacks

·        Dataset ‎Limitations: While‏ ‎MediHunt‏ ‎uses ‎a‏ ‎custom ‎dataset‏ ‎for ‎training ‎its ‎machine ‎learning‏ ‎models,‏ ‎the ‎creation‏ ‎and ‎maintenance‏ ‎of ‎such ‎datasets ‎can ‎be‏ ‎challenging.‏ ‎The‏ ‎dataset ‎needs‏ ‎to ‎be‏ ‎regularly ‎updated‏ ‎to‏ ‎cover ‎new‏ ‎and ‎emerging ‎attack ‎scenarios.

·        Resource ‎Constraints: Although‏ ‎MediHunt ‎is‏ ‎designed‏ ‎to ‎be ‎resource-efficient,‏ ‎the ‎inherent‏ ‎limitations ‎of ‎MIoT ‎devices,‏ ‎such‏ ‎as ‎limited‏ ‎computational ‎power‏ ‎and ‎memory, ‎can ‎still ‎pose‏ ‎challenges.‏ ‎Ensuring ‎that‏ ‎the ‎framework‏ ‎runs ‎smoothly ‎on ‎these ‎devices‏ ‎without‏ ‎impacting‏ ‎their ‎primary‏ ‎functions ‎can‏ ‎be ‎difficult.

·        Complexity‏ ‎of‏ ‎Implementation: Implementing ‎and‏ ‎maintaining ‎a ‎machine ‎learning-based ‎network‏ ‎forensics ‎framework‏ ‎can‏ ‎be ‎complex. ‎It‏ ‎requires ‎expertise‏ ‎in ‎cybersecurity ‎and ‎machine‏ ‎learning,‏ ‎which ‎may‏ ‎not ‎be‏ ‎readily ‎available ‎in ‎all ‎healthcare‏ ‎settings.

·        Dependence‏ ‎on ‎Machine‏ ‎Learning ‎Models: The‏ ‎effectiveness ‎of ‎MediHunt ‎heavily ‎relies‏ ‎on‏ ‎the‏ ‎accuracy ‎and‏ ‎robustness ‎of‏ ‎its ‎machine‏ ‎learning‏ ‎models. ‎These‏ ‎models ‎need ‎to ‎be ‎trained‏ ‎on ‎high-quality‏ ‎data‏ ‎and ‎regularly ‎updated‏ ‎to ‎remain‏ ‎effective ‎against ‎new ‎types‏ ‎of‏ ‎attacks.

·        Scalability ‎Issues: While‏ ‎the ‎framework‏ ‎is ‎suitable ‎for ‎small-scale ‎deployments‏ ‎on‏ ‎devices ‎like‏ ‎Raspberry ‎Pi,‏ ‎scaling ‎it ‎up ‎to ‎larger,‏ ‎more‏ ‎complex‏ ‎MIoT ‎environments‏ ‎may ‎present‏ ‎additional ‎challenges.‏ ‎Ensuring‏ ‎consistent ‎performance‏ ‎and ‎reliability ‎across ‎a ‎larger‏ ‎network ‎of‏ ‎devices‏ ‎can ‎be ‎difficult

G.‏   ‎Fuxnet

The ‎Blackjack‏ ‎hacking ‎group, ‎purportedly ‎linked‏ ‎to‏ ‎Ukrainian ‎intelligence‏ ‎services, ‎has‏ ‎claimed ‎responsibility ‎for ‎a ‎cyberattack‏ ‎that‏ ‎allegedly ‎compromised‏ ‎emergency ‎detection‏ ‎and ‎response ‎capabilities ‎in ‎Moscow‏ ‎and‏ ‎its‏ ‎surrounding ‎areas.‏ ‎This ‎group‏ ‎has ‎been‏ ‎associated‏ ‎with ‎previous‏ ‎cyberattacks ‎targeting ‎internet ‎providers ‎and‏ ‎military ‎infrastructure.‏ ‎Their‏ ‎most ‎recent ‎claim‏ ‎involves ‎an‏ ‎attack ‎on ‎Moscollector, ‎a‏ ‎company‏ ‎responsible ‎for‏ ‎constructing ‎and‏ ‎monitoring ‎underground ‎water, ‎sewage, ‎and‏ ‎communications‏ ‎infrastructure.

