SShortSingh.
TopTechnologyAI & MLStartupsProgrammingScienceBusinessFinanceCrypto & Web3World
Back to feed
Programming

Developer builds cross-platform Wi-Fi auditor in Python without kernel drivers

0
·1 views

A developer has released airscope, an open-source Wi-Fi security auditing tool written entirely in Python that runs on Linux, macOS, and Windows without requiring monitor-mode kernel drivers. The tool implements the full 802.11 MAC layer in Python userspace using userland USB drivers, enabling features like WPA/WPA2 handshake capture, PMKID harvesting, and WPS protocol support. It connects to roughly 20 supported USB Wi-Fi chipsets and presents results through a locally hosted web interface with live-updating tables and charts. Unlike alternatives such as aircrack-ng, airscope requires no kernel modules or platform-specific driver setup, making cross-OS deployment straightforward. The project is available on GitHub with pre-built binaries for all major platforms, and is intended strictly for use on networks the user owns or has explicit permission to test.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Adobe Connect SQL Injection Flaw CVE-2026-75682 Scores 9.9, Enables Code Execution

A critical SQL injection vulnerability, CVE-2026-75682, has been identified in Adobe Connect and its Android mobile app, carrying a CVSS v3 score of 9.9 — the highest among nine flaws addressed in Adobe's APSB26-150 bulletin. The flaw allows an attacker with only a low-privileged account to achieve arbitrary code execution, without requiring any user interaction. Adobe has released fixes in Connect version 12.12 and Android app version 4.5, and has stated it is unaware of any active exploitation at this time. The low-privilege requirement is considered a weak barrier, as Connect deployments routinely grant accounts to instructors, contractors, students, and external partners — any of whom could satisfy the attack precondition. Security researchers recommend patching immediately, disabling dormant accounts, restricting network access to the Connect service, and monitoring for anomalous process or database activity while updates are applied.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Treat AI Agents Like Interns, Not Tools, for Better Engineering Output

A perspective piece on DEV Community argues that developers get poor results from AI agents because they treat them as disposable code generators rather than contextual collaborators. The author recommends an 'onboarding' approach, which includes providing AI agents with style guides, architectural records, and repository norms to establish institutional context. Teams are also advised to persist successful workflows and prompt templates in version control so agents do not lose knowledge between sessions. Rather than simply rejecting flawed AI output, the author suggests treating errors as learning opportunities by offering direct feedback and requesting revised approaches. The piece concludes that engineering leadership now extends to ensuring both human and AI resources have the context they need to perform effectively.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

RAG, MCP, Skills, and Memory: The Four Mechanisms That Give AI Agents Real-World Knowledge

Large language models are limited to their training data by default, leaving them unable to access live systems, recall past interactions, or follow team-specific procedures. Engineers have converged on four distinct mechanisms to close this gap: Retrieval-Augmented Generation (RAG), the Model Context Protocol (MCP), Agent Skills, and agent memory. RAG grounds model responses in static documents like manuals or policy handbooks by retrieving relevant passages before generation, a technique rooted in a 2020 paper from Facebook AI Research, UCL, and NYU. MCP, open-sourced by Anthropic in November 2024, is a standardized client-server protocol that lets agents connect to live systems such as databases and internal APIs to read or write real-time data. Agent Skills and memory address the remaining gaps — repeatable procedures and the ability to retain context across sessions — making all four mechanisms complementary rather than interchangeable.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Developer finds Google indexed zero of 270 articles due to JavaScript rendering gap

A developer discovered on August 13, 2026, that Google had crawled 270 of their articles but indexed none, with 157 flagged as Soft 404s. Using Googlebot's user-agent to fetch their own URLs, they found the HTML body contained zero characters because the site was a JavaScript single-page app that served only a shell on initial load. Google's JavaScript execution does not guarantee it waits for all dynamic content to render before evaluating a page for indexing. The fix was implemented via an existing Netlify edge function, which was extended to inject the article body as semantic HTML, JSON-LD structured data, and hreflang tags for bots without affecting the experience for human readers. The developer noted the core lesson was to verify what crawlers actually receive rather than assuming content quality or SEO factors were to blame.

0 comments Read more at DEV Community
Developer builds cross-platform Wi-Fi auditor in Python without kernel drivers · ShortSingh