Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
OWT2017JP - OWASP Project Overview for Developers
Search
OWASP Japan
September 30, 2017
Technology
3.8k
11
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
OWT2017JP - OWASP Project Overview for Developers
#OWT2017JP
Opening Session by 上野宣, OWASP Japan
OWASP Japan
September 30, 2017
More Decks by OWASP Japan
See All by OWASP Japan
OWASP Night 2019.03 Tokyo
owaspjapan
0
420
OWASP SAMMを活用したセキュア開発の推進
owaspjapan
0
1.1k
20190107_AbuseCaseCheatSheet
owaspjapan
0
240
セキュリティ要求定義で使える非機能要求グレードとASVS
owaspjapan
5
1.2k
AWSクラスタに捧ぐウェブを衛っていく方法論と死なない程度の修羅場の価値
owaspjapan
9
3.6k
Shifting Left Like a Boss
owaspjapan
2
350
OWASP Top 10 and Your Web Apps
owaspjapan
2
450
OWASP Japan Proposal: Encouraging Japanese Translation
owaspjapan
1
310
elegance_of_OWASP_Top10_2017
owaspjapan
2
590
Other Decks in Technology
See All in Technology
Datadog の学び方 - あるいは、オブザーバビリティを学ぶとは何か
mananyuki
1
540
使いこなすために知っておきたい Azure SRE Agent アンチパターン
torumakabe
2
470
OR学会2026年秋期大会_機械学習と数理最適化の融合による、配合レシピ最適化システム開発事例
brainpadpr
0
130
"優秀な誰か"の下位互換にならないために
yut0naga1_fa
1
1.7k
LLM機能を自作して分かるSnowflake Cortex AIの強み
nayuts
0
360
Snapshot Testing in Practice: Predictable and Reliable SwiftUI Views
fespinoza
0
180
WasmをRustにする
sansantech
PRO
0
150
DWH の限界突破! AI エージェント向け爆速リアルタイムデータ基盤 ClickHouse
jozono
1
380
Post AI時代のリファクタリング実践記 / Refactoring in the post AI era
kaminashi
1
110
12 個 Tool と、 4,096 Token
hlum
0
130
おそらく日本で唯一のDevRelインターン生として
husengs7
0
170
契約書画像からの情報抽出に特化した視覚接地モデルを育てる話
sansantech
PRO
1
160
Featured
See All Featured
We Analyzed 250 Million AI Search Results: Here's What I Found
joshbly
2
2k
Mobile First: as difficult as doing things right
swwweet
225
10k
Design in an AI World
tapps
1
350
Data-driven link building: lessons from a $708K investment (BrightonSEO talk)
szymonslowik
1
1.4k