Regarding ‎the‏ ‎infection ‎methods,‏ ‎the ‎Fuxnet ‎malware ‎appears ‎to‏ ‎have‏ ‎been‏ ‎designed ‎to‏ ‎target ‎sensor-gateways‏ ‎and ‎potentially‏ ‎disable‏ ‎them, ‎as‏ ‎well ‎as ‎to ‎fuzz ‎sensors,‏ ‎which ‎could‏ ‎lead‏ ‎to ‎their ‎malfunction‏ ‎or ‎destruction.

·        Unverified‏ ‎Claims: Team82 ‎and ‎Claroty ‎have‏ ‎not‏ ‎been ‎able‏ ‎to ‎confirm‏ ‎the ‎claims ‎made ‎by ‎the‏ ‎Blackjack‏ ‎group ‎regarding‏ ‎the ‎impact‏ ‎of ‎their ‎cyberattack ‎on ‎the‏ ‎government’s‏ ‎emergency‏ ‎response ‎capabilities‏ ‎or ‎the‏ ‎extent ‎of‏ ‎the‏ ‎damage ‎caused‏ ‎by ‎the ‎Fuxnet ‎malware.

·        Discrepancy ‎in‏ ‎Reported ‎Impact: The‏ ‎Blackjack‏ ‎group ‎initially ‎claimed‏ ‎to ‎have‏ ‎targeted ‎2,659 ‎sensor-gateways, ‎with‏ ‎about‏ ‎1,700 ‎being‏ ‎successfully ‎attacked.‏ ‎However, ‎Team82's ‎analysis ‎of ‎the‏ ‎data‏ ‎leaked ‎by‏ ‎Blackjack ‎suggests‏ ‎that ‎only ‎a ‎little ‎more‏ ‎than‏ ‎500‏ ‎sensor ‎gateways‏ ‎were ‎actually‏ ‎impacted ‎by‏ ‎the‏ ‎malware. ‎The‏ ‎claim ‎of ‎having ‎destroyed ‎87,000‏ ‎sensors ‎was‏ ‎also‏ ‎clarified ‎by ‎Blackjack,‏ ‎stating ‎that‏ ‎they ‎disabled ‎the ‎sensors‏ ‎by‏ ‎destroying ‎the‏ ‎gateways ‎and‏ ‎using ‎M-Bus ‎fuzzing, ‎rather ‎than‏ ‎physically‏ ‎destroying ‎the‏ ‎sensors.

·        M-Bus ‎Fuzzing: The‏ ‎Blackjack ‎group ‎utilized ‎a ‎dedicated‏ ‎M-Bus‏ ‎fuzzer‏ ‎within ‎the‏ ‎Fuxnet ‎malware’s‏ ‎code ‎to‏ ‎fuzz‏ ‎the ‎sensors.‏ ‎This ‎technique ‎was ‎aimed ‎at‏ ‎disabling ‎the‏ ‎sensors,‏ ‎but ‎the ‎exact‏ ‎number ‎of‏ ‎sensors ‎that ‎were ‎«fried»‏ ‎or‏ ‎permanently ‎damaged‏ ‎as ‎a‏ ‎result ‎of ‎this ‎fuzzing ‎is‏ ‎unknown‏ ‎due ‎to‏ ‎the ‎network‏ ‎being ‎taken ‎down ‎and ‎access‏ ‎to‏ ‎the‏ ‎sensor-gateways ‎being‏ ‎disabled.

·        Lack ‎of‏ ‎Direct ‎Evidence: Direct‏ ‎evidence‏ ‎to ‎confirm‏ ‎the ‎extent ‎of ‎the ‎damage‏ ‎or ‎the‏ ‎impact‏ ‎on ‎emergency ‎detection‏ ‎and ‎response‏ ‎capabilities ‎is ‎lacking ‎(including‏ ‎targeted‏ ‎Moscollector).

·        Clarification ‎from‏ ‎Blackjack: Following ‎the‏ ‎publication ‎of ‎Team82's ‎initial ‎analysis,‏ ‎the‏ ‎Blackjack ‎group‏ ‎reached ‎out‏ ‎to ‎provide ‎updates ‎and ‎clarifications,‏ ‎particularly‏ ‎challenging‏ ‎the ‎contention‏ ‎that ‎only‏ ‎around ‎500‏ ‎sensor-gateways‏ ‎had ‎been‏ ‎impacted. ‎They ‎emphasized ‎that ‎the‏ ‎JSON ‎files‏ ‎made‏ ‎public ‎were ‎only‏ ‎a ‎sample‏ ‎of ‎the ‎full ‎extent‏ ‎of‏ ‎their ‎activity.

