context safety score
A score of 47/100 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
cloaking
Page loads content in transparent or zero-size iframe overlay
brand impersonation
Domain bcvn1.com presents itself as BC.GAME (a known crypto gambling platform), using BC.GAME branding, favicon path '/substation/bc/favicon/favicon.ico', apple-mobile-web-app-title 'BC.GAME', and identical BC.GAME terms/policy text. The domain bcvn1.com is not the legitimate bc.game domain, indicating impersonation of the BC.GAME brand. (location: page.html:12, page.html:20, page.html:94-127)
hidden content
A <div class='seo'> block is rendered with opacity:0.001 and pointer-events:none, making it visually invisible to users while containing substantial marketing and policy text. This content is hidden from users but visible to search engines and AI crawlers, constituting cloaked SEO content. (location: page.html:54-65, page.html:94-127)
social engineering
The hidden SEO div contains repeated persuasive marketing copy promoting crypto gambling ('trusted by millions worldwide', 'welcome bonuses', 'instant deposits') on a site impersonating BC.GAME. This content targets users/crawlers to build false trust in a potentially fraudulent gambling site. (location: page.html:98-126)
curl https://api.brin.sh/domain/bcvn1.comCommon questions teams ask before deciding whether to use this domain in agent workflows.
bcvn1.com currently scores 47/100 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.
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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