context safety score
A score of 47/100 indicates multiple risk signals were detected. This entity shows patterns commonly associated with malicious intent.
tls connection failed
Could not establish TLS connection
malicious redirect
TLS connection failed entirely (connected=false, cert_valid=false) for nosok-top.com, indicating the site is either non-functional, taken down, or actively blocking crawlers/scanners while potentially redirecting live browser traffic through a different mechanism. This is a common evasion tactic used by phishing and malware distribution sites. (location: metadata.json: tls.connected=false, tls.cert_valid=false)
phishing
Domain nosok-top.com uses a hyphenated top-level pattern (.com appended with 'top' as subdomain-style label) which is a known phishing domain construction technique. Combined with 221-day domain age, failed TLS, and completely empty page content (evasion against automated scanners), the domain exhibits multiple phishing infrastructure characteristics. (location: metadata.json: domain=nosok-top.com, domain_age_days=221)
hidden content
The site returned completely empty HTML and text content despite being a registered, active domain. Serving empty pages to automated scanners while delivering malicious content to real browser sessions (cloaking) is a well-documented evasion technique used by phishing kits and malware landing pages. (location: page.html (empty), page-text.txt (empty), page-hidden.txt (empty))
curl https://api.brin.sh/domain/nosok-top.comCommon questions teams ask before deciding whether to use this domain in agent workflows.
nosok-top.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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