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@itsssrabii: မောင်မောင် အနားဘဲအမြဲရှိချင်တယ်အေ#iovemybf #mgmgpisi #lychee

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Thursday 15 October 2026 04:12:25 GMT
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hnin6822100
🔮 :
@🐢
2026-10-15 11:59:14
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myat3032
◌⑅⃝●♡⋆♡ W ♡⋆♡●⑅⃝◌ :
@မောင်ပေတူး🐒💕💔
2026-10-15 12:14:55
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yati3522
Noctra🎀🌷 :
@🌪MG BHONE ၊💐🎀
2026-10-15 12:50:54
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ကြောက်လို့ အတုယောင်တွေ 😬
ကြောက်လို့ အတုယောင်တွေ 😬
It pays to be fast 💨 Congrats to them! 🏆 Any recommendations for a new location?📍 #winner #money #fyp #longisland #newyork
It pays to be fast 💨 Congrats to them! 🏆 Any recommendations for a new location?📍 #winner #money #fyp #longisland #newyork
Uma cabeceira faz total diferença em um quarto amigas! Essa que comprei ficou perfeita, combinou demais com as outras decorações e deixou o quarto super aconchegante 😍✨ #viral #cabeceira #casa #decoracao #fyp
Uma cabeceira faz total diferença em um quarto amigas! Essa que comprei ficou perfeita, combinou demais com as outras decorações e deixou o quarto super aconchegante 😍✨ #viral #cabeceira #casa #decoracao #fyp
Galaxy S25 Ultra This is true waterproofing#waterproof#S25#ultra#mobile #fypシ゚viral
Galaxy S25 Ultra This is true waterproofing#waterproof#S25#ultra#mobile #fypシ゚viral
Tricky Software Interview Question! Bots flood a login endpoint with 50,000 failed attempts across 30,000 IP addresses, and real users start waiting ten seconds to sign in. How do failed logins slow down the whole system, and why can’t you just block the attackers? The slowdown comes from bcrypt. It’s built to be slow and CPU-heavy so stolen password hashes are hard to crack, which means every wrong password from a bot still costs real CPU time. Attackers spread stolen credentials across tens of thousands of IPs and stop just before the account lockout limit, so per-IP rate limiting never triggers while the CPU maxes out hashing passwords that were never going to work. The fix is to filter traffic before bcrypt runs. During the TLS handshake, a client’s fingerprint can reveal whether it’s an automated script or the real mobile app. Paired with device trust tokens from past logins, that signal sorts requests into tiers: trusted devices get verified right away, borderline requests get a CAPTCHA, and obvious bots get rejected without bcrypt ever running. Would you trust a TLS fingerprint to separate bots from real users? Tell us in the comments. #SystemDesign #CyberSecurity #CredentialStuffing #bcrypt #APISecurity #SoftwareEngineering #TechInterview #WebDevelopment #DevOps #KodeKloud
Tricky Software Interview Question! Bots flood a login endpoint with 50,000 failed attempts across 30,000 IP addresses, and real users start waiting ten seconds to sign in. How do failed logins slow down the whole system, and why can’t you just block the attackers? The slowdown comes from bcrypt. It’s built to be slow and CPU-heavy so stolen password hashes are hard to crack, which means every wrong password from a bot still costs real CPU time. Attackers spread stolen credentials across tens of thousands of IPs and stop just before the account lockout limit, so per-IP rate limiting never triggers while the CPU maxes out hashing passwords that were never going to work. The fix is to filter traffic before bcrypt runs. During the TLS handshake, a client’s fingerprint can reveal whether it’s an automated script or the real mobile app. Paired with device trust tokens from past logins, that signal sorts requests into tiers: trusted devices get verified right away, borderline requests get a CAPTCHA, and obvious bots get rejected without bcrypt ever running. Would you trust a TLS fingerprint to separate bots from real users? Tell us in the comments. #SystemDesign #CyberSecurity #CredentialStuffing #bcrypt #APISecurity #SoftwareEngineering #TechInterview #WebDevelopment #DevOps #KodeKloud
¿Sos boluda o te entrenas a la mañana temprano?
¿Sos boluda o te entrenas a la mañana temprano?

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