context safety score
A score of 30/100 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 'allegrolokalnie.198x9230d31.sbs' impersonates Allegro Lokalnie, a major Polish e-commerce/classifieds platform. The subdomain 'allegrolokalnie' directly mimics the legitimate brand 'Allegro Lokalnie' (lokalnie.allegro.pl), hosted under a suspicious registrar domain '198x9230d31.sbs' — a classic typosquatting/brand-impersonation pattern used to deceive users into believing they are on the legitimate Allegro platform. (location: domain: allegrolokalnie.198x9230d31.sbs)
phishing
The domain structure — brand name as subdomain under a randomized-looking SLD with a non-standard TLD (.sbs) — is a hallmark phishing infrastructure pattern. Combined with TLS connection failure (connected=false, cert_valid=false), this strongly indicates an active phishing site that failed to maintain its certificate or is serving content over an insecure channel, consistent with credential-harvesting operations targeting Allegro Lokalnie users. (location: domain: allegrolokalnie.198x9230d31.sbs, TLS: connected=false, cert_valid=false)
credential harvesting
Allegro Lokalnie impersonation sites are routinely used to harvest Polish users' Allegro account credentials and payment information. The domain mimics the legitimate classifieds subdomain of Allegro, where users buy/sell goods and share payment details. The combination of brand impersonation and TLS failure is consistent with a credential-harvesting page that may present a fake login form. (location: domain: allegrolokalnie.198x9230d31.sbs)
social engineering
The use of a recognizable brand name ('allegrolokalnie') in the subdomain is a deliberate social engineering tactic to build false trust. Users familiar with Allegro Lokalnie may not scrutinize the full domain and may be deceived into interacting with the fraudulent site, submitting credentials or payment data. (location: domain: allegrolokalnie.198x9230d31.sbs)
curl https://api.brin.sh/domain/allegrolokalnie.198x9230d31.sbsCommon questions teams ask before deciding whether to use this domain in agent workflows.
allegrolokalnie.198x9230d31.sbs currently scores 30/100 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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