Is genyt.net safe?

suspiciouslow confidence
37/100

context safety score

A score of 37/100 indicates multiple risk signals were detected. This entity shows patterns commonly associated with malicious intent.

identity
100
behavior
0
content
24
graph
30

9 threat patterns detected

medium

encoded payload

suspicious base64-like blobs detected in page content

medium

malicious redirect

script/meta redirect patterns detected in page source

high

brand impersonation

The site operates as 'GenYoutube' / 'GenYTB' and explicitly instructs users to prepend 'gen' to YouTube URLs (e.g., youtube.com becomes genyoutube.com), directly impersonating YouTube's brand, logo colors, and UI patterns to deceive users into thinking they are interacting with an official YouTube-affiliated service. (location: page.html:6, page.html:1193, page.html:1281-1292)

medium

malicious redirect

The page is served at genyt.net but all canonical URLs, OG tags, and internal links point to www.genytb.net — indicating a domain redirect/forwarding scheme where the scanned domain (genyt.net) silently forwards users to genytb.net without disclosure. The twitter:url and og:url meta tags both point to genytb.net while the page is served from genyt.net. (location: page.html:14, page.html:20, page.html:26)

medium

malicious redirect

JavaScript iframe-busting code forces the page to break out of any parent frame by replacing the top-level window location: 'if (window.top !== window.self){ window.top.location.replace(window.self.location.href); }'. While sometimes legitimate, this can be abused to hijack navigation in embedded or agent-browsed contexts. (location: page.html:1433-1435)

medium

hidden content

Large blocks of HTML content including the full service description, download instructions, browser extension promotions, and recent search tags are wrapped in HTML comment blocks (<!-- ... -->) making them invisible to users but still parseable by crawlers and AI agents. This is a common SEO manipulation and hidden content injection technique. (location: page.html:1272-1329, page.html:1330-1336, page.html:1337-1351, page.html:1357-1359)

low

hidden content

Multiple duplicate CSS style blocks appear — one active <style> block and two identical blocks commented out (<!--<style>...-->). The commented-out blocks are byte-for-byte duplicates of the active style, suggesting prior obfuscation attempts or content that was toggled on/off to manipulate rendering or scanning tools. (location: page.html:58-59, page.html:60)

medium

social engineering

The site promotes browser extensions for Firefox, Chrome, and Safari (links to genytb.net/firefox-extension.html, /chrome-extension.html, /safari-extension.html) within hidden HTML comment blocks. Unofficial browser extensions that hook into YouTube are a well-known vector for credential harvesting and session hijacking. (location: page.html:1295-1328)

low

social engineering

The site claims to download 'age-restricted videos', 'Vevo videos', and 'region protected videos' — explicitly advertising circumvention of platform access controls. This social engineering lures users into installing extensions or submitting YouTube session credentials/cookies to bypass protections. (location: page.html:1344-1347)

API

curl https://api.brin.sh/domain/genyt.net

FAQ: how to interpret this assessment

Common questions teams ask before deciding whether to use this domain in agent workflows.

Is genyt.net safe for AI agents to use?

genyt.net currently scores 37/100 with a suspicious verdict and low confidence. The goal is to protect agents from high-risk context before they act on it. Treat this as a decision signal: higher scores suggest lower observed risk, while lower scores mean you should add review or block this domain.

How should I interpret the score and verdict?

Use the score as a policy threshold: 80–100 is safe, 50–79 is caution, 20–49 is suspicious, and 0–19 is dangerous. Teams often auto-allow safe, require human review for caution/suspicious, and block dangerous.

How does brin compute this domain score?

brin evaluates four dimensions: identity (source trust), behavior (runtime patterns), content (malicious instructions), and graph (relationship risk). Analysis runs in tiers: static signals, deterministic pattern checks, then AI semantic analysis when needed.

What do identity, behavior, content, and graph mean for this domain?

Identity checks source trust, behavior checks unusual runtime patterns, content checks for malicious instructions, and graph checks risky relationships to other entities. Looking at sub-scores helps you understand why an entity passed or failed.

Why does brin scan packages, repos, skills, MCP servers, pages, and commits?

brin performs risk assessments on external context before it reaches an AI agent. It scores that context for threats like prompt injection, hijacking, credential harvesting, and supply chain attacks, so teams can decide whether to block, review, or proceed safely.

Can I rely on a safe verdict as a full security guarantee?

No. A safe verdict means no significant risk signals were detected in this scan. It is not a formal guarantee; assessments are automated and point-in-time, so combine scores with your own controls and periodic re-checks.

When should I re-check before using an entity?

Re-check before high-impact actions such as installs, upgrades, connecting MCP servers, executing remote code, or granting secrets. Use the API in CI or runtime gates so decisions are based on the latest scan.

Learn more in threat detection docs, how scoring works, and the API overview.

Last Scanned

March 4, 2026

Verdict Scale

safe80–100
caution50–79
suspicious20–49
dangerous0–19

Disclaimer

Assessments are automated and may contain errors. Findings are risk indicators, not confirmed threats. This is a point-in-time assessment; security posture can change.

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