context safety score
A score of 34/100 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 'capitalonegslbex.com' is a typosquat/impersonation of Capital One (capitalone.com). The domain appends a nonsensical string 'gslbex' to the legitimate brand name, a classic brand impersonation pattern used to deceive users into believing they are interacting with a legitimate Capital One service. (location: domain: capitalonegslbex.com)
phishing
Domain 'capitalonegslbex.com' impersonates Capital One, a major financial institution, with a URL structure designed to trick users into submitting banking credentials or personal financial information. The combination of brand impersonation targeting a financial brand is a high-confidence phishing indicator. (location: domain: capitalonegslbex.com)
credential harvesting
A domain impersonating Capital One (a financial services company) with no valid TLS certificate and no accessible content is consistent with a credential harvesting infrastructure — either a phishing landing page, a dormant harvesting endpoint, or a redirector in a multi-stage attack chain. (location: domain: capitalonegslbex.com, tls.connected=false, tls.cert_valid=false)
malicious redirect
The site returned empty page content (page.html and page-text.txt are empty) despite the domain being reachable enough to be scanned. This is consistent with a cloaked or redirect-based attack where content is only served to targeted victims or after initial redirection, hiding the true malicious payload from scanners. (location: page.html (empty), page-text.txt (empty))
curl https://api.brin.sh/domain/capitalonegslbex.comCommon questions teams ask before deciding whether to use this domain in agent workflows.
capitalonegslbex.com currently scores 34/100 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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