What Is XSS? How Cross-Site Scripting Attacks Work and How to Stop Them

·1 views

Cross-site scripting (XSS) is a web security vulnerability that allows attackers to inject malicious code into trusted websites, where it executes inside visitors' browsers without their knowledge. The attack does not require server access — it exploits any site feature that displays user-submitted input, such as comment boxes or search fields, without properly sanitizing it first. XSS comes in three main forms: stored, reflected, and DOM-based, with stored XSS considered the most dangerous because a single malicious submission can affect every subsequent visitor to that page. Once executed, such scripts can steal session cookies, hijack admin accounts, inject fake payment forms, or redirect users to phishing pages. OWASP, the leading web security nonprofit, classifies XSS under its Top 10 critical risks, making it a priority concern for any site owner running forms or user-generated content.

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)

Pandora Now Officially Supports Google Gemini Voice Control for Music Playback

Pandora has officially added Google Gemini to its list of supported devices and partners, enabling users to control Pandora playback through Gemini voice requests on compatible devices. Google's own Gemini for Home documentation independently confirms Pandora as a supported media service, validating the integration from both sides. The feature allows listeners to ask Gemini to play Pandora music, playlists, or mood-based content without manually opening the app. The integration also extends an existing relationship between the two companies, with Pandora able to serve as a primary music provider on Google Home. The documented support reflects a consumer-facing interoperability layer rather than a new standalone product or developer platform.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Fever's Event Catalog Highlights Challenges of AI-Powered Ticket Discovery

Fever, a consumer platform for discovering and booking local experiences, represents the type of service that could benefit from conversational AI integration, allowing users to find events through natural-language requests rather than manual filters. A useful AI-to-ticketing connection would need to handle real-time availability, inventory changes, location data, user consent, and a seamless handoff from recommendation to booking. Google's Gemini developer resources do describe frameworks for connecting third-party apps and services, but neither Google nor Fever has publicly confirmed a direct Gemini-Fever integration. The distinction is significant, as general integration documentation does not establish a specific partnership between the two companies. Key unresolved questions for any such integration would include catalog scope, data freshness, user privacy, booking flow, and commercial arrangements between the platforms.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

How to Detect and Prevent Infrastructure Drift in Terraform Environments

Infrastructure-as-code (IaC) tools like Terraform can fall out of sync with actual infrastructure when engineers make manual changes outside the declared configuration, a problem known as drift. Such divergence can cause configuration inconsistencies, security vulnerabilities, and service outages if left unaddressed. Terraform's built-in state commands, as well as third-party tools like Terragrunt and Terraform Compliance, can be used to automatically compare declared and actual infrastructure states. Experts recommend running automated drift detection daily and treating any discrepancy as a failing test. Establishing a culture where all changes flow through IaC configurations, supported by documentation and automated validation, is key to preventing drift from occurring.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

How a Single Zod Schema Can Validate, Type, and Repair AI Model Outputs

A common failure point in AI-powered applications is the gap between a raw string returned by a model and the structured object a UI component expects. Using a single Zod schema can address this by serving simultaneously as a runtime validator, a compile-time TypeScript type, a JSON Schema constraint sent to the model, and a source of structured error messages for repair prompts. Zod 4 includes a built-in z.toJSONSchema() method, while Zod 3 users must rely on the separate zod-to-json-schema package, making version awareness important. When constrained decoding against a schema is supported by a provider, the article recommends using it to make malformed JSON structurally impossible rather than just unlikely. For cases where strict output constraints are unavailable, the approach distinguishes between two distinct failure modes — non-JSON responses and schema mismatches — so that repair instructions sent back to the model are accurate and targeted.

0 comments Read more at DEV Community