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Monthly Digest. 2024 / 05 [Pro Level]

Welcome ‎to‏ ‎the ‎next ‎edition ‎of ‎our‏ ‎Monthly ‎Digest,‏ ‎your‏ ‎one-stop ‎resource ‎for‏ ‎staying ‎informed‏ ‎on ‎the ‎most ‎recent‏ ‎developments,‏ ‎insights, ‎and‏ ‎best ‎practices‏ ‎in ‎the ‎ever-evolving ‎field ‎of‏ ‎security.‏ ‎In ‎this‏ ‎issue, ‎we‏ ‎have ‎curated ‎a ‎diverse ‎collection‏ ‎of‏ ‎articles,‏ ‎news, ‎and‏ ‎research ‎findings‏ ‎tailored ‎to‏ ‎both‏ ‎professionals ‎and‏ ‎casual ‎enthusiasts. ‎Our ‎digest ‎aims‏ ‎to ‎make‏ ‎our‏ ‎content ‎is ‎both‏ ‎engaging ‎and‏ ‎accessible. ‎Happy ‎reading

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Monthly Digest. 2024 / 05 [Regular Level]

Welcome ‎to‏ ‎the ‎next ‎edition ‎of ‎our‏ ‎Monthly ‎Digest,‏ ‎your‏ ‎one-stop ‎resource ‎for‏ ‎staying ‎informed‏ ‎on ‎the ‎most ‎recent‏ ‎developments,‏ ‎insights, ‎and‏ ‎best ‎practices‏ ‎in ‎the ‎ever-evolving ‎field ‎of‏ ‎security.‏ ‎In ‎this‏ ‎issue, ‎we‏ ‎have ‎curated ‎a ‎diverse ‎collection‏ ‎of‏ ‎articles,‏ ‎news, ‎and‏ ‎research ‎findings‏ ‎tailored ‎to‏ ‎both‏ ‎professionals ‎and‏ ‎casual ‎enthusiasts. ‎Our ‎digest ‎aims‏ ‎to ‎make‏ ‎our‏ ‎content ‎is ‎both‏ ‎engaging ‎and‏ ‎accessible. ‎Happy ‎reading!

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Monthly Digest. 2024 / 05 [Free Level]

Welcome ‎to‏ ‎the ‎next ‎edition ‎of ‎our‏ ‎Monthly ‎Digest,‏ ‎your‏ ‎one-stop ‎resource ‎for‏ ‎staying ‎informed‏ ‎on ‎the ‎most ‎recent‏ ‎developments,‏ ‎insights, ‎and‏ ‎best ‎practices‏ ‎in ‎the ‎ever-evolving ‎field ‎of‏ ‎security.‏ ‎In ‎this‏ ‎issue, ‎we‏ ‎have ‎curated ‎a ‎diverse ‎collection‏ ‎of‏ ‎articles,‏ ‎news, ‎and‏ ‎research ‎findings‏ ‎tailored ‎to‏ ‎both‏ ‎professionals ‎and‏ ‎casual ‎enthusiasts. ‎Our ‎digest ‎aims‏ ‎to ‎make‏ ‎our‏ ‎content ‎is ‎both‏ ‎engaging ‎and‏ ‎accessible. ‎Happy ‎reading!

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Monthly Digest. 2024 / 04

Welcome ‎to‏ ‎the ‎next ‎edition ‎of ‎our‏ ‎Monthly ‎Digest,‏ ‎your‏ ‎one-stop ‎resource ‎for‏ ‎staying ‎informed‏ ‎on ‎the ‎most ‎recent‏ ‎developments,‏ ‎insights, ‎and‏ ‎best ‎practices‏ ‎in ‎the ‎ever-evolving ‎field ‎of‏ ‎security.‏ ‎In ‎this‏ ‎issue, ‎we‏ ‎have ‎curated ‎a ‎diverse ‎collection‏ ‎of‏ ‎articles,‏ ‎news, ‎and‏ ‎research ‎findings‏ ‎tailored ‎to‏ ‎both‏ ‎professionals ‎and‏ ‎casual ‎enthusiasts. ‎Our ‎digest ‎aims‏ ‎to ‎make‏ ‎our‏ ‎content ‎is ‎both‏ ‎engaging ‎and‏ ‎accessible. ‎Happy ‎reading

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