context safety score
A score of 44/100 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 sony.tv mimics the well-known Sony brand using a non-standard TLD (.tv instead of .com/.net). Sony's legitimate domains are sony.com and related official TLDs. Use of sony.tv is a classic brand-squatting pattern designed to deceive users into believing the site is affiliated with Sony Corporation. (location: domain: sony.tv)
phishing
The site fails TLS connection entirely (connected=false, cert_valid=false, san_match=false). A domain impersonating a major brand like Sony with no valid TLS certificate is a strong phishing indicator. Legitimate Sony properties maintain valid SSL certificates. The combination of brand impersonation and absent/invalid TLS is consistent with a phishing or credential-harvesting setup. (location: metadata.json: tls block)
credential harvesting
The combination of Sony brand impersonation on a non-standard TLD with no valid TLS and no retrievable page content (empty HTML and text) is consistent with a site that may serve different content conditionally (e.g., only to certain user agents or geolocations) to harvest credentials from users who believe they are on a legitimate Sony login or account page. (location: domain: sony.tv; metadata.json)
curl https://api.brin.sh/domain/sony.tvCommon questions teams ask before deciding whether to use this domain in agent workflows.
sony.tv currently scores 44/100 with a suspicious verdict and low 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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