Python’s most popular packages aren’t always the safest ones. 🪦 Some of them are still being downloaded millions of times — even after they’ve reached end-of-life. That means: • No more security patches • No more bug fixes • No maintainer support — ever From libraries that parse untrusted files to tools embedded deep in CI/CD pipelines, these EOL dependencies create a quiet but very real attack surface. Because the risk isn’t just “is there a CVE today?” It’s “what happens when the next one drops — and no one is there to fix it?” Outdated doesn’t always mean unused. And in open source, usage without support is where risk compounds. #Python #OpenSource #AppSec #EOL #SoftwareSecurity #DevSecOps #HeroDevs
Dangers of Using End-of-Life Python Packages
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🐍 Python 3.10 is approaching end-of-life — October 31, 2026 is closer than it looks. Python 3.10 is already in its security-only phase — no new features, no bug fixes. Just critical patches until the clock runs out. But the impact isn't waiting until October: → NumPy, SciPy, Pandas, and others have already dropped 3.10 support → You may already be unable to get security updates for key dependencies → After EOL, every new CVE in CPython becomes permanent exposure → Compliance frameworks are already flagging EOL runtimes as audit findings And if you're running Django 4.2, it goes EOL April 30, 2026. The hardest part isn't knowing you need to upgrade. It's realizing how much of your stack is affected and how long it will actually take. For most teams, this isn't a version bump. It's a migration. The clock is already ticking. ⏰ #Python #OpenSource #EOL #SoftwareSecurity #DevSecOps #Engineering #HeroDevs
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🚨 High Risk Alert! Gramps Web API, a Python REST API for genealogical research software, has a path traversal vulnerability (CVE-2026-40258) 🕸️. An authenticated user with owner-level privileges can craft a malicious ZIP file to write arbitrary files outside the intended directory on the server's local filesystem. This highlights the importance of API security 🔒. Stay safe! #GrampsWebAPI #Python #RESTAPI #OWASP #APIsecurity https://lnkd.in/gsjivDyy
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⚠️ Medium Risk Vulnerability Alert! The Claude SDK for Python has a memory tool path validation race condition that allows sandbox escape. This issue is related to API security and can lead to unrestricted resource consumption. It's been patched in version 0.87.0. Stay safe and keep your systems updated! #ClaudeSDK #Python #APIsecurity #OWASP #CVE2026-34452 https://lnkd.in/g26q6ZAn
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🚀 Understanding the Proxy Pattern (Python) The Proxy pattern provides a surrogate or placeholder for another object to control access to it. A proxy acts as an intermediary, controlling access to the real object. This pattern is useful when you want to add security, lazy initialization, or remote access to an object. The proxy can perform additional operations before or after forwarding the request to the real object. This promotes loose coupling and provides a flexible way to control object access. #Python #PythonDev #DataScience #WebDev #professional #career #development
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🚨 High Risk Vulnerability Alert 🚨 A parser differential in Python's urllib.parse.urlparse allows bypass of URL scheme and host filters, leading to Server Side Request Forgery (SSRF). This vulnerability, CVE-2023-24329, affects Python 3.11.3 and can be exploited in 3 steps. It's a clear reminder of the importance of API security. Stay safe out there! #Python #Vulnerability #OWASP #APIsecurity #SSRF https://lnkd.in/gPvXm-rS
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Just finished building an Automated Data Firewall in Python! The Problem: Manually checking incoming CSVs for errors is slow and prone to human error. The Solution: I built a system using Python and Watchdog that monitors folders in real-time. It runs parallel quality checks (null-value detection & outlier analysis) before promoting clean data to a MySQL warehouse via SQLAlchemy. Key Features: ✅ Real-time file monitoring ✅ Fail-safe reporting with ReportLab (PDFs) ✅ Concurrent processing with ThreadPoolExecutor 📂 Check out the repo here:https://lnkd.in/e8p7Aefq #Python #DataEngineering #Automation #Github #SoftwareDevelopment
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🚨Medium Risk Vulnerability🚨 in Claude SDK for Python! A security misconfiguration (CVE-2026-34450) could allow local attackers to read or modify memory files, potentially influencing model behavior. This highlights the importance of #APISecurity. The issue has been patched in version 0.87.0, so please update if you're using this SDK. #ClaudeSDK #Python #OWASP #SecurityMisconfiguration https://lnkd.in/g6dJ-sea
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pyLoad is a free and open-source download manager written in Python. The fix for CVE-2026-33509 added an ADMIN_ONLY_OPTIONS set to block non-admin users from modifying security-critical config options. The storage_folder option is not in this set and passes the existing path restriction because the Flask session directory is outside both PKGDIR and userdir. A user with SETTINGS and ADD permissions can redirect downloads to the Flask filesystem session store, plant a malicious pickle payload as a predictable session file, and trigger arbitrary code execution when any HTTP request arrives with the corresponding session cookie. This vulnerability is fixed with commit c4cf995a2803bdbe388addfc2b0f323277efc0e1.
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#100DaysofCyberSecurity with Victor Akinode Day 92: Building a Simple Port Scanner Using Python. Today’s lesson was one of those moments where things started to feel real. I didn’t just learn theory, I actually built a working port scanner from scratch using Python. I learned how socket programming works at a practical level. Instead of just hearing about ports, I now understand how a system checks whether a port is open, closed, or filtered by attempting real network connections. One thing that stood out was the use of connect_ex. It returns a status code instead of crashing the program, which makes error handling much cleaner. That small detail made the scanner more stable and professional. I also saw how important timeouts are. Without setting a timeout, the scanner could hang forever on unresponsive ports. That’s a simple fix, but it completely changes performance. The way the tool was structured also helped me think like a developer. Breaking things into functions like scanning a single port, multiple ports, and common ports made the code reusable and easier to maintain. Another big takeaway was input validation. Making sure IP addresses and port ranges are valid prevents crashes and improves user experience. That’s something I’ll carry into every project going forward. The most interesting part was understanding what happens behind the scenes. When scanning a port, the system sends a SYN request and waits for a response. If it gets a SYN-ACK, the port is open. If it gets a reset, the port is closed. If there’s no response, it might be filtered. That connection between code and real network behavior clicked for me today. This is basically how tools like Nmap work at a fundamental level, and building it myself made everything clearer. https://lnkd.in/eUh4B8T5
LESSON 92: Building a Simple Port Scanner Using Python (Python for Cybersecurity)
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The biggest misunderstanding in networking: “More knowledge = better engineer” Not anymore. Today, a strong engineer is not the one who knows the most commands… But the one who can apply changes across 100+ devices reliably. That requires: • Automation • Validation • Repeatability Think beyond CLI: → Push configs using Python (Netmiko / APIs) → Validate state automatically → Detect & fix issues before users notice And that’s exactly where most engineers are stuck. #NetworkAutomation #Python #NetDevOps #Networking
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