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
The domain 'transsion-message.com' impersonates Transsion Holdings (a major mobile device manufacturer) by combining the brand name with a generic '-message' suffix, a common typosquatting/brand-abuse pattern used to deceive users into believing they are interacting with official Transsion communications. (location: domain: transsion-message.com)
phishing
The domain structure 'transsion-message.com' is consistent with phishing infrastructure: it mimics a legitimate brand (Transsion) with a message-themed subdomain pattern. The TLS certificate is invalid and the connection failed (connected=false, cert_valid=false), which is atypical for legitimate brand communications and consistent with a hastily-deployed phishing site or one that serves content only under specific conditions (e.g., geofencing, user-agent targeting). (location: domain: transsion-message.com; metadata.json tls block)
social engineering
The '-message' suffix in the domain name is designed to create urgency or legitimacy, implying the user has a pending message from Transsion. This is a classic social engineering lure to prompt users to visit the page and interact with its content. (location: domain: transsion-message.com)
hidden content
The page.html, page-text.txt, and page-hidden.txt files are all empty despite the domain resolving and being scanned. This indicates the site may be serving content conditionally — only to specific user agents, IP ranges, or referrers — a known evasion technique used by phishing and malware delivery sites to avoid automated scanners. (location: page.html, page-text.txt, page-hidden.txt (all empty))
curl https://api.brin.sh/domain/transsion-message.comCommon questions teams ask before deciding whether to use this domain in agent workflows.
transsion-message.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.
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