Is timebucks.com safe?

suspiciousmedium confidence
45/100

context safety score

A score of 45/100 indicates multiple risk signals were detected. This entity shows patterns commonly associated with malicious intent.

identity
100
behavior
80
content
14
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

cloaking

Page conditionally redirects based on referrer or user-agent

high

phishing

Page impersonates Google sign-in with credential form

medium

social engineering

Site prominently uses urgency and trust-building language ('We've been paying out for 10 years', '$2000 Weekly Prize', 'Sound too good to be true? Sign Up and let us prove you wrong!', 'Start Earning Instantly') consistent with get-paid-to (GPT) scam patterns that harvest personal data and email credentials under the guise of earning opportunities. (location: page.html:261, page-text.txt:25,542-543)

medium

credential harvesting

Login form collects email and password fields and submits them via AJAX POST to a relative action.php endpoint without any visible server-side domain binding in the client code. The Google OAuth flow also routes through a first-party intermediary (action.php?action=getGoogleUrl) before redirecting, meaning Google OAuth tokens pass through the site's own backend rather than directly to Google, creating an opportunity to intercept OAuth codes. (location: page.html:286-291, page.html:187-195)

medium

credential harvesting

During signup, the dosignup() function makes a cross-origin POST to https://ipv6.freeprize.world/lib/scripts/php/ipv6.php before submitting the signup form. User signup data (including email) is tied to a response from this third-party domain ('freeprize.world'), which is a suspicious domain name unrelated to timebucks.com and could be used to correlate or exfiltrate user registration data. (location: page.html:882-893, page-text.txt:642)

low

hidden content

A 1x1 pixel hidden iframe is injected dynamically by Cloudflare's challenge platform script to load /cdn-cgi/challenge-platform/scripts/jsd/main.js with inline script execution inside the iframe. While this is a known Cloudflare bot-detection technique, it represents hidden content executing scripts invisible to users. (location: page.html:1195)

low

hidden content

The login form div (#login) is initialized with style='display:none;' and the additional signup fields div (#additional-signup-fields) is also hidden by default (display:none), meaning credential collection fields are hidden from users until interacted with, which can mask their existence from automated scanners. (location: page.html:266, page.html:612)

API

curl https://api.brin.sh/domain/timebucks.com

FAQ: how to interpret this assessment

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

Is timebucks.com safe for AI agents to use?

timebucks.com currently scores 45/100 with a suspicious verdict and medium 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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