sanae.gr.jp/ 高市早苗的官网已被成功拿下😂🙏绷不住了🙏

皆様に、今夜に対応して頂きたい大至急のお願いです。   多くのウェブサイトで使用されているPHPに関し、PHPのセキュリティチームが、重大な２件の脆弱性に関する注意喚起を行っています。   公開しているウェブサイトでPHPを使用しているか確認し、今夜、10月21日午後11時（日本時間）に公開される修正パッチについて、可及的速やかに適用できるよう準備をお願いします。   修正パッチを速やかに適用することが困難な場合は、例えばウェブサイト等を一時的に停止させることも、リスクを低減させるための有効策の一つと考えられます。   国家サイバー統括室のXアカウントでも関係する情報を発信していますので、そちらも参考にして下さい。 国家サイバー統括室(注意・警戒情報)（@cyber_forecast） / X

I notified a friend working at a big tech corporate about the PHP vulnerability as their entire infrastructure runs on PHP He answered "Thanks, I'll try patch it in a few days as I'm Out of Office (OOO) now" And this is a modern tech company, imagine the traditional companies running PHP People won't update fast enough and the vulnerability will be out in the wild once the patch hits as anyone can reverse engineer it based on the patch Considering this, there's gonna be so many sites hacked and so much user data exposed I think 🤯

Who's gonna tell vibe coders about... 1. SQL Injection 2. XSS 3. CSRF 4. CORS 5. SSRF 6. IDOR 7. Path Traversal 8. Mass Assignment 9. Clickjacking 10. Content Security Policy 11. Security Headers 12. Input Validation 13. Server-Side Authorization 14. Row-Level Security 15. Least Privilege 16. RBAC 17. Secrets Management 18. .env in .gitignore 19. API Key Rotation 20. Secret Scanning 21. Hashing vs Encryption 22. Password Salting 23. bcrypt & Argon2 24. JWT Expiry 25. Refresh Tokens 26. OAuth 2.0 27. OpenID Connect 28. Session Fixation 29. MFA 30. Brute Force Protection 31. Account Enumeration 32. Timing Attacks 33. File Upload Validation 34. Webhook Signature Verification 35. TLS Certificate Expiry 36. HSTS 37. Encryption at Rest 38. Dependency Vulnerabilities 39. Supply Chain Attacks 40. Threat Modeling 41. Indexes 42. EXPLAIN ANALYZE 43. N+1 Queries 44. Full Table Scans 45. Connection Pooling 46. Database Migrations 47. Down Migrations 48. Transactions 49. ACID 50. Isolation Levels 51. Deadlocks 52. Optimistic Locking 53. Pessimistic Locking 54. Normalization 55. Denormalization 56. Foreign Keys 57. Unique Constraints 58. Cascading Deletes 59. Soft Deletes 60. UUIDs vs Auto-Increment 61. Cursor-Based Pagination 62. Full-Text Search 63. Read Replicas 64. Replication Lag 65. Sharding 66. Partitioning 67. Hot Partitions 68. Postgres VACUUM 69. Materialized Views 70. Backups 71. Testing Your Restores 72. Point-in-Time Recovery 73. Change Data Capture 74. Outbox Pattern 75. ORM Lazy Loading 76. CAP Theorem 77. Eventual Consistency 78. Strong Consistency 79. Raft Consensus 80. Leader Election 81. Split Brain 82. Quorums 83. Clock Skew 84. Distributed Locks 85. Consistent Hashing 86. Bloom Filters 87. Two-Phase Commit 88. CQRS 89. Event Sourcing 90. Race Conditions 91. Backpressure 92. Load Shedding 93. Bulkheads 94. Jitter 95. Retry Storms 96. Cascading Failures 97. Thundering Herd 98. Cache Invalidation 99. Cache Hit Ratio 100. TTLs 101. Cache Warming 102. Write-Through vs Write-Back 103. Redis Eviction Policies 104. CDNs 105. Cache-Control Headers 106. ETags 107. Dead Letter Queues 108. Poison Messages 109. At-Least-Once Delivery 110. Exactly-Once Semantics 111. Message Ordering 112. Kafka Consumer Groups 113. Partition Keys 114. Background Jobs 115. Webhook Retries 116. DNS 117. DNS Propagation 118. HTTP Status Codes 119. HTTP Method Semantics 120. Keep-Alive 121. HTTP/2 122. WebSockets 123. Server-Sent Events 124. Long Polling 125. gRPC 126. Protocol Buffers 127. API Versioning 128. OpenAPI Specs 129. Backward Compatibility 130. Request Size Limits 131. Compression 132. Latency vs Throughput 133. Egress Fees 134. VPCs 135. Subnets 136. NAT Gateways 137. Firewalls 138. Security Groups 139. Service Mesh 140. Ingress Controllers 141. Health Checks 142. Liveness vs Readiness Probes 143. Graceful Shutdown 144. Connection Draining 145. Stateless Services 146. Failover 147. Multi-Region 148. Availability Zones 149. Single Points of Failure 150. Disaster Recovery 151. RTO & RPO 152. SLAs 153. SLOs 154. Error Budgets 155. Incident Response 156. On-Call 157. Runbooks 158. Postmortems 159. Chaos Engineering 160. Graceful Degradation 161. Autoscaling 162. Horizontal vs Vertical Scaling 163. Cold Starts 164. Capacity Planning 165. Load Testing 166. Memory Leaks 167. OOM Killer 168. Structured Logging 169. Log Levels 170. Log Rotation 171. Distributed Tracing 172. OpenTelemetry 173. Correlation IDs 174. Metrics Cardinality 175. p99 Latency 176. Alert Fatigue 177. Error Tracking 178. Profiling 179. Flame Graphs 180. Infrastructure as Code 181. Terraform State 182. GitOps 183. Blue-Green Deployments 184. Canary Releases 185. Rollbacks 186. Feature Flags 187. Environment Parity 188. Staging Environments 189. 12-Factor Apps 190. Multi-Stage Builds 191. Non-Root Containers 192. Image Scanning 193. Resource Requests & Limits 194. Pod Disruption Budgets 195. Semantic Versioning 196. Lockfiles 197. Reproducible Builds 198. Branch Protection

My experience with Gemini 4 Argon summed up