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
brand impersonation
Domain 'minutemedia-prebid.com' impersonates Minute Media, a legitimate media company, by appending '-prebid' to the brand name. This pattern is consistent with typosquatting or brand abuse targeting ad tech ecosystems (prebid.js/header bidding infrastructure). (location: metadata.json: domain field)
malicious redirect
TLS connection failed (connected=false, cert_valid=false) yet the domain resolves. A site that cannot establish a valid TLS session but remains reachable may be serving content over HTTP or via a redirect chain intended to bypass security tooling, or acting as a silent redirect/tracking endpoint in ad supply chains. (location: metadata.json: tls object)
hidden content
The page returned empty HTML and empty visible text, yet the domain is live and resolves. An empty or blank page with no content is a common indicator of a cloaking technique — serving different content to crawlers/scanners versus real browser sessions or targeted victims. (location: page.html, page-text.txt (both empty))
phishing
Combination of brand impersonation of 'Minute Media', failed TLS, empty page content, and an unknown hosting reputation creates a profile consistent with a phishing or credential-harvesting infrastructure domain that serves payloads only to targeted sessions. (location: metadata.json, page.html)
curl https://api.brin.sh/domain/minutemedia-prebid.comCommon questions teams ask before deciding whether to use this domain in agent workflows.
minutemedia-prebid.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.
integrate brin in minutes — one GET request is all it takes. query the api, browse the registry, or download the full dataset.