context safety score
A score of 36/100 indicates multiple risk signals were detected. This entity shows patterns commonly associated with malicious intent.
tls connection failed
Could not establish TLS connection
brand impersonation
Domain 'striiiipst.com' uses excessive repeated characters ('iii') to visually mimic 'stripe.com', a well-known payment processing brand. This typosquatting technique targets users and automated agents that may confuse the domain with the legitimate Stripe brand. (location: metadata.json: domain field)
phishing
The domain 'striiiipst.com' is a typosquatted variant of 'stripe.com'. Combined with a TLS failure (TLS not connected, cert invalid), this pattern is consistent with a phishing infrastructure setup targeting Stripe customers or payment credential harvesting. (location: metadata.json: domain, tls fields)
credential harvesting
The combination of a Stripe brand-impersonating domain name and invalid/missing TLS certificate is a strong indicator of a credential harvesting site designed to capture payment credentials or Stripe account logins from unsuspecting users or automated agents. (location: metadata.json: domain striiiipst.com, tls.connected=false, tls.cert_valid=false)
malicious redirect
The page content is entirely empty (page.html, page-text.txt, page-hidden.txt all blank) on a domain with a suspicious name and broken TLS. Empty page content on a live domain may indicate a redirect chain, cloaking, or content served only under specific conditions (e.g., user-agent, referrer, or geographic targeting). (location: page.html, page-text.txt, page-hidden.txt (all empty))
curl https://api.brin.sh/domain/striiiipst.comCommon questions teams ask before deciding whether to use this domain in agent workflows.
striiiipst.com currently scores 36/100 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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