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
phishing
Domain 'smailru.net' is a homoglyph/typosquat of the Russian email service 'mail.ru' — inserting an 's' prefix to mimic the legitimate brand. This pattern is a classic phishing domain construction used to deceive users and AI agents into trusting a fraudulent site as though it were the real mail.ru service. (location: domain: smailru.net)
brand impersonation
The domain 'smailru.net' directly impersonates the well-known Russian email provider 'mail.ru' (VK Group). The 's' prefix and '.net' TLD are common techniques to construct a lookalike domain that visually and phonetically resembles 'mail.ru', enabling brand impersonation attacks against mail.ru users. (location: domain: smailru.net)
malicious redirect
TLS connection failed entirely (connected=false, cert_valid=false, san_match=false) for a domain impersonating a major email provider. A non-functional or stripped TLS configuration on an impersonation domain is consistent with a redirect/gateway site that may serve malicious content, harvest credentials, or forward victims to attacker-controlled infrastructure without a secure channel. (location: metadata.json: tls block)
credential harvesting
The combination of a mail.ru impersonation domain ('smailru.net') with a failed TLS configuration and no page content rendered strongly suggests a credential harvesting setup. Users or AI agents navigating to this domain believing it is mail.ru may be presented with fake login forms designed to steal email credentials. (location: domain: smailru.net, metadata.json: tls block)
curl https://api.brin.sh/domain/smailru.netCommon questions teams ask before deciding whether to use this domain in agent workflows.
smailru.net 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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