VelocityConf: Rendering Performance Case Studies
addyosmani
331
25k
Believing is Seeing
oripsolob
1
240
We Have a Design System, Now What?
morganepeng
55
8.4k
The Straight Up "How To Draw Better" Workshop
denniskardys
239
140k
Design of three-dimensional binary manipulators for pick-and-place task avoiding obstacles (IECON2024)
konakalab
0
610
Navigating the moral maze — ethical principles for Al-driven product design
skipperchong
2
620
Marketing Yourself as an Engineer | Alaka | Gurzu
gurzu
0
320
Building Experiences: Design Systems, User Experience, and Full Site Editing
marktimemedia
1
620
Transcript
08"41ͷา͖ํ 085 08"41+BQBO $IBQUFS-FBEFS 4FO6&/0 08"411SPKFDU0WFSWJFX GPS%FWFMPQFST
08"411SPKFDU
'MBHTIJQ1SPKFDUT • 5PPMT – 08"41;FE"UUBDL1SPYZ – 08"418FC5FTUJOH&OWJSPONFOU1SPKFDU – 08"41085' –
08"41%FQFOEFODZ$IFDL – 08"414FDVSJUZ4IFQIFSE</FX> • $PEF – 08"41.PE4FDVSJUZ $PSF3VMF4FU1SPKFDU – 08"41$43'(VBSE 1SPKFDU – 08"41"QQ4FOTPS 1SPKFDU • %PDVNFOUBUJPO – 08"41"QQMJDBUJPO4FDVSJUZ7FSJGJDBUJPO4UBOEBSE1SPKFDU – 08"414PGUXBSF"TTVSBODF.BUVSJUZ.PEFM 4".. – 08"41"QQ4FOTPS 1SPKFDU – 08"415PQ5FO1SPKFDU – 08"415FTUJOH(VJEF1SPKFDU IUUQTXXXPXBTQPSHJOEFYQIQ08"41@1SPKFDU@*OWFOUPSZ'MBHTIJQ@1SPKFDUT
08"415PQ3$ • 8FCΞϓϦέʔγϣϯ੬ऑੑτοϓ 3$3FKFDUFE ݄Լ०ϦϦʔε༧ఆ
08"415PQGPS ຊޠ൛ΞϦ㽂
;"1 • ;"1 ;FE"UUBDL1SPYZ • 8FCΞϓϦέʔγϣϯ੬ऑੑεΩϟφʔ ຊޠ൛ΞϦ㽂
8FC5FTUJOH&OWJSPONFOU • ओʹ08"41ͷΞϓϦέʔγϣϯηΩϡϦςΟπʔϧͱυΩϡϝ ϯτͷ٧Ί߹Θͤ -JOVYEJTU • 08"41ͷ֤छϓϩδΣΫτ – πʔϧυΩϡϝϯτ –
08"41Ҏ֎ͷ8FCΞϓϦέʔγϣϯηΩϡϦςΟπʔϧऩ • *407.XBSF 7JSUVBM#PY 1BSBMMFMTɺ-JOVYύοέʔδͳͲͷ ܗࣜͰఏڙ – چ08"41-JWF$%
085' • 085' 0GGFOTJWF8FC5FTUJOH'SBNFXPSL – ࣗಈஅπʔϧ – 08"415FTUJOH(VJEF 15&4 UIF1FOFUSBUJPO5FTUJOH&YFDVUJPO
4UBOEBSE /*45
08"41%FQFOEFODZ$IFDL • 8FCΞϓϦέʔγϣϯͷத͔Β੬ऑੑͷ͋ΔίϯϙʔωϯτΛ ൃݟ͢ΔεΩϟφʔ – +BWB /&5ʹରԠ • 3VCZ /PEFKT
1ZUIPO $$ ࢼݧతͳରԠ
08"414FDVSJUZ4IFQIFSE • 8FCͱϞόΠϧͷΞϓϦέʔγϣϯηΩϡϦςΟͷͨΊͷτ Ϩʔχϯάπʔϧ – ηΩϡϦςΟΛֶͿͨΊͷϋϯζΦϯڥ – $5'ϞʔυɺΦʔϓϯϑϩΞϞʔυɺτʔφϝϯτϞʔυͳͲΛඋ͑Δ • 5FBDIJOH5PPMGPS"MM"QQMJDBUJPO4FDVSJUZ
