Vappler Update: Client Workspace Manager & Ingestion Pipeline Hardening

Trivy scans flagging hundreds of CVEs? Most teams fix the wrong ones first Why? Tools report severity, not context. Better approach: Enrich alerts: Add runtime data (is it exploitable in your pods?). Prioritize by exposure: Focus on internet-facing services first. Correlate with configs: Ignore if pod security blocks it anyway. Hypothetically, this slashes false positives by 60% based on benchmarks, speeding compliance. What's one vuln triage myth you see teams fall for? Share below, or DM for insights!

Malicious actors are always innovating new ways to hack software, and security controls can feel like a cat and mouse game. And it's not just your software—it's your third party dependencies, too. On the floor of re:Invent, Exaforce's co-founders Ariful Huq and Marco Rodrigues dive into how detection frameworks can help you turn your security from a game of whack-a-mole into a reliable system, and where AI triage fits into security systems. https://lnkd.in/eiaEWzhC

another patch tuesday, another set of critical vulns. 56 flaws fixed this month. 1 zero-day and 2 public disclosures. here's what you need to know. zero-days are the real threat. public vulns get all the hype. but 0days are getting exploited while we scramble to patch. attackers already have a head start. we manage over 5,000 endpoints. every patch cycle is a fire drill. test, stage, deploy, validate, roll back, repeat. takes a week of all-hands effort. most orgs are lucky to hit 80% patch rates. the dirty secret: patching is expensive. takes $320 per endpoint per year on average. that's $1.6M for our fleet. most of that is labor. vendors don't talk about the real costs. here's the key: prioritize ruthlessly. focus on exploited and public vulns first. have a plan for the rest. accept that 100% isn't feasible. but 95% is doable with discipline. automate where you can. use telemetry to measure exposure. test patches before broad deploy. have a rollback plan. focus on outcomes, not patch counts. aim for better, not perfect. attackers only need one hole. you have to plug thousands. keep the faith and keep patching. https://lnkd.in/eHDYFNcQ

Vulnerabilities will reach production. That’s not a failure of teams or tooling, it’s the reality of modern software. The real question is how quickly we can see and respond when something actually becomes exploitable. How are others thinking about runtime visibility today?

Stop listing risks. Start mapping attack flows. Block next Shai-Hulud. 〰️ From Ultralytics and Shai-Hulud to TrustWallet and CodeBreach, attackers are pivoting across the entire stack: Dev workstation ➡️ VCS ➡️ CI/CD ➡️ Registry ➡️ Production. Yet, the infrastructure that builds our software has largely been a "choose your own adventure" of security controls (MITRE ATT&CK is great for endpoints and containers, OWASP CI/CD Top 10 is more of a checklist). Today, we release SITF (SDLC Infrastructure Threat Framework)[https://lnkd.in/d5rYS3M2] - the first open framework dedicated to the "Producer" infra. What's inside? 🔹 Visualizer: A client-side tool to map attack paths (no server needed). 🔹 Library of 70+ Techniques: Tradecraft unique to SDLC, like "PWN Requests" (T-C003). 🔹 Sample flows ready to explore. #AppSec #SupplyChainSecurity #DevSecOps #SITF #ThreatModeling

Proxy Pattern — Controlling Access “Why not just call the real object directly?” Because sometimes, access itself needs control 👇 🟡 What Proxy Pattern is REALLY for Proxy provides a placeholder or wrapper around a real object to control: When it is created How it is accessed Whether access is allowed 👉 The client thinks it’s talking to the real object. 🔴 Where direct access starts breaking You start with: var image = new HighResolutionImage(); image.Display(); Then reality hits: Image is huge Loading is slow Not always needed Needs security checks Soon: Performance suffers Unauthorized access slips in Resource usage explodes 👉 This is uncontrolled access. 🟢 What Proxy Pattern suggests Insert a proxy: Client → ImageProxy → RealImage Proxy decides: Load only when needed (Lazy Proxy) Check permissions (Protection Proxy) Cache results (Caching Proxy) Now: Expensive objects load on demand Access is validated Resources are protected All without changing client code. ⭐ Golden Rule (Worth Saving) If access to an object needs: Lazy loading Security checks Caching or logging 👉 You need a Proxy. 🎯 Final takeaway Proxy doesn’t change behavior. It controls when and how behavior is reached. That control is what makes systems safe, fast, and scalable. 💬 Where have you used lazy loading or access control without calling it a Proxy? #DesignPatterns #SoftwareArchitecture #CleanCode #Engineering #DotNet

𝗧𝗵𝗿𝗲𝗲 𝗔𝗜-𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝘃𝘂𝗹𝗻𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗽𝗮𝘁𝘁𝗲𝗿𝗻𝘀 𝗗𝗔𝗦𝗧 𝗺𝗮𝘆 𝗺𝗶𝘀𝘀 𝘋𝘈𝘚𝘛 𝘸𝘢𝘴 𝘣𝘶𝘪𝘭𝘵 𝘧𝘰𝘳 𝘴𝘤𝘩𝘦𝘥𝘶𝘭𝘦𝘥 𝘴𝘤𝘢𝘯𝘴. 𝘈𝘐-𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘦𝘥 𝘤𝘰𝘥𝘦 𝘴𝘩𝘪𝘱𝘴 𝘤𝘰𝘯𝘵𝘪𝘯𝘶𝘰𝘶𝘴𝘭𝘺. Here are three failure modes DAST can’t reliably catch: 1️⃣ 𝗣𝗵𝗮𝗻𝘁𝗼𝗺 𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝗶𝗲𝘀 → ghost libraries or deprecated calls that only fail at runtime 2️⃣ 𝗔𝘂𝘁𝗵𝗲𝗻𝘁𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗴𝗮𝗽𝘀 → functional login code that skips hashing, rate limits, or session controls 3️⃣ 𝗜𝗻𝗷𝗲𝗰𝘁𝗶𝗼𝗻 𝘃𝘂𝗹𝗻𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 → queries that “work” in tests but remain exploitable under real inputs Closing thought In AI-driven pipelines, only runtime protection keeps pace with continuous change. #AppSec #RuntimeSecurity #DAST #DevSecOps

Runtime behavior, not severity scores, is what separates theoretical vulnerabilities from exploitable ones. In this new article, we define what “runtime” should mean for vulnerability management and explain: —Why runtime behavior is the missing data layer for modern VM programs —Why the endpoint is where execution, privilege, and connectivity converge —How runtime shifts VM from probability-based prioritization to evidence-based exposure reduction If you run a VM program and want to focus on what’s actually exploitable, this is worth a read 👇 https://lnkd.in/gzW5Apk9 #VulnerabilityManagement #RiskReduction

Day 24 — Burp Suite (Observe) Today was about seeing the web the way a pentester does What I learned: How a proxy sits between browser ↔ server Reading raw HTTP requests & responses confidently Identifying manipulation points in parameters, headers, and methods Understanding Site Map to visualize application structure and hidden endpoints Learning Intruder functionality to automate payload testing and spot patterns at scale Pentest mindset: Before exploiting anything, you must first observe clearly. Every request tells a story — Intruder helps test it, Site Map helps map it.