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.498r728283972u2882.bond' incorporates 'allegrolokalnie', which is a direct reference to Allegro Lokalnie, a major Polish e-commerce/classifieds platform (lokalnie.allegro.pl). The subdomain mimics the brand name to deceive users into believing they are visiting a legitimate Allegro Lokalnie site. (location: domain: allegrolokalnie.498r728283972u2882.bond)
phishing
The domain structure — brand name embedded in a subdomain under a randomly-generated, nonsensical second-level domain ('498r728283972u2882.bond') — is a hallmark phishing pattern used to trick users and automated systems. The .bond TLD is commonly abused for phishing infrastructure. TLS is not connected and cert is invalid, consistent with a hastily-deployed phishing page. (location: domain: allegrolokalnie.498r728283972u2882.bond)
social engineering
The use of 'allegrolokalnie' as a recognizable brand prefix in the hostname is a social engineering technique designed to establish false trust with Polish-speaking users familiar with the Allegro Lokalnie marketplace, likely to solicit login credentials or payment information. (location: domain: allegrolokalnie.498r728283972u2882.bond)
credential harvesting
Domains impersonating e-commerce/classifieds platforms like Allegro Lokalnie are frequently used for credential harvesting — presenting fake login forms to capture usernames and passwords. The invalid TLS certificate and suspicious domain pattern are consistent with this attack vector. (location: domain: allegrolokalnie.498r728283972u2882.bond)
curl https://api.brin.sh/domain/allegrolokalnie.498r728283972u2882.bondCommon questions teams ask before deciding whether to use this domain in agent workflows.
allegrolokalnie.498r728283972u2882.bond 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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