• 8FC"QQMJDBUJPO1FO5FTUJOH5SBJOJOH • .PCJMF"QQMJDBUJPO1FO5FTUJOH5SBJOJOH • 4BGF1MBZHSPVOEUP1SBDUJTF "QQ4FD 5FDIOJRVFT • 3FBM4FDVSJUZ3JTL&YBNQMFT
.PE4FDVSJUZ $PSF3VMF4FU1SPKFDU • .PE4FDVSJUZ – 0QFO4PVSDF8FC"QQMJDBUJPO'JSFXBMM • .PE4FDVSJUZ Ͱ͑Δϧʔϧηοτ –
1SPUPDPM7BMJEBUJPO – .BMJDJPVT$MJFOU*EFOUJGJDBUJPO – (FOFSJD"UUBDL4JHOBUVSFT – ,OPXO7VMOFSBCJMJUJFT4JHOBUVSFT – 5SPKBO#BDLEPPS"DDFTT – 0VUCPVOE%BUB-FBLBHF – "OUJ7JSVTBOE%P4 VUJMJUZTDSJQUT
$43'(VBSE 1SPKFDU • ΫϩεαΠτɾϦΫΤετϑΥʔδΣϦ $43' ରࡦϥΠϒϥϦ
"QQ4FOTPS 1SPKFDU • ΞϓϦέʔγϣϯϨΠϠʔʹର͢Δ৵ೖݕͱࣗಈԠͷͨΊͷ ϑϨʔϜϫʔΫ – ΞϓϦέʔγϣϯʹޚΛ࣮͢Δ • ݕग़ –
Ҏ্ͷݕग़ϙΠϯτͰ߈ܸΛݕ • Ԡ – ߈ܸΛݕग़ͨ͠ޙͷΞΫγϣϯ – ϢʔβʔͷϩάΞτɺΞΧϯτϩοΫɺཧऀͷ௨ͳͲ • ΞϓϦέʔγϣϯͷޚ
"QQMJDBUJPO4FDVSJUZ7FSJGJDBUJPO4UBOEBSE 1SPKFDU • "474 "QQMJDBUJPO4FDVSJUZ7FSJGJDBUJPO4UBOEBSE • ΞϓϦέʔγϣϯͷηΩϡϦςΟධՁͷͨΊͷݕࠪඪ४ – ࣗಈ·ͨखಈͷηΩϡϦςΟςετٴͼίʔυϨϏϡʔํࣜͷཁ݅
• -W0QQPSUVOJTUJD • -W4UBOEBSE • -W"EWBODFE ຊޠ൛ΞϦ㽂
4PGUXBSF"TTVSBODF.BUVSJUZ.PEFM • 4".. 4PGUXBSF"TTVSBODF.BUVSJUZ.PEFM ɿιϑτΣΞ ηΩϡϦςΟอোख़Ϟσϧ • ϦεΫʹ߹ΘͤͨιϑτΣΞηΩϡϦςΟઓུΛ࣮͢ΔͨΊ ͷϑϨʔϜϫʔΫ ຊޠ൛ΞϦ㽂
5FTUJOH(VJEF • 8FCαΠτʗΞϓϦέʔγϣϯͷςετΨΠυɺશϖʔδ ʢ7FSʣ • ֤੬ऑੑɺػೳผͷςετํ๏ – *OGPSNBUJPO(BUIFSJOH $POGJHVSBUJPO.BOBHFNFOU5FTUJOH
"VUIFOUJDBUJPO5FTUJOH 4FTTJPO.BOBHFNFOU "VUIPSJ[BUJPO 5FTUJOH #VTJOFTTMPHJDUFTUJOH %BUB7BMJEBUJPO5FTUJOH %P4 5FTUJOH 8FC4FSWJDFT5FTUJOH "+"95FTUJOH
8FCγεςϜʗ8FCΞϓϦέʔγϣϯ ηΩϡϦςΟཁ݅ॻ • 8FCγεςϜʗ8FCΞϓϦέʔγϣϯ։ൃͷͨΊͷཁ݅ఆٛॻ – ҰൠతʹΓࠐΉ͖ηΩϡϦςΟཁ݅ఆٛॻ – ։ൃݴޠϑϨʔϜϫʔΫʹґଘ͠ͳ͍ • 08"41+BQBOηΩϡϦςΟཁ݅ఆٛॻ8(
੬ऑੑஅ࢜εΩϧϚοϓϓϩδΣΫτ • ੬ऑੑஅΛߦ͏ݸਓͷٕज़తͳೳྗΛ۩ମతʹ͢Δ • ੬ऑੑஅΛߦ͏ٕज़ऀʢҎԼɺ੬ऑੑஅ࢜ʣͷεΩϧϚοϓ ͱֶशͷࢦͱͳΔγϥόεɺ੬ऑੑஅΛߦ͏ͨΊͷΨΠυϥ ΠϯͳͲΛඋ • *40(+ͱ08"41 +BQBOͷڞಉ8(
8FCΞϓϦέʔγϣϯ੬ऑੑஅΨΠυϥΠϯ • खಈஅิॿπʔϧΛͬͨ8FCΞϓϦέʔγϣϯ੬ऑੑஅ ʹ༻͢ΔΨΠυϥΠϯ – 42-J 944ͳͲͷ۩ମతͳஅύλʔϯ
੬ऑੑஅ ॳ৺ऀϋϯζΦϯτϨʔχϯά • ݄ ։࠵ • ืूਓ໊ <͢Ͱʹຬ੮> IUUQTQFOUFTUXFCDPOOQBTTDPNFWFOU
օ͞ΜͷڠྗͰΓཱ͍ͬͯ·͢ • ຊޠ൛͕ͳ͍ϓϩδΣΫτ͍͔ͭ͘ • ఀ͍ͯ͠ΔϓϩδΣΫτ͍͔ͭ͘ • ϘϥϯςΟΞͷྗΛඞཁͱ͍ͯ͠·͢
+PJOVT