context safety score
A score of 37/100 indicates multiple risk signals were detected. This entity shows patterns commonly associated with malicious intent.
encoded payload
suspicious base64-like blobs detected in page content
phishing
1 deceptive links where visible host does not match destination host
malicious redirect
The scanned URL is boutell.com (a long-established developer/technology website, domain age 11250 days), but the page being served is entirely from boutell.co.uk — a UK payday loan broker. The HTML contains zero references to boutell.com and 133 references to boutell.co.uk. The canonical URL, og:url, title, favicon, and all content point to www.boutell.co.uk. The legitimate boutell.com domain is serving content from a completely different site without any redirect disclosure. (location: page.html: <link rel=canonical href=https://www.boutell.co.uk/>, <title>Boutell.co.uk | Payday Loans Paid Out Instantly</title>)
brand impersonation
boutell.com is a well-known, long-standing developer resource domain (11250 days old). The page being served hijacks that domain's trust and reputation to present boutell.co.uk payday loan content. Users and AI agents navigating to boutell.com would receive payday loan content from a different legal entity (Chojin Ltd) with no indication they have been redirected or that the content is not from the original boutell.com owner. (location: metadata.json: domain=boutell.com; page.html: og:site_name='Boutell.co.uk', organization schema referencing boutell.co.uk)
social engineering
The page targets financially vulnerable users with aggressive loan marketing: 'Bad Credit Considered', 'Same Day Payout', 'No Upfront Fees', 'Even on Bank Holidays 24/7'. It collects personal and financial information from users who believe they are visiting the trusted boutell.com domain. APR rates up to 1721% are disclosed only in fine print. The combination of domain trust hijacking and high-pressure financial messaging constitutes social engineering. (location: page-text.txt: loan application form, eligibility criteria section, 'Rates from 48.1% APR to 1721% APR')
credential harvesting
The site solicits sensitive personal and financial data (UK bank account details, income information, credit history, personal identifiers) via an online loan application form, presented under the trusted boutell.com domain. Users submitting applications believe they are on the established boutell.com site, not a third-party loan broker (Chojin Ltd, FCA ref 732880). (location: page-text.txt: 'apply now' form, eligibility criteria requesting bank account and income details; page.html: wpcf7 contact form API endpoint at boutell.co.uk/wp-json/)
curl https://api.brin.sh/domain/boutell.comCommon questions teams ask before deciding whether to use this domain in agent workflows.
boutell.com 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.
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.
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.
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.
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.
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.
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.
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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