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 'samsungdiroute.net' impersonates Samsung brand by incorporating the 'samsung' trademark into a non-official domain. The '.net' TLD and appended 'diroute' string are common tactics to create a convincing but fraudulent domain. (location: metadata.json: domain field / URL: https://samsungdiroute.net)
phishing
Domain pattern 'samsungdiroute.net' is consistent with phishing infrastructure: it combines a major brand name (Samsung) with a generic routing/redirect term ('diroute'), TLS is invalid/not connected (cert_valid: false, connected: false), and hosting reputation is unknown. This combination is a strong indicator of a phishing or credential harvesting site. (location: metadata.json: tls and hosting fields)
malicious redirect
The term 'diroute' in the domain name (samsungdiroute.net) strongly implies a redirect or routing function. Combined with brand impersonation and invalid TLS, this domain is likely used as a redirect hop in a phishing or malware distribution chain. (location: metadata.json: domain field / URL: https://samsungdiroute.net)
credential harvesting
Domain mimics Samsung, a major consumer electronics brand with an online account ecosystem. Sites impersonating Samsung are frequently used to harvest Samsung account credentials, payment information, or personal data. Invalid TLS (no valid certificate) further indicates this is not a legitimate Samsung property. (location: metadata.json: domain and tls fields)
curl https://api.brin.sh/domain/samsungdiroute.netCommon questions teams ask before deciding whether to use this domain in agent workflows.
samsungdiroute.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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