context safety score
A score of 46/100 indicates multiple risk signals were detected. This entity shows patterns commonly associated with malicious intent.
tls connection failed
Could not establish TLS connection
phishing
Domain 'uhfoadysw.com' uses a randomly-generated, nonsensical name (8 random characters) — a common technique to create disposable phishing or malware-delivery domains that evade brand-based blocklists. (location: metadata.json: domain)
phishing
TLS connection failed (connected=false, cert_valid=false) meaning the site either has no valid HTTPS certificate or is unreachable over TLS. Legitimate sites do not operate without valid TLS; this is consistent with a short-lived phishing or scam infrastructure domain. (location: metadata.json: tls)
phishing
Domain is only 271 days old. Newly registered domains with randomized names and failed TLS are strongly associated with phishing and malicious infrastructure campaigns. (location: metadata.json: whois.domain_age_days)
hidden content
Page HTML, visible text, and hidden content files are all empty. The site returned no renderable content, which may indicate the page is cloaked (serving content selectively based on User-Agent or IP), has already been taken down, or is part of a redirect chain that was not followed. (location: page.html, page-text.txt, page-hidden.txt)
curl https://api.brin.sh/domain/uhfoadysw.comCommon questions teams ask before deciding whether to use this domain in agent workflows.
uhfoadysw.com currently scores 46/100 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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