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
The domain 'awsdns-09.net' closely mimics Amazon Web Services' legitimate DNS service branding (Route 53 uses 'awsdns' nameserver hostnames such as ns-*.awsdns-*.com/net/org/co.uk). The .net TLD and numeric suffix pattern ('awsdns-09') are crafted to appear as an official AWS infrastructure domain, deceiving users or automated systems into trusting it as a legitimate AWS service. (location: domain: awsdns-09.net)
phishing
The domain impersonates AWS DNS infrastructure and has no valid TLS certificate (TLS connected=false, cert_valid=false), which is highly anomalous for any legitimate AWS service. Combined with brand impersonation, this domain profile is consistent with a phishing or credential harvesting operation targeting AWS customers or systems that interact with AWS DNS endpoints. (location: metadata.json: tls.connected=false, tls.cert_valid=false)
credential harvesting
Domains spoofing AWS DNS infrastructure are commonly used to intercept DNS queries, redirect traffic, or harvest AWS credentials from automated agents, CI/CD pipelines, or cloud workloads that may trust 'awsdns'-branded hostnames. The absence of TLS and empty page content is consistent with a parked or early-stage harvesting site. (location: domain: awsdns-09.net; metadata.json)
malicious redirect
The site serves no content (empty HTML and text) but maintains a live domain registration. This is a common pattern for domains held in reserve for DNS hijacking or traffic redirection attacks, where the domain is used to silently redirect DNS resolution or HTTP traffic rather than serving a visible page. (location: page.html (empty); page-text.txt (empty))
curl https://api.brin.sh/domain/awsdns-09.netCommon questions teams ask before deciding whether to use this domain in agent workflows.
awsdns-09.net 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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