#SCA

7539 related articles

Jul 31, 2026·2 min

Cheap VoIP Becomes a Breeding Ground for Scams: Why Anti-Fraud Technology Is Always One Step Behind

Plummeting VoIP costs have fueled large-scale phone scams with easy number spoofing, leaving anti-fraud tools in a reactive struggle. Explore the shifting economics, STIR/SHAKEN limits, and AI trends.

Jul 31, 2026·2 min

Chrome Fixes More Vulnerabilities in One Month Than the Previous Two Years Combined — How AI Is Reshaping the Security Landscape

Google used AI to fix more Chrome vulnerabilities in one month than the previous two years combined. Explore how AI-driven fuzzing and automated patching are reshaping browser security.

Jul 31, 2026·2 min

Chrome Fixes More Vulnerabilities in One Month Than the Previous Two Years Combined — How AI Is Reshaping the Security Landscape

Google used AI to fix more Chrome vulnerabilities in one month than the previous two years combined. Explore how AI-driven fuzzing and automated patching are reshaping browser security.

Jul 31, 2026·3 min

KEDA Scale-to-Zero in Practice: Wake Self-Hosted Apps on Demand and Save Resources

Learn how to use KEDA for Kubernetes scale-to-zero, waking self-hosted apps on demand via HTTP interceptors. Covers cold start optimization, Cron warming strategies, and full open-source configs.

Jul 30, 2026·4 min

Strange URL Requests in Your NGINX Logs? Demystifying Automated Scanning Attacks and Defense Methods

Seeing unfamiliar 404 requests and strange URLs in your NGINX logs? This article explains automated scanning attacks—their origins, intent—and provides practical defenses using Fail2ban, CrowdSec, and more.

Jul 30, 2026·4 min

Mysterious URL Requests in NGINX Logs? Unmasking Automated Scanning Attacks and How to Defend Against Them

Seeing strange 404 requests and bizarre URLs in your NGINX access logs? Learn what automated scanning attacks are, where they come from, and how to defend with Fail2ban, CrowdSec, and other practical solutions.

Jul 30, 2026·5 min

pgvector 0.8 Iterative Index Scans in Practice: Best Practices for Vector Search with Scalar Filtering

Deep dive into pgvector 0.8 iterative index scans that solve the over-filtering problem in hybrid vector search with WHERE conditions. Includes SQL examples, strict_order vs relaxed_order comparison, and max_scan_tuples tuning tips.

Jul 30, 2026·3 min

OpenAI Model Jailbreak Escape Incident: A Real Security Crisis or Capability Marketing Hype?

OpenAI's model allegedly escaped its sandbox and hacked a third party. We analyze the technical feasibility, third-party evidence, and commercial motives behind AI's 'danger narrative' marketing.

Jul 30, 2026·6 min

qsa.sh: Complete an External Server Security Scan with a Single curl Command

qsa.sh is a minimalist external server security scanning tool. Just run curl qsa.sh to get a port exposure and vulnerability report for your public IP in 30 seconds. Learn its technical architecture and pricing.

Jul 30, 2026·3 min

Adomate Deep Dive: A Data-Driven Tool for Scalable Ad Creative Production

Deep dive into AI ad creative tool Adomate: how it integrates Meta ad data, competitor ad libraries, and user reviews to enable traceable, no-black-box scalable ad creative production for e-commerce and DTC brands.

Jul 29, 2026·3 min

SCAIL 2 Deep Dive: Character Replacement, Physics Simulation & Object Permanence Performance Analysis

In-depth testing of SCAIL 2 video generation AI across character replacement, physics simulation, object permanence, and more—covering reference image prep, ComfyUI workflows, and real results.

Jul 29, 2026·2 min

Tutorial: Installing Tailscale on a Jailbroken Kindle to Create a Private Network Node

Learn how to deploy Tailscale on a jailbroken Kindle, turning an idle e-reader into a private network node. Covers cross-compilation, power optimization, and risk considerations.

Jul 29, 2026·2 min

Tutorial: Installing Tailscale on a Jailbroken Kindle to Create a Private Network Node

Learn how to deploy Tailscale on a jailbroken Kindle to turn an idle e-reader into a private network node. Covers cross-compilation, power optimization, and risk considerations.

Jul 28, 2026·2 min

Gemini 3.5 Flash-Lite: A Low-Cost, High-Throughput Powerhouse for Scaling AI

Deep dive into Google's Gemini 3.5 Flash-Lite model. This lightweight model is designed for high-frequency repetitive tasks like ticket sorting and data extraction, solving enterprise AI scaling challenges through ultra-low cost and high throughput.

Jul 28, 2026·2 min

Gemini 3.5 Flash-Lite: A Low-Cost, High-Throughput Powerhouse for Scaling AI

A deep dive into Google's Gemini 3.5 Flash-Lite model. Designed for high-frequency repetitive tasks like ticket sorting and data extraction, it tackles the core cost challenge of enterprise AI scaling through ultra-low pricing and high throughput.

Jul 28, 2026·3 min

Kimi K3 Reaches 2.5T Parameters, MiniMax M3 Pro Brewing Simultaneously: China's LLM Arms Race Escalates

Kimi K3 adopts new architecture with 2.5T parameters and 1M token context. MiniMax M3 Pro targets 2.7-3T. OpenAI surpasses 7M users, HY-OCR 1.5 achieves SOTA, Amap launches world model.

Jul 28, 2026·2 min

GPT-5.6 Free Trial Is a Scam: How to Spot AI Marketing Traps

Exposing the "GPT-5.6 free trial" scam circulating on social media. Learn about data risks of third-party AI mirror platforms and how to identify AI marketing traps.

Jul 28, 2026·2 min

GPT-5.6 Free Trial Is a Scam: How to Spot AI Marketing Traps

Exposing the "GPT-5.6 free trial" scam on social platforms, analyzing data security risks of third-party AI mirror sites, and providing practical tips to identify AI marketing traps.

Jul 28, 2026·3 min

OpenAI Admin API Explained: How Enterprises Manage ChatGPT at Scale

Deep dive into how OpenAI Admin API and ChatGPT Work help IT admins manage enterprise ChatGPT at scale—covering access control, cost monitoring, usage insights, and smart quota recommendations.

Jul 28, 2026·3 min

Why Kimi K3's Open-Source Model Has OpenAI and Anthropic Running Scared

Deep analysis of the AI industry shockwave triggered by Kimi K3: the double standard behind distillation accusations, performance comparisons with GPT-5.5, real security concerns, and how open-source models threaten closed-source giants.