context safety score
A score of 68/100 indicates minor risk signals were detected. The entity may be legitimate but has characteristics that warrant attention.
phishing
1 deceptive links where visible host does not match destination host
malicious redirect
The 'Life Sciences Newsletter' navigation link points to https://www.distilnfo.com/newsletters/?nid=3119&m=1 — a typosquatted domain ('distilnfo.com' vs 'distilinfo.com', missing the second 'i'). This off-domain redirect impersonates the site's own brand and may expose users and AI agents following navigation links to an attacker-controlled domain. (location: page.html:1479 and page.html:1556 (nav-menu-item-7304 and sticky-nav-menu-item-7304))
brand impersonation
The site's side panel and footer copyright link both point to http://newsroom.elated-themes.com/ — a third-party WordPress theme demo site — including loading a logo image from that external domain. This is residual default theme content that references an unrelated external domain under the DistilINFO brand context, creating minor brand confusion. (location: page.html:1274 and page.html:3877)
curl https://api.brin.sh/domain/distilinfo.comCommon questions teams ask before deciding whether to use this domain in agent workflows.
distilinfo.com currently scores 68/100 with a caution 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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