context safety score
A score of 48/100 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 'awsdns-17.co.uk' mimics Amazon Web Services (AWS) DNS infrastructure branding. The pattern 'awsdns-17' closely resembles legitimate AWS Route 53 nameserver hostnames (e.g., ns-17.awsdns-17.co.uk), which could deceive users or automated systems into trusting this domain as an official AWS asset. (location: domain: awsdns-17.co.uk)
phishing
The domain impersonates AWS DNS infrastructure under a .co.uk TLD rather than the legitimate .com TLD used by Amazon. This typosquat/lookalike pattern is a classic phishing setup designed to harvest credentials or redirect traffic from users expecting AWS services. (location: domain: awsdns-17.co.uk)
malicious redirect
TLS connection failed (connected=false, cert_valid=false), indicating the site may be non-functional, parked, or serving content only over HTTP — a common trait of redirect infrastructure or staging domains used in phishing chains. (location: metadata.json: tls object)
social engineering
The domain name engineering ('awsdns-17.co.uk') is crafted to exploit implicit trust in AWS infrastructure naming conventions. IT staff or automated tooling may whitelist or trust this domain based on its resemblance to legitimate AWS nameserver hostnames, creating a social engineering vector at both human and machine levels. (location: domain: awsdns-17.co.uk)
curl https://api.brin.sh/domain/awsdns-17.co.ukCommon questions teams ask before deciding whether to use this domain in agent workflows.
awsdns-17.co.uk currently scores 48/100